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Year Title
2020 Mathematical Theories of Machine Learning - Theory and Applications
2020 Machine Learning and Data Mining in Aerospace Technology
2020 Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2017
2020 Machine Learning with Spark™ and Python®: Essential Techniques for Predictive Analytics
2020 Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale
2020 Machine Learning and Big Data with kdb+/q
2020 Practical Machine Learning With Rust: Creating Intelligent Applications In Rust
2020 Machine Learning Approaches In Cyber Security Analytics
2020 Learn TensorFlow 2.0: Implement Machine Learning And Deep Learning Models With Python
2020 Machine Learning for Business: Using Amazon SageMaker and Jupyter`
2020 Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers
2020 Machine Learning for Future Wireless Communications
2020 Algorithms In Machine Learning Paradigms
2020 A Concise Introduction to Machine Learning
2020 Building Machine Learning Powered Applications: Going From Idea to Product
2020 Non-Tuned Machine Learning Approach for Predicting the Compressive Strength of High-Performance Concrete
2020 An Autoencoder and Machine Learning Model to Predict Suicidal Ideation with Brain Structural Imaging
2020 Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator
2020 Radiomics and Machine Learning in Anal Squamous Cell Carcinoma: A New Step for Personalized Medicine?
2020 Machine Learning Approaches for Ship Speed Prediction towards Energy Efficient Shipping
2020 Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers
2020 How We Learn: Why Brains Learn Better Than Any Machine ... for Now
2020 Introducing Machine Learning
2020 Building Machine Learning Powered Applications: Going from Idea to Product
2020 Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision
2020 Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor
2020 Machine Learning Paradigms: Advances in Learning Analytics
2020 The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)
2020 Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python
2020 Machine Learning and Artificial Intelligence
2020 Nature-Inspired Computation in Data Mining and Machine Learning
2020 The NeurIPS '18 Competition: From Machine Learning to Intelligent Conversations
2020 Advances in Neural Computation, Machine Learning, and Cognitive Research III: Selected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia
2020 Machine Learning Approaches to Non-Intrusive Load Monitoring
2020 The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques
2020 Machine Learning Systems for Multimodal Affect Recognition
2020 Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
2020 Optimization in Machine Learning and Applications
2020 Evolutionary Machine Learning Techniques: Algorithms and Applications
2020 Machine Learning: Hands-On for Developers and Technical Professionals
2020 Statistics, data mining, and machine learning in astronomy : a practical Python guide for the analysis of survey data
2020 Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning and Deep Learning design skills
2020 Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning and Deep Learning design skills
2020 Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning
2020 Machine Learning for iOS Developers
2020 Machine Learning - Hands-On for Developers and Technical Professionals (Java).
2020 Text Mining with Machine Learning: Principles and Techniques
2020 Machine Learning Refined: Foundations, Algorithms, and Applications
2020 An Analog Circuit Fault Diagnosis Method Based on Circle Model and Extreme Learning Machine
2020 Applied Machine Learning with Python
2020 A Novel Machine Learning Aided Antenna Selection Scheme for MIMO Internet of Things
2020 Practical Rust Projects: Building Game, Physical Computing, and Machine Learning Applications
2020 Lie Group Cohomology and (Multi)Symplectic Integrators: New Geometric Tools for Lie Group Machine Learning Based on Souriau Geometric Statistical Mechanics
2020 Self-Service Data Science in Healthcare with Automated Machine Learning
2020 Exploring West African Folk Narrative Texts Using Machine Learning
2020 Claim Models - Granular Forms and Machine Learning Forms
2020 CRICUT FOR BEGINNERS: THE ULTIMATE PRACTICAL GUIDE TO LEARN HOW TO START CRICUT STEP BY STEP AND BECOME A SEASONED MASTER MACHINE WITH ILLUSTRATED PRATICAL EXAMPLES
2020 Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
2020 Machine Learning and Its Applications
2020 Machine Learning and Its Applications
2020 Mastering Machine Learning Algorithms - Second Edition
2020 Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
2020 Linear Algebra and Optimization for Machine Learning: A Textbook
2020 First-Order and Stochastic Optimization Methods for Machine Learning
2020 Data Mining and Machine Learning: Fundamental Concepts and Algorithms
2020 Practical Machine Learning in R
2020 Machine Learning With Python For Everyone
2020 Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
2020 Machine Learning: A Bayesian and Optimization Perspective
2020 Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Wind Energy Engineering)
2020 Machine Learning: Hands-On for Developers and Technical Professionals
2020 Mathematics for Machine Learning
2020 Python 3 for Machine Learning
2020 Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More
2020 Machine Learning for Business: Using Amazon Sagemaker and Jupyter
2020 Handbook of Research on Machine and Deep Learning Applications for Cyber Security (Advances in Information Security, Privacy, and Ethics)
2020 Math for Programmers: 3D graphics, machine learning, and simulations with Python MEAP V10
2020 New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling
2020 Math for Programmers - 3D graphics, machine learning, and simulations with Python
2020 Hands-On Machine Learning with C++
2020 Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers
2020 Machine Learning for Future Wireless Communications (Wiley - IEEE)
2020 Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
2020 Document Processing Using Machine Learning
2020 A Primer on Machine Learning Applications in Civil Engineering
2020 The Art of Feature Engineering: Essentials for Machine Learning
2020 The Art of Feature Engineering: Essentials for Machine Learning
2020 Machine Learning for Asset Managers
2020 Machine Learning With Health Care Perspective: Machine Learning and Healthcare
2020 Machine Learning Refined: Foundations, Algorithms, and Applications
2020 On The Path To AI: Law’s Prophecies And The Conceptual Foundations Of The Machine Learning Age
2020 Python WebApp: Learn how to serve a Machine Learning Model predicting car prices (Full stack Book 1)
2020 Python WebApp: Learn how to serve a Machine Learning Model predicting car prices (Full stack Book 1)
2020 PYTHON FOR BEGINNERS: A Crash Course Guide for Machine Learning and Web Programming. Learn a Computer Language in Easy Steps with Coding Exercises.
