amitness / learning

A log of things I'm learning

learning

A running log of things I'm learning to build strong core software engineering skills while also expanding breadth of knowledge on adjacent technologies a little bit everyday.

Core Skills

Python Programming

Resource	Progress
Datacamp: Writing Efficient Python Code	✅
Datacamp: Writing Functions in Python	✅
Datacamp: Object-Oriented Programming in Python	✅
Datacamp: Importing Data in Python (Part 1)	✅
Datacamp: Importing Data in Python (Part 2)	✅
Datacamp: Intermediate Python for Data Science	✅
Datacamp: Python Data Science Toolbox (Part 1)	✅
Datacamp: Python Data Science Toolbox (Part 2)	✅
Datacamp: Developing Python Packages	✅
Datacamp: Conda Essentials	✅
Youtube: Tutorial: Sebastian Witowski - Modern Python Developer's Toolkit	✅
Datacamp: Unit Testing for Data Science in Python	✅
Datacamp: Working with Dates and Times in Python	✅
Datacamp: Command Line Automation in Python
Book: Python 201
Book: Writing Idiomatic Python 3
Book: Test Driven Development with Python

Data Structures and Algorithms

Resource	Progress
Book: Grokking Algorithms	✅
Book: The Tech Resume Inside Out	✅
Neetcode: Algorithms and Data Structures for Beginners	✅
Udacity: Intro to Data Structures and Algorithms	✅

Linux & Command Line

Resource	Progress
Datacamp: Introduction to Shell for Data Science	✅
Datacamp: Introduction to Bash Scripting	✅
Datacamp: Data Processing in Shell	✅
MIT: The Missing Semester	✅
Udacity: Linux Command Line Basics	✅
Udacity: Shell Workshop	✅
Udacity: Configuring Linux Web Servers	✅

Version Control

Resource	Progress
Udacity: Version Control with Git	✅
Datacamp: Introduction to Git for Data Science	✅
Udacity: GitHub & Collaboration	✅
Udacity: How to Use Git and GitHub	✅

Databases

Resource	Progress
Udacity: Intro to relational database	✅
Udacity: Database Systems Concepts & Design
Datacamp: Database Design
Datacamp: Introduction to Databases in Python
Datacamp: Intro to SQL for Data Science	✅
Datacamp: Intermediate SQL
Datacamp: Joining Data in PostgreSQL
Udacity: SQL for Data Analysis
Datacamp: Exploratory Data Analysis in SQL
Datacamp: Applying SQL to Real-World Problems
Datacamp: Analyzing Business Data in SQL
Datacamp: Reporting in SQL
Datacamp: Data-Driven Decision Making in SQL

Backend and System Design

Resource	Progress
Book: Designing Machine Learning Systems	✅
Neetcode: System Design for Beginners	✅
Neetcode: System Design Interview	✅
Udacity: Authentication & Authorization: OAuth
Udacity: HTTP & Web Servers
Udacity: Client-Server Communication
Udacity: Designing RESTful APIs
Udacity: Networking for Web Developers
Datacamp: Customer Analytics & A/B Testing in Python
Udacity: A/B Testing

Maths

Resource	Progress
Datacamp: Foundations of Probability in Python	✅
Datacamp: Introduction to Statistics	✅
Datacamp: Introduction to Statistics in Python	✅
Datacamp: Hypothesis Testing in Python	✅
Datacamp: Statistical Thinking in Python (Part 1)	✅
Datacamp: Statistical Thinking in Python (Part 2)	✅
Datacamp: Experimental Design in Python	✅
edX: Essential Statistics for Data Analysis using Excel	✅
Udacity: Intro to Inferential Statistics	✅
MIT 18.06 Linear Algebra, Spring 2005	✅
Udacity: Eigenvectors and Eigenvalues	✅
Udacity: Linear Algebra Refresher
Youtube: Essence of linear algebra

Domains

Machine Learning

Resource	Progress
Article: An overview of gradient descent optimization algorithms	✅
Book: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Book: A Machine Learning Primer	✅
Book: Make Your Own Neural Network	✅
Book: Grokking Machine Learning	✅
Book: The StatQuest Illustrated Guide To Machine Learning	✅
Fast.ai: Practical Deep Learning for Coder (Part 1)	✅
Fast.ai: Practical Deep Learning for Coder (Part 2)
Datacamp: Ensemble Methods in Python	✅
Datacamp: Extreme Gradient Boosting with XGBoost
Datacamp: Clustering Methods with SciPy	✅
Datacamp: Unsupervised Learning in Python	✅
Udacity: Segmentation and Clustering	✅
Datacamp: Intro to Python for Data Science	✅
edX: Implementing Predictive Analytics with Spark in Azure HDInsight	✅
Datacamp: Supervised Learning with scikit-learn	✅
Datacamp: Machine Learning with Tree-Based Models in Python	✅
Datacamp: Linear Classifiers in Python	✅
Datacamp: Convolutional Neural Networks for Image Processing	✅
Datacamp: MLOps Concepts	✅
Datacamp: Machine Learning Monitoring Concepts	✅
Datacamp: Model Validation in Python	✅
Datacamp: Hyperparameter Tuning in Python	✅
Datacamp: HR Analytics in Python: Predicting Employee Churn	✅
Datacamp: Predicting Customer Churn in Python	✅
Datacamp: Dimensionality Reduction in Python	✅
Datacamp: Preprocessing for Machine Learning in Python	✅
Datacamp: Data Types for Data Science	✅
Datacamp: Cleaning Data in Python	✅
Datacamp: Feature Engineering for Machine Learning in Python	✅
Datacamp: Predicting CTR with Machine Learning in Python	✅
Datacamp: Intro to Financial Concepts using Python	✅
Datacamp: Fraud Detection in Python	✅
Karpathy: Neural Networks: Zero to Hero	✅

