mltraore / ai-related-resources

Selection of AI / ML / DS / DL / NLP / RL and ROS related resources.

AI related Resources

This repository contains resources related to artificial intelligence (AI), machine learning (ML),
Data Science (DS), deep learning (DL), natural language processing (NLP), reinforcement learning (RL),
and robot operating system (ROS). It also contains programming and math resources based on these
different topics as well as a list of tools to visualize data and machine learning model architectures.

Mathematics

♾️

Linear Algebra ✖️

Resource	Relevance
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning	Data Analysis Signal Processing Machine Learning
Mathematics For Machine Learning Specialization: Linear Algebra 🎥	Machine Learning Deep Learning
MIT Gilbert Strang 2005 Linear Algebra 🎥	Machine Learning Deep Learning Computer Vision
Linear Algebra 4th Edition by Friedberg 📘	Machine Learning Deep Learning
Introduction to Applied Linear Algebra 📘	Artificial Intelligence Machine Learning Deep Learning
Introduction to Applied Linear Algebra 📘	Artificial Intelligence Machine Learning Deep Learning
Matrix Methods for Linear Algebra for Gilber Strang 🎥	Deep Learning
Matrix Methods for Linear Algebra for Gilber Strang 🎥	Deep Learning
James Hamblin Awesome Lecture Series 🎥	Deep Learning

Probability

Resource	Relevance
Joe Blitzstein Harvard Probability and Statistics Course 🎥	Machine Learning Deep Learning Natural Language Processing
MIT Probability Course 2011 Lecture videos 🎥	Machine Learning Natural Language Processing
MIT Probability Course 2018 short videos 🎥	Machine Learning Deep Learning Natural Language Processing
Probalistic Graphical Models CMU Advanced 🎥	Machine Learning Deep Learning Natural Language Processing
Probalistic Graphical Models Stanford Daphne Advanced 🎥	Machine Learning Deep Learning Natural Language Processing
A First Course In Probability Book by Ross 📘	Machine Learning
Joe Blitzstein Harvard Professor Probability Awesome Book 📘	Machine Learning

Calculus 📐

Resource	Relevance
Strang's Overview of Calculus 🎥	Deep Learning
Essence of Calculus by 3Blue1Brown 🎥	Deep Learning
Princeton University Multivariable Calculus 2013 🎥	Deep Learning
Mathematics for Machine Learning Book: Chapter 5 📘	Machine Learning Deep Learning
Calculus Book by Stewart 📘	Machine Learning Deep Learning

Artificial Intelligence

🤖

Resource	Type
Stanford University: AI	Web site 🌎
Stanford University: AI	Videos Series 🎥
Elements of AI	Web site 🌎
AI For Everyone by NG	Videos Series 🎥
MIT's Artificial Intelligence Class	Videos Series 🎥
CS188 Intro to AI from UC Berkeley	Web site 🌎
CS405: Artificial Intelligence from Saylor Academy	Web site 🌎
Intro to Artificial Intelligence at Udacity	Web site 🌎
Probabilistic Artificial Intelligence	Web site 🌎
Artificial Intelligence for Robotics	Web site 🌎
Set of animated AI cheatsheets covering the content of Stanford's CS 221 class	Web site 🌎

Machine Learning

⚙️

Resource	Type
Google's ML crash course using TensorFlow	Web site 🌎 Exercises 📚
Machine learning by Andrew-NG	Videos Series 🎥
Machine learning by Andrew-NG	Cheat Sheet 📖
Caltech's Machine Learning Course	Videos Series 🎥
Caltech's Machine Learning Course	Web site 🌎
Data Science & Machine Learning	Web site 🌎
Introduction to Machine Learning for Coders	Web site 🌎
Rules of Machine Learning	Web site 🌎
Advanced Machine Learning (AML)	Web site 🌎
Advanced Machine Learning	Web site 🌎
James McCaffrey's Data Science Lab	Web site 🌎
Big Data: Statistical Inference and Machine Learning	Web site 🌎
Data Mining: University at Buffalo	Web site 🌎
Bayesian Data Analysis course	Web site 🌎
Introduction to Machine Learning Course: Buffalo University	Web site 🌎
Machine Learning: University of Oxford 2015	Web site 🌎
Machine Learning for Health Care (MLHC)	Web site 🌎
Machine Learning From Scratch	Github 🌎
Introduction to Machine Learning	Github 🌎
Machine Learning for Data Science and Analytics	edX Course 🌎
Machine learning library built in Javacsript (on top of tensorflow.js)	Web site 🌎
Understanding Machine Learning: From Theory to Algorithms	Book 📘
Undergraduate Machine Learning Course University of British Columbia 2013	Videos Series 🎥
AI & Machine Learning by Alexander Ihler	Videos Series 🎥
Harvard's Data Science Course	Notes 📚 Videos Series 🎥
An Introduction to Statistical Learning	Web site 🌎 Book 📘
Elements of Statistical Learning	Web site 🌎 Book 📘
Python Data Science Handbook	Web site 🌎 Book 📘
Foundations of Machine Learning	Web site 🌎 Book 📘