2020 PYTHON FOR BEGINNERS: A Crash Course Guide for Machine Learning and Web Programming. Learn a Computer Language in Easy Steps with Coding Exercises.
2020 Grokking Machine Learning MEAP V07
2020 Accelerated Optimization for Machine Learning: First-Order Algorithms
2020 Machine Learning for Beginners: The Ultimate Guide to Learn and Understand Machine Learning – A Practical Approach to Master Machine Learning to Improve and Increase Business Results
2020 Machine Learning for Beginners: The Ultimate Guide to Learn and Understand Machine Learning – A Practical Approach to Master Machine Learning to Improve and Increase Business Results
2020 Python Machine Learning: Machine Learning And Deep Learning From Scratch Illustrated With Python, Scikit-Learn, Keras, Theano And Tensorflow
2020 Python Machine Learning: Machine Learning And Deep Learning From Scratch Illustrated With Python, Scikit-Learn, Keras, Theano And Tensorflow
2020 Mastering Azure Machine Learning: Perform large-scale end-to-end advanced machine learning on the cloud with Microsoft Azure ML
2020 Mastering Azure Machine Learning: Perform large-scale end-to-end advanced machine learning on the cloud with Microsoft Azure ML
2020 Hands-On Machine Learning with R
2020 Artificial Intelligence By Example: Acquire advanced AI, machine learning, and deep learning design skills, 2nd Edition
2020 Hackers guide to machine learning with python
2020 Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines
2020 Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
2020 Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
2020 Just Enough R!: An Interactive Approach to Machine Learning and Analytics
2020 Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition
2020 Machine Learning for IOS Developers
2020 MACHINE LEARNING WITH PYTHON: Step by Step methods to master Machine Learning with Python
2020 Machine Learning with R, Tidyverse, and Mlr
2020 Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques
2020 Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques
2020 Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More
2020 Artificial Intelligence By Example: Acquire advanced AI, machine learning, and deep learning design skills, 2nd Edition. Code
2020 Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines. Code
2020 Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques. Code
2020 Learn Data Mining Through Excel: A Step-by-step Approach for Understanding Machine Learning Methods
2020 Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods
2020 Practical Machine Learning for Data Analysis Using Python
2020 Machine Learning in Medicine – A Complete Overview
2020 Data Science and Machine Learning: Mathematical and Statistical Methods
2020 MATLAB Statistics and Machine Learning Toolbox™ User's Guide
2020 Advanced Multi-industry Applications of Big Data Clustering and Machine Learning
2020 PYTHON FOR DATA SCIENCE: Guide to computer programming and web coding. Learn machine learning, artificial intelligence, NumPy and Pandas packages for data analysis. Step-by-step exercises included.
2020 Machine Learning in Finance: From Theory to Practice
2020 Artificial Intelligence and Machine Learning: AI Superpowers and Human+Machine a Visionary Revolution in Finance, Medicine and Business. Find out Top Influent People of the Era with a Modern Approach
2020 Machine Learning for Speaker Recognition
2020 Approaching (Almost) Any Machine Learning Problem
2020 Artificial Intelligence: The Ultimate Guide to AI, The Internet of Things, Machine Learning, Deep Learning + a Comprehensive Guide to Robotics
2020 TensorFlow: Deep Learning and Artificial Intelligence (Machine Learning)
2020 Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques
2020 Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques
2020 Statistical Machine Learning for Human Behaviour Analysis
2020 AI Self-Driving Cars Divulgement: Practical Advances In Artificial Intelligence And Machine Learning
2020 AI Self-Driving Cars Divulgement: Practical Advances In Artificial Intelligence And Machine Learning
2020 Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
2020 Zero to Hero in Machine Learning: Part 1
2020 Linear Algebra and Optimization for Machine Learning: A Textbook
2020 Linear Algebra and Optimization for Machine Learning: A Textbook
2020 Machine Learning for Beginners. A Complete and Phased Beginner’s Guide to Learning and Understanding Machine Learning and Artificial Intelligence
2020 AI Self-Driving Cars Divulgement: Practical Advances In Artificial Intelligence And Machine Learning
2020 AI Self-Driving Cars Divulgement: Practical Advances In Artificial Intelligence And Machine Learning
2020 Approaching (almost) any machine learning problem
2020 PYTHON: Learn Coding Programs with Python Programming and Master Data Analysis & Analytics, Data Science and Machine Learning with the Complete Python for Beginners Crash Course - 4 Books in 1
2020 Python for Beginners: The Crash Course to Learn Python Programming in 3-Days (or less). Master Artificial Intelligence for Data Science and Machine Learning + Practical Exercises
2020 Python for Beginners: Start Right Now to Learn Computer Programming with the Best Crash Course. Improve your Skills with Machine Learning, Data Analysis and Data Science