Natural Language Processing

Resource	Progress
Book: Natural Language Processing with Transformers	✅
Stanford CS224U: Natural Language Understanding | Spring 2019	✅
Stanford CS224N: Stanford CS224N: NLP with Deep Learning | Winter 2019	✅
CMU: Low-resource NLP Bootcamp 2020	✅
CMU Multilingual NLP 2020	✅
Datacamp: Feature Engineering for NLP in Python	✅
Datacamp: Natural Language Processing Fundamentals in Python	✅
Datacamp: Regular Expressions in Python	✅
Datacamp: RNN for Language Modeling	✅
Datacamp: Natural Language Generation in Python	✅
Datacamp: Building Chatbots in Python	✅
Datacamp: Sentiment Analysis in Python	✅
Datacamp: Machine Translation in Python	✅

Generative AI

Resource	Progress
Article: OpenAI Prompt Engineering
Article: Your AI Product Needs Evals	✅
Article: Prompting Fundamentals and How to Apply them Effectively	✅
Article: Task-Specific LLM Evals that Do & Don't Work	✅
Article: LLM From the Trenches: 10 Lessons Learned Operationalizing Models at GoDaddy	✅
DeepLearning.AI: Building and Evaluating Advanced RAG Applications	✅
DeepLearning.AI: Efficiently Serving LLMs	✅
DeepLearning.AI: Finetuning Large Language Models	✅
DeepLearning.AI: Vector Databases: from Embeddings to Applications	✅
DeepLearning.AI: Reinforcement Learning from Human Feedback	✅
DeepLearning.AI: Advanced Retrieval for AI with Chroma	✅
DeepLearning.AI: Automated Testing for LLMOps	✅
DeepLearning.AI: Red Teaming LLM Applications	✅
LLMOps: Building with LLMs
LLM Bootcamp - Spring 2023	✅
Large Language Models with Semantic Search [1hr]	✅
Karpathy: Intro to Large Language Models [1hr]	✅
Karpathy: Let's build the GPT Tokenizer [2hr13m]
Youtube: A Hackers' Guide to Language Models [1hr30m]	✅
Youtube: A Survey of Techniques for Maximizing LLM Performance	✅
Youtube: Prompt Engineering Overview [1hr4m]	✅
Youtube: Building Blocks for LLM Systems & Products: Eugene Yan	✅

Technical Skills (Libraries/Frameworks/Tools)

AWS

Resource	Progress
Udemy: AWS Certified Developer - Associate 2018	✅

CSS

Resource	Progress
Pluralsight: CSS Positioning	✅
Pluralsight: Introduction to CSS	✅
Pluralsight: CSS: Specificity, the Box Model, and Best Practices	✅
Pluralsight: CSS: Using Flexbox for Layout	✅
Code School: Blasting Off with Bootstrap	✅
Pluralsight: UX Fundamentals	✅
Codecademy: Learn SASS	✅
Book: Refactoring UI

HTML

Resource	Progress
Codecademy: Learn HTML	✅
Codecademy: Make a website	✅

JavaScript

Resource	Progress
Udacity: ES6 - JavaScript Improved	✅
Udacity: Intro to Javascript	✅
Udacity: Object Oriented JS 1	✅
Udacity: Object Oriented JS 2	✅
Udemy: Understanding Typescript	✅
Codecademy: Learn JavaScript	✅
Codecademy: Jquery Track	✅
Pluralsight: Using The Chrome Developer Tools	✅

Matplotlib

Resource	Progress
Datacamp: Introduction to Seaborn	✅
Datacamp: Introduction to Matplotlib	✅

MLFlow

Resource	Progress
Datacamp: Introduction to MLFlow	✅

Pandas

Resource	Progress
Datacamp: Pandas Foundations	✅
Datacamp: Pandas Joins for Spreadsheet Users	✅
Datacamp: Manipulating DataFrames with pandas	✅
Datacamp: Merging DataFrames with pandas	✅
Datacamp: Data Manipulation with pandas	✅
Datacamp: Optimizing Python Code with pandas	✅
Datacamp: Streamlined Data Ingestion with pandas	✅
Datacamp: Analyzing Marketing Campaigns with pandas	✅
Datacamp: Analyzing Police Activity with pandas	✅

PyTorch

Resource	Progress
Article: PyTorch internals
Datacamp: Introduction to Deep Learning with PyTorch	✅
Deeplizard: Neural Network Programming - Deep Learning with PyTorch	✅

ReactJS

Resource	Progress
Codecademy: Learn ReactJS: Part I	✅
Codecademy: Learn ReactJS: Part II	✅

Spacy

Resource	Progress
Datacamp: Advanced NLP with spaCy	✅

Tensorflow & Keras

Resource	Progress
Datacamp: Introduction to TensorFlow in Python	✅
Datacamp: Deep Learning in Python	✅
Datacamp: Introduction to Deep Learning with Keras	✅
Datacamp: Advanced Deep Learning with Keras	✅
Deeplizard: Keras - Python Deep Learning Neural Network API	✅
Udacity: Intro to TensorFlow for Deep Learning	✅