Deep Learning

🧠

Resource	Type
Andrew NG Notes Collection	Notes 📓 Videos Series 🎥
Stanford's CS230 Deep learning lecture videos and more	Web site 🌎
Illustrated Deep Learning cheatsheets covering Stanford's CS 230 class	Web site 🌎
EE-559 – DEEP LEARNING (SPRING 2018)	Web site 🌎
Deep Learning in Computer Vision	Web site 🌎
Deep Learning in Production Course	Web site 🌎
Deep Learning Türkiye	Web site 🌎
Deep Learning Book by Ian Goodfellow	Book 📘
Deep Learning with Python	Book 📘
A. Zhang, Z. C. Lipton, M. Li, and A. J. Smola, Dive Into Deep Learning, 2020	Book 📘
Stanford: Hardware Accelerators for Training Deep Neural Networks	Book 📘
Fast.ai Deep Learning From Foundations	Videos Series 🎥
Practical Deep Learning for Coders	Videos Series 🎥
FAU Deep Learning 2020 Series	Videos Series 🎥
Hugo Larochelle Deep Learning	Videos Series 🎥
Deep Learning UC Berkley 2020 Course	Videos Series 🎥
CS231n: Convolutional Neural Networks for Visual Recognition	Videos Series 🎥
CS231n: Convolutional Neural Networks for Visual Recognition	Notes 📓
Deep Learning for Audio (DLA)	Notes 📓
MIT-6.S094 Deep Learning for Self Driving Cars	Github 🌎
Deep Learning: University at Buffalo	Videos Series 🎥 Slides 📖
Advanced Deep Learning for Computer vision (ADL4CV) (IN2364)	Videos Series 🎥 Slides 📖
Deep Learning for Computer Vision	Videos Series 🎥 Slides 📖

Computer Vision

👁️‍🗨️

Resource	Type
Computer Vision: Algorithms and Applications, 2nd ed.	Book 📘
Introduction to Computer Vision	Web site 🌎
CSCI 497P/597P - Introduction to Computer Vision	Web site 🌎
Introduction to Computer Vision	Web site 🌎
EECS 504: Foundations of Computer Vision	Web site 🌎
EECS 442: Computer Vision (Fall 2019)	Web site 🌎
CS194-26/294-26: Intro to Computer Vision and Computational Photography	Web site 🌎
15-463, 15-663, 15-862 Computational Photography, Fall 2021	Web site 🌎
16-385 Computer Vision, Spring-2020	Web site 🌎

Natural Language Processing

🔠

Resource	Type
CS224n: Natural Language Processing with Deep Learning	Book 📘
CS224n: Natural Language Processing with Deep Learning	Videos Series 🎥
Natural Language Processing: Stanford University	Videos Series 🎥
Fast.ai Intro to NLP	Videos Series 🎥
CMU CS 11-747 Deep Learning for NLP	Web site 🌎
Journey of 66DaysofData in Natural Language Processing	Github 🌎
Natural Language Understanding (NLU)	Web site 🌎
Awesome NLP Research (ANLP)	Github 🌎
NLP - Natural Language Processing with Python	Udemy Course 🌎

Reinforcement Learning

🔄

Resource	Type
CS234: Reinforcement Learning Winter 2021	Web site 🌎
CS 285 at UC Berkeley: Deep Reinforcement Learning	Web site 🌎
Introduction to Reinforcement Learning	Book 📘
Stanford 2018 cs234 Reinforcement Learning	Videos Series 🎥
Stanford 2019 cs330 Meta Learning advanced course	Videos Series 🎥
David Silver Deep Mind Introductory Lectures	Videos Series 🎥
Sergie Levine 2018 UC Berkley Lecture Videos	Videos Series 🎥
Sergie Levine 2020 Deep Reinforcement Learning	Videos Series 🎥
Waterloo cs885 Reinforcement Learing	Videos Series 🎥
Reinforcement Learning Course Materials	Github 🌎
Deep Reinforcement Learning Course	Github 🌎

Programming Resources

👨‍💻

Resource	Type
Python	W3 Schools 🌎
Real Python: All Python Tutorial Topics	Official Web site 🌎
TensorFlow guide	Official Web site 🌎
Keras Developer guides	Official Web site 🌎
Pytorch Tutorials	Official Web site 🌎
Caffe	Web site 🌎
Scikit Learn User Guide	Web site 🌎
Natural Language Toolkit (NLTK)	Official Web site 🌎
Simple AI Tool	Github 🌎
Data Science & Machine Learning	Web site 🌎
NumPy user guide	Official Web site 🌎
Pandas User Guide	Official Web site 🌎
Scipy Lecture Notes	Web site 🌎

Data visualization

📊

Resource	Type
Matplotlib: User Guide	Official Web site 🌎
Seaborn: User guide and tutorial	Official Web site 🌎
Tensorboad user guide	Official Web site 🌎
Word Cloud API Reference	Official Web site 🌎
Keras Visualization	Official Web site 🌎
Graphviz	Official Web site 🌎
GraphCore	Official Web site 🌎
visualkeras for Keras / TensorFlow	Github 🌎
PlotNeuralNet	Github 🌎
Caffe	Github 🌎
Netron	Github 🌎
DotNets	Github 🌎
ENNUI	Official Web site 🌎
Tensorflow Playground	Official Web site 🌎

ROS

🚗🦾

Resource	Type
ROS Wiki: ROS Tutorials	Web site 🌎
Awesome Robot Operating System 2 (ROS 2)	Web site 🌎
The construct: ROS Developers' Course Library	Web site 🌎
Ali ÖZCAN: Sıfırdan Uygulamalı ROS Eğitimi	Udemy Course 🌎
Open Robotics Darknet ROS	Githup 🌎
Programming Multiple Robots with ROS 2	Web site 🌎
Self-Driving Cars with ROS 2 & Autoware	Videos Series 🎥
SVL Simulator	Web site 🌎
Gazebo Tutorials	Web site 🌎
The construct: Gazebo Tutorials	Web site 🌎
EFFECTIVE ROBOTICS PROGRAMMING WITH ROS THIRD EDITION	Book 📘