2019 Machine Learning Paradigms
2019 Machine Learning and Iot: A Biological Perspective
2019 Empirical Approach to Machine Learning
2019 Source Separation and Machine Learning
2019 Machine Learning Applications Using Python - Cases Studies from Healthcare, Retail, and Finance
2019 Building Chatbots with Python: Using Natural Language Processing and Machine Learning
2019 Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
2019 Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
2019 Machine Learning with PySpark with Natural Language Processing and Recommender Systems
2019 Machine Learning using R with Time Series and Industry-based Use Cases in R [2nd ed.]
2019 Machine Learning Applications using Python. Cases Studies from Healthcare, Retail and Finance
2019 Multiview Machine Learning
2019 Advances in Neural Computation, Machine Learning, and Cognitive Research II: Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia
2019 Machine Learning Risk Assessments in Criminal Justice Settings
2019 Machine Learning Paradigms: Theory and Application
2019 Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods
2019 Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
2019 Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2018
2019 Recent Developments in Machine Learning and Data Analytics: IC3 2018
2019 Social Network Forensics, Cyber Security, and Machine Learning
2019 Machine Learning in Sports: Identifying Potential Archers
2019 Compact and Fast Machine Learning Accelerator for IoT Devices
2019 The Hundred-Page Machine Learning Book
2019 Lie Group Machine Learning
2019 Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
2019 Machine Learning and AI for Healthcare. Big Data for improved Health Outcomes
2019 Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance
2019 Building Chatbots with Python: Using Natural Language Processing and Machine Learning
2019 Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
2019 Beginning Machine Learning in iOS: CoreML Framework
2019 Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
2019 The Universal Subject of Our Time: (or: How I Learned to Stop Worrying and Love the Machine)
2019 The hundred-page machine learning book
2019 Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions
2019 Python Machine Learning
2019 Python Machine Learning
2019 Machine Learning, Optimization, and Data Science: 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers
2019 Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes
2019 Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
2019 Beginning Machine Learning in iOS: CoreML Framework
2019 Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part I
2019 Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part II
2019 Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III
2019 Machine Learning in VLSI Computer-Aided Design
2019 Keras to Kubernetes: The Journey of a Machine Learning Model to Production
2019 Hands on Machine Learning with Scikit Learn Keras and TensorFlow
2019 Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
2019 Machine Learning Paradigms: Advances in Data Analytics
2019 Multiview machine learning
2019 Source separation and machine learning
2019 Hands-On Java Deep Learning for Computer Vision - Implement machine learning and neural network methodologies to perform computer vision-related tasks.
2019 Machine Learning by Tutorials: Beginning Machine Learning for Apple and iOS
2019 Machine Learning with Python for Everyone
2019 Machine Learning in Java - Helpful techniques to design, build, and deploy powerful machine learning applications in Java
2019 A global approach to data value maximization : integration, machine learning and multimodal analysis
2019 Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
2019 Introduction to Algorithms for Data Mining and Machine Learning
2019 An Introduction to Machine Learning
2019 Python for Probability, Statistics, and Machine Learning
2019 Machine Learning for Finance
2019 Applied Machine Learning
2019 Applied Machine Learning
2019 Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project
2019 Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python
2019 Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
2019 Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
2019 Applications of Machine Learning in Wireless Communications
2019 Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
2019 Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
2019 Learn PySpark. Build Python-based Machine Learning and Deep Learning Models
2019 Learn PySpark. Build Python-based Machine Learning and Deep Learning Models
2019 Automated Machine Learning: Methods, Systems, Challenges
2019 Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches
2019 Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
2019 An Introduction to Machine Learning
2019 Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
2019 From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II
2019 Machine Learning for Networking: First International Conference, MLN 2018, Paris, France, November 27–29, 2018, Revised Selected Papers
2019 Cyber Security Cryptography and Machine Learning: Third International Symposium, CSCML 2019, Beer-Sheva, Israel, June 27–28, 2019, Proceedings
2019 Adversarial Machine Learning
2019 Machine Learning Pocket Reference: Working with Structured Data in Python
2019 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
2019 Applied machine learning for smart data analysis
2019 Industrial applications of machine learning
2019 Machine learning for computer and cyber security: principles, algorithms, and practices
2019 Machine Learning in Translation Corpora Processing
2019 Machine Learning with R: Expert techniques for predictive modeling
2019 Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
2019 Machine Learning for Data Mining
2019 Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions
2019 Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
2019 Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
2019 Practical Time Series Analysis: Prediction with Statistics and Machine Learning
2019 Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data
2019 Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
2019 Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
2019 Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
2019 What’s New in TensorFlow 2.0: Use the new and improved features of TensorFlow to enhance machine learning and deep learning
2019 Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
2019 Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
2019 Machine Learning with Spark and Python: Essential Techniques for Predictive Analytic
2019 Mastering Go: Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures
2019 Practical Time Series Analysis: Prediction with Statistics and Machine Learning
2019 Machine Learning for Cybersecurity Cookbook
