Resources
Books
- Data Science from Scratch
- The Hundred Pages Machine Learning Book
- Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow
- Deep Learning
- Deep Learning with Python
- AI and Machine Learning for Coders
- Deep Learning from Scratch
- Dive into Deep Learning
- Probabilistic Machine Learning
Courses
- Machine Learning
- Backpropagation explained | Part 1 - The intuition - YouTube
- Deep Learning Specialization
- Tensorflow Developer Professional Certification
- Tensorflow: Advanced Techniques
- Machine Learning in Production
- MIT Deep Learning 6.S191
- DS-GA 1008 Deep Learning
- CS 182: Deep Learning
- CS5785 Applied Machine Learning
- Deep Learning: CS 182 Spring 2021
- NYU Deep Learning SP20
- Deep Learning Crash Course 2021
- CMU Neural Nets for NLP 2021
- Deep Reinforcement Learning: CS 285 Fall 2020 - YouTube
- CS 329S: Machine Learning Systems Design
- Full Stack Deep Learning
- STAT 479: Machine Learning University Wisconsin-Madison
- Made With ML
- Practical Deep Learning for Coders (fast.ai)
- CS 330 Deep Multi-Task and Meta Learning (stanford.edu)
Blog Posts
- MIT Deep Learning Basics: Introduction and Overview with TensorFlow | by Lex Fridman | TensorFlow | Medium
- Transformers from Scratch (e2eml.school)
- E2EML.school
- Machine Learning Glossary
Educational Projects
- Titanic - Machine Learning from Disaster
- House Prices - Advanced Regression Techniques
- Heart Disease UCI
- Digit Recognizer
- Sentiment140 dataset with 1.6 million tweets
- Pima Indians Diabetes Database
- Breast Cancer Classification
- TMDB Box Office Prediction
- Mall Customer Segmentation Data
- Store Item Demand Forecasting Challenge
- Market Basket Optimization
- New York City Taxi Trip Duration
- SMS Spam Collection Dataset
- (MBTI) Myers-Briggs Personality Type Dataset
Tools and Platforms
- Weights & Biases – Developer tools for ML (wandb.ai)
- MLflow - A platform for the machine learning lifecycle | MLflow
- PlotNeuralNet: Latex code for making neural networks diagrams (github.com)