2019 Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
2019 Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
2019 Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
2019 Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
2019 Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
2019 ROS Robotics Projects: Build And Control Robots Powered By The Robot Operating System, Machine Learning, And Virtual Reality
2019 Python Data Science: The Ultimate Handbook for Beginners on How to Explore NumPy for Numerical Data, Pandas for Data Analysis, IPython, Scikit-Learn and Tensorflow for Machine Learning and Business
2019 Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
2019 Mathematics For Machine Learning
2019 Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach
2019 Python Machine Learning Blueprints: Put your machine learning concepts to the test by developing real-world smart projects
2019 Python Machine Learning, 3rd Edition
2019 Practical Time Series Analysis: Prediction with Statistics and Machine Learning
2019 TinyML: Machine Learning With TensorFlow on Arduino, and Ultra-Low Power Micro-Controllers
2019 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
2019 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
2019 Machine Learning Using Python
2019 An Introduction to Machine Learning Interpretability, Second Edition
2019 Linear Algebra for Computer Vision, Robotics, and Machine Learning
2019 Fundamentals of Optimization Theory With Applications to Machine Learning
2019 Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners
2019 Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
2019 Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto
2019 SQL Server 2019 Revealed: Including Big Data Clusters and Machine Learning
2019 Efficacy Analysis in Clinical Trials an Update: Efficacy Analysis in an Era of Machine Learning
2019 Cause Effect Pairs in Machine Learning
2019 Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition
2019 Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26–29, 2019, Proceedings
2019 Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II
2019 Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I
2019 Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV
2019 Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings
2019 Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III
2019 Machine Learning for Cyber Security: Second International Conference, ML4CS 2019, Xi’an, China, September 19-21, 2019, Proceedings
2019 Machine Learning and Intelligent Communications: 4th International Conference, MLICOM 2019, Nanjing, China, August 24–25, 2019, Proceedings
2019 Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures: First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, Octob
2019 Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
2019 OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging: Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019
2019 Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting: First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI
2019 Machine Learning for Medical Image Reconstruction: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
2019 Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support: Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenz
2019 Intelligence Science and Big Data Engineering. Big Data and Machine Learning: 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part II
2019 Smart Agents for the Industry 4.0: Enabling Machine Learning in Industrial Production
2019 Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
2019 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
2019 Monetizing Machine Learning: quickly turn python ml ideas into web applications on the ... serverless cloud
2018 Machine learning for the quantified self : on the art of learning from sensory data
2018 Advances in Neural Computation, Machine Learning, and Cognitive Research : Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia
2018 Introduction to Machine Learning with Applications in Information Security
2018 Granular Computing based Machine Learning. A Big Data Processing Approach
2018 Advances in Soft Computing and Machine Learning in Image Processing
2018 Granular Computing Based Machine Learning: A Big Data Processing Approach
2018 Kinesthetic Perception: A Machine Learning Approach
2018 Machine Learning. A Constraint-based Approach
2018 Practical Machine Learning with Python
2018 Visual Knowledge Discovery and Machine Learning
2018 Basics of Linear Algebra for Machine Learning - Discover the Mathematical Language of Data in Python
2018 Oracle Business Intelligence with Machine Learning : Artificial Intelligence Techniques in OBIEE for Actionable BI
2018 Automatic Tuning of Compilers Using Machine Learning
2018 Machine Learning, Optimization, and Big Data: Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers
2018 Visual Knowledge Discovery and Machine Learning
2018 Machine Learning and Intelligent Communications: Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II
2018 Machine Learning and Intelligent Communications: Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I
2018 The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)
2018 Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data
2018 Machine Learning for Model Order Reduction
2018 Advances in Financial Machine Learning
2018 Building Intelligent Systems: A Guide to Machine Learning Engineering
2018 Machine Learning with TensorFlow
2018 Machine Learning for Text
2018 Image Quality Assessment of Computer-generated Images: Based on Machine Learning and Soft Computing
2018 Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video
2018 Machine Learning for Model Order Reduction
2018 Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing
2018 Machine Learning with TensorFlow
2018 Hands-On Automated Machine Learning
2018 Hands-On Automated Machine Learning
2018 Machine Learning with TensorFlow
2018 Application of FPGA to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing
2018 Artificial Intelligence: With an Introduction to Machine Learning
2018 Practical Artificial Intelligence. Machine Learning, Bots and Agent Solutions using C#
2018 Artificial intelligence : with an introduction to machine learning
2018 Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent
2018 Machine Learning: a Concise Introduction
2018 Evolutionary Approach to Machine Learning and Deep Neural Networks. Neuro-Evolution and Gene Regulatory Networks
2018 Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python
2018 Machine Learning: An Essential Guide to Machine Learning for Beginners
2018 Neural Networks: Deep Learning and Machine Learning Outlined
2018 Machine Learning. A Practical Approach on the Statistical Learning Theory
2018 Scala Machine Learning Projects
2018 Applied Analytics through Case Studies using SAS and R. Implementing Predictive Models and Machine Learning Techniques
2018 Scala Machine Learning Projects (source code)
2018 Scala Machine Learning Projects
2018 Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
2018 Pro Machine Learning Algorithms
2018 Machine Learning Techniques for Online Social Networks
2018 Cyber Security Cryptography and Machine Learning
2018 Machine Learning for Dynamic Software Analysis: Potentials and Limits
2018 Advances in Machine Learning and Data Science
2018 Introduction to Machine Learning with R: Rigorous Mathematical Analysis
2018 An Introduction to Machine Learning Interpretability
2018 Signal processing and machine learning for biomedical big data
2018 Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
2018 Feature Engineering for Machine Learning and Data Analytics
2018 Artificial Intelligence: With an Introduction to Machine Learning
2018 Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
2018 Introduction to Machine Learning with R. Rigorous Mathematical Analysis
2018 Adversarial Machine Learning
2018 Lifelong Machine Learning
2018 Lifelong Machine Learning [2nd ed.]
2018 Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
2018 Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
2018 Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
2018 Applied Natural Language Processing with Python. Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
2018 Machine Learning for Medical Image Reconstruction: First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
2018 Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
2018 Machine Learning and Security: Protecting Systems with Data and Algorithms
2018 Signal Processing and Machine Learning for Brain–Machine Interfaces
2018 Machine Learning Algorithms - Popular algorithms for data science and machine learning
2018 TensorFlow 2 Machine Learning Cookbook
2018 MASTERING MACHINE LEARNING ALGORITHMS.
2018 Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
2018 Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
2018 Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
2018 Make: Jumpstarting Raspberry Pi Vision: Machine Learning and Facial Recognition on a Single-Board Computer
2018 Machine Learning for Ecology and Sustainable Natural Resource Management
2018 Learn Unity ML-Agents - Fundamentals of Unity Machine Learning
2018 Artificial Intelligence for Business: What You Need to Know about Machine Learning and Neural Networks
2018 Hands-On Automated Machine Learning: A Beginner’s Guide to Building Automated Machine Learning Systems Using AutoML and Python
2018 Algorithmic Aspects of Machine Learning
2018 Source Separation and Machine Learning
2018 Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
2018 The Deep Learning Revolution: Machine Intelligence Meets Human Intelligence
2018 Big Data and Machine Learning in Quantitative Investment
2018 Machine Learning with AWS
2018 Machine Learning Projects for Mobile Applications
2018 Artificial Intelligence and Machine Learning Fundamentals
2018 Advances in Financial Machine Learning
2018 A Brief Introduction to Machine Learning for Engineers
2018 A Brief Introduction to Machine Learning for Engineers
2018 Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
2018 Machine Learning and Intelligent Communications: Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings
2018 Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
2018 Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I
2018 Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II
2018 Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III
2018 Understanding and Interpreting Machine Learning in Medical Image Computing Applications: First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings
2018 Explainable and Interpretable Models in Computer Vision and Machine Learning
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2018 Braverman Readings in Machine Learning. Key Ideas from Inception to Current State: International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks
2018 Machine Learning and Knowledge Extraction: Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27–30, 2018, Proceedings
2018 Foundations of Machine Learning
2018 Pragmatic AI: An Introduction to Cloud-Based Machine Learning
2018 Practical Machine Learning with Python : A Problem-Solver’s Guide to Building Real-World Intelligent Systems
2018 Building Intelligent Systems: A Guide to Machine Learning Engineering
2018 Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
2018 Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
2018 Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
2018 Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
2018 Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python
2018 Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
2018 Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
2018 Machine Methods
2018 Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#
2018 Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#
2018 MATLAB Machine Learning Recipes: A Problem-Solution Approach
2018 Machine Learning Yearning (Draft Version)
2018 Prognostics and health management of electronics: fundamentals, machine learning, and internet of things
2018 Advances in Machine Learning and Data Science: Recent Achievements and Research Directives
2018 Explainable and interpretable models in computer vision and machine learning
2018 Machine Learning: a Practical Approach on the Statistical Learning Theory
2018 Machine learning for text
2018 Machine learning methods for behaviour analysis and anomaly detection in video
2018 Mathematical Analysis For Machine Learning And Data Mining
2018 Hands-On Machine Learning for Algorithmic Trading
2018 Industrial Applications of Machine Learning
2018 Machine Learning for Mobile
2018 Foundations of Machine Learning
2018 Machine Learning for Finance: Data algorithms for the markets and deep learning from the ground up for financial experts and economics
2018 Building Recommender Systems with Machine Learning and AI: Help People Discover New Products and Content with Deep Learning, Neural Networks, and Machine Learning Recommendations
2018 Python Machine Learning: A Guide For Beginners (2nd Edition)
2018 Hands-On Machine Learning for Cybersecurity: Safeguard your system by making your machines intelligent using the Python ecosystem
2018 An Introduction to Machine Learning Interpretability
2018 MASTERING MACHINE LEARNING ALGORITHMS
2018 Machine Learning: a Concise Introduction
2018 Machine learning for OpenCV : advanced methods and deep learning
2018 Machine Learning in Python: Essential Techniques for Predictive Analysis
2018 Machine learning with Python cookbook : practical solutions from preprocessing to deep learning
2018 Hands-on Machine Learning for Cyber Security
2018 Advanced Machine Learning with Python
2018 Thoughtful Machine Learning with Python
2018 Pragmatic AI: an Introduction to Cloud-Based Machine Learning
2018 Introduction to Machine Learning with Python
2018 Building Machine Learning Systems with Python
2018 Real-World Machine Learning
2018 Applied Machine Learning
2017 Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition
2017 Machine learning: algorithms and applications
2017 Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
2017 Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization
2017 Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning
2017 Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning
2017 Thoughtful Machine Learning with Python A Test-Driven Approach
2017 Thoughtful Machine Learning with Python: A Test-Driven Approach
2017 Thoughtful Machine Learning with Python: A Test-Driven Approach
2017 Thoughtful Machine Learning with Python: A Test-Driven Approach
2017 Machine Learning Using R
2017 Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2016
2017 A first course in machine learning
2017 Scala:Applied Machine Learning
2017 Scala:Applied Machine Learning
2017 Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
2017 Reverse Hypothesis Machine Learning
2017 State-Space Approaches for Modelling and Control in Financial Engineering: Systems Theory and Machine Learning Methods
2017 Encyclopedia of Machine Learning and Data Mining
2017 Practical machine learning cookbook
2017 Machine Learning and Intelligent Communications: First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers
2017 Demystifying big data and machine learning for healthcare
2017 Hands-on Machine Learning with Scikit-Learn and TensorFlow
2017 Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
2017 Practical Guide to Cluster Analysis in R. Unsupervised Machine Learning
2017 Practical Guide to Cluster Analysis in R. Unsupervised Machine Learning
2017 Machine Learning made easy with R
2017 Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
2017 TensorFlow Machine Learning Cookbook
2017 Lifelong Machine Learning
2017 Mastering Machine Learning with Python in six Steps
2017 Data Mining. Practical Machine Learning Tools and Techniques
2017 MatLab Deep Learning with Machine Learning, Neural Networks and Artificial Intelligence
2017 MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
2017 Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
2017 State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods
2017 Reverse Hypothesis Machine Learning : A Practitioner's Perspective
2017 Cyber Security Cryptography and Machine Learning: First International Conference, CSCML 2017, Beer-Sheva, Israel, June 29-30, 2017, Proceedings
2017 Facial Kinship Verification: A Machine Learning Approach
2017 Machine Learning Made Easy with R. An Intuitive Step by Step Blueprint for Beginners
2017 Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
2017 Machine Learning. Algorithms and Applications
2017 Augmented Cognition. Neurocognition and Machine Learning: 11th International Conference, AC 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I
2017 Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
2017 Ghosts in the Machine: Rethinking Learning Work and Culture in Air Traffic Control
2017 Thoughtful Machine Learning with Python: A Test-Driven Approach
2017 An Introduction to Machine Learning
2017 An Introduction to Machine Learning
2017 Machine Learning and Knowledge Extraction. First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy
2017 Machine Learning Algorithms
2017 Statistical Regression and Classification: From Linear Models to Machine Learning
2017 Practical Machine Learning Cookbook
2017 Mastering Machine Learning with Spark 2.x
2017 Machine Learning for the Quantified Self. On the Art of Learning from Sensory Data
2017 Python Machine Learning
2017 Python Machine Learning
2017 Apache Spark 2.x Machine Learning Cookbook
2017 Machine learning and data mining in pattern recognition : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings
2017 An Introduction to Machine Learning
2017 Machine learning in medical imaging : 8th International Workshop, MLMI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings
2017 Introduction to Machine Learning with Applications in Information Security
2017 MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
2017 Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
2017 Python Machine Learning Case Studies
2017 Machine Learning for Absolute Beginners
2017 Machine Learning and Cognition in Enterprises. Business Intelligence transformed
2017 Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
2017 Machine Learning and Cognition in Enterprises: Business Intelligence Transformed
2017 Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I
2017 Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II
2017 Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Second International Workshop, FETLT 2016, Seville, Spain, November 30 –December 2, 2016, Revised Selected Papers
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2017 Machine Learning with R
2017 Machine Learning for OpenCV: Intelligent image processing with Python
2017 Thoughtful Machine Learning with Python: A Test-Driven Approach
2017 Practical Machine Learning with Python: A Problem-Solver’s Guide to Building Real-World Intelligent Systems
2017 Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
2017 Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark
2017 Statistical Regression and Classification: From Linear Models to Machine Learning
2017 Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making
2017 Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth
2017 Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II
2017 Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I
2017 Learning Microsoft Cognitive Services : leverage machine learning APIs to build smart applications
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2017 Machine Learning with R Cookbook
2017 Machine learning with Go
2017 Machine Learning with R Cookbook
2017 Machine Learning With Go
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2017 Machine Learning With Go
2017 Python Machine Learning Cookbook (Early Release)
2017 Machine Learning for Developers.
2017 Machine Learning for Developers. (Code)
2017 Machine Learning: End-to-End guide for Java developers: Data Analysis, Machine Learning, and Neural Networks simplified
2017 Machine Learning For Beginners: Algorithms, Decision Tree & Random Forest Introduction
2017 Mastering Java Machine Learning
2017 Mastering Java machine learning : mastering and implementing advanced techniques in machine learning
2017 Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow [source code]
2017 Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow
2017 An Introduction to Machine Learning
2017 Encyclopedia of Machine Learning and Data Mining
2017 Advances in Soft Computing and Machine Learning in Image Processing
2017 Statistical regression and classification. From linear models to machine learning
2017 Data Science Algorithms in a Week: Top 7 algorithms for computing, data analysis, and machine learning
2017 Machine Learning with R Cookbook
2017 Machine Learning for Developers (source code)
2017 Machine Learning for Developers
2017 Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III
2017 Machine Learning with R
2017 Machine Learning with Go
2017 R: Unleash Machine Learning Techniques
2017 Python Machine Learning
2017 Python Machine Learning
2017 Encyclopedia of Machine Learning and Data Mining
2017 Scikit-Learn Cookbook: Over 80 Recipes for Machine Learning in Python With Scikit-Learn
2017 Scikit-Learn Cookbook: Over 80 Recipes for Machine Learning in Python With Scikit-Learn
2017 Scikit-Learn Cookbook: Over 80 Recipes for Machine Learning in Python With Scikit-Learn
2017 Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
2017 Mastering Java Machine Learning
2017 Statistical and Machine-Learning Data Mining, Third Edition: Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition
2017 Machine Learning Algorithms
2017 Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing
2017 Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning
2017 Mastering Apache Spark 2.x Scale your machine learning and deep learning systems with SparkML, DeepLearning4j and H2O
2017 Practical Machine Learning with Python: A Problem-Solver’s Guide to Building Real-World Intelligent Systems
2017 Hands-On Data Science and Python Machine Learning
2017 Mastering Machine Learning with scikit-learn: Apply effective learning algorithms to real-world problems using scikit-learn
2017 scikit-learn Cookbook: Over 80 recipes for machine learning in Python with scikit-learn
2017 Machine Learning for OpenCV: Intelligent image processing with Python
2017 Python Machine Learning by Example
2017 Effective Amazon Machine Learning
2017 Mastering Machine Learning with Spark 2.x: Harness the potential of machine learning, through spark
2017 Python Machine Learning By Example: The Easiest Way to Get into Machine Learning
2017 Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
2017 Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
2017 Machine Learning Systems: Designs That Scale
2017 Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning
2017 Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning
2017 Statistical and machine-learning data mining: techniques for better predictive modeling
2017 Cloud Computing for Machine Learning and Cognitive Applications
2017 Demystifying Big Data and Machine Learning for Healthcare
2017 Machine Learning for Absolute Beginners
2017 MATLAB Machine Learning
2017 Hands-On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems
2017 Encyclopedia of Machine Learning and Data Mining
2017 Hands-On Machine Learning with Scikit-Learn and TensorFlow
2017 Thoughtful Machine Learning in Python
2017 Machine Learning For Absolute Beginners: A Plain English Introduction
2017 Machine Learning with Spark
2016 Introduction to Machine Learning with Python: A Guide for Data Scientists
2016 Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning
2016 Machine Learning in Complex Networks
2016 Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
2016 Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015
2016 Data Mining and Machine Learning in Building Energy Analysis: Towards High Performance Computing
2016 Designing Machine Learning Systems with Python
2016 Designing Machine Learning Systems with Python
2016 Designing Machine Learning Systems with Python
2016 From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
2016 Introduction to Statistical Machine Learning
2016 Medical image recognition, segmentation and parsing : machine learning and multiple object approaches
2016 Machine Learning For Dummies
2016 Designing Machine Learning Systems with Python: Design efficient machine learning systems that give you more accurate results
2016 F# for Machine Learning Essentials: Get up and running with machine learning with F# in a fun and functional way
2016 Introduction to Machine Learning with Python: A Guide for Data Scientists
2016 Learning Proxmox VE: Unleash the power of Proxmox VE by setting up a dedicated virtual environment to serve both containers and virtual machines
2016 Introducing Data Science: Big Data, Machine Learning, and more, using Python tools
2016 Introducing Data Science: Big Data, Machine Learning, and more, using Python tools
2016 Natural Language Processing in Python: Master Data Science and Machine Learning for spam detection, sentiment analysis, latent semantic analysis, and article spinning (Machine Learning in Python)
2016 Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
2016 Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis
2016 Python for Probability, Statistics, and Machine Learning
2016 Advances in Machine Learning and Signal Processing: Proceedings of MALSIP 2015
2016 From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
2016 Machine Learning for Evolution Strategies
2016 Machine Learning and Data Mining in Pattern Recognition: 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings
2016 Machine Learning for Microbial Phenotype Prediction
2016 Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow
2016 TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms
2016 TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms
2016 Introduction to Machine Learning with Python: A Guide for Data Scientists
2016 Introduction to Machine Learning with Python: A Guide for Data Scientists
2016 Real-World Machine Learning
2016 Real-World Machine Learning
2016 From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
2016 Introduction to Machine Learning with Python: A Guide for Data Scientists
2016 Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
2016 How Machines Learn: An Illustrated Guide to Machine Learning
2016 Genetic Algorithms Demystified: Unravel the Myths and Power of Genetic Algorithms in Machine Learning
2016 Machine Learning and Medical Imaging
2016 Python Real World Machine Learning
2016 Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks
2016 Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I
2016 Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II
2016 Machine Learning and Interpretation in Neuroimaging: 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers
2016 Availability, Reliability, and Security in Information Systems: IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - S
2016 Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I
2016 Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III
2016 Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II
2016 Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings
2016 Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python)
2016 Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python)
2016 Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano
2016 Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano
2016 Data Mining: Practical Machine Learning Tools and Techniques
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2016 Large Scale Machine Learning with Python
2016 Large Scale Machine Learning with Python
2016 Machine Learning for Cyber Physical Systems
2016 Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization
2016 R: Recipes for Analysis, Visualization and Machine Learning
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2016 Introducing Data Science: Big Data, Machine Learning and More, Using Python tools
2016 Machine Learning Refined: Foundations, Algorithms, and Applications
2016 Machine Learning Refined: Foundations, Algorithms, and Applications
2016 Machine Learning for Health Informatics: State-of-the-Art and Future Challenges
2016 Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI
2016 Machine Learning, Optimization, and Big Data: Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers
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2016 Machine Learning Refined: Foundations, Algorithms, and Applications
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2016 R Machine Learning by Example
2016 Machine Learning: The New AI
2016 Mastering .NET Machine Learning
2016 Real-World Machine Learning
2016 Building Machine Learning Projects with TensorFlow
2016 Apache Spark Machine Learning Blueprints
2016 Machine Learning in Java
2016 R: Recipes for Analysis Visualization and Machine Learning
2016 Python Machine Learning Cookbook
2016 Machine Learning for Evolution Strategies
2016 Animal Electricity: How We Learned That the Body and Brain Are Electric Machines
2016 How Machines Learn An Illustrated Guide to Machine Learning
2016 Real-World Machine Learning
2016 Machine Learning in Complex Networks
2016 Python for Probability, Statistics, and Machine Learning
2016 Introduction to Machine Learning with Python: A Guide for Data Scientists
2016 Petascale analytics : large-scale machine learning in the earth sciences
2016 Practical machine learning : tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques
2016 Large Scale Machine Learning with Spark
2016 Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners
2016 Machine Learning for the Web
2016 Medical image recognition, segmentation and parsing : machine learning and multiple object approaches
2016 Machine Learning: The New AI
2016 Introduction to Statistical Machine Learning
2016 Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks
2016 From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
2016 Building Machine Learning Projects with TensorFlow
2016 R Machine Learning By Example
2016 A First Course in Machine Learning
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2016 Machine Learning Refined: Foundations, Algorithms, and Applications
2016 Machine Learning in Java
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2016 Python: Python Mastery. "A Code like a Pro" Guide for Python Beginners (Python Programming, Programming For Beginners, Machine Learning, Informatics, Learn ... Fast, Crash Course,(FREE BONUS BOOK))
2016 Python: Python Mastery. "A Code like a Pro" Guide for Python Beginners (Python Programming, Programming For Beginners, Machine Learning, Informatics, Learn ... Fast, Crash Course,(FREE BONUS BOOK))
2016 Practical machine learning : tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques
2016 Advanced Machine Learning with Python
2016 R - Unleash Machine Learning Techniques (A course in three modules)
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2016 Large Scale Machine Learning with Python
2016 Machine Learning for Evolution Strategies
2016 Data Mining: Practical Machine Learning Tools and Techniques
2016 Data Mining: Practical Machine Learning Tools and Techniques
2016 Deep Learning: Adaptive Computation and Machine Learning
2016 Introduction to Machine Learning with Python: A Guide for Data Scientists
2016 Large Scale Machine Learning with Python
2016 Building Machine Learning Projects with TensorFlow
2016 Machine Learning in Complex Networks
2016 Introduction to Machine Learning with Python A Guide for Data Scientists
2016 Python: Real World Machine Learning
2016 Deep learning: adaptive computation and machine learning
2016 Machine Learning Mastery with Python: Understand Your Data, Create Accurate Models and Work Projects End-To-End
2016 Mastering .NET Machine Learning
2016 Introducing Data Science : Big data, machine learning, and more, using Python tools
2016 Python machine learning blueprints : intuitive data projects you can relate to : an approachable guide to applying advanced machine learning methods to everyday problems
2016 Large Scale Machine Learning with Python
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