Books
Books that I am reading, have read, or plan to read.
What an astonishing thing a book is. It’s a flat object made from a tree with flexible parts on which are imprinted lots of funny dark squiggles. But one glance at it and you’re inside the mind of another person, maybe somebody dead for thousands of years. Across the millennia, an author is speaking clearly and silently inside your head, directly to you. Writing is perhaps the greatest of human inventions, binding together people who never knew each other, citizens of distant epochs. Books break the shackles of time. A book is proof that humans are capable of working magic.
– Carl Sagan, Cosmos, Part 11: The Persistence of Memory (1980)
Online Books
Books I’ve Read
- Learn python the hard way
- Think Python
- Learning Python
- JavaScript: The Good Parts
- Maintainable JavaScript
- The Elements of Style
- Python for Data Analysis (Read online)
- Programming Python
- Doing Data Science
- Data Science from Scratch
- Data Science for Business
- Machine Learning in Action
- Hands-On Machine Learning with Scikit-Learn and TensorFlow
- Deep Learning with Python
- Python Data Science Handbook (Read online)
- R for Data Science (Read online (1st edition), Read online (2nd edition))
- R in a Nutshell
- Graph Analysis and Visualization
- Python for Finance
- Interpretable Machine Learning (Read online)
- Fluent Python
- Fundamentals of Data Visualization (Read online)
- Machine Learning Q and AI
Books I’m Currently Reading
- The Elements of Statistical Learning
- 15-Minute Spanish
- Modern Statistics for Modern Biology (Read online)
- Data Visualization with R
- Bayesian Modeling and Computation in Python (Read online)
- Statistical Rethinking (Online Course)
- Natural Language Processing with Transformers (Online Notebook)
- Machine Learning with PyTorch and Scikit-Learn (Online Notebook)
- Programming Rust (Online Code)
- Modeling Mindsets
- Rust Atomics and Locks (Read online) (Online Code)
- Designing Machine Learning Systems
- Generative Deep Learning (Online code)
- Developing Apps with GPT-4 and ChatGPT
- Machine Learning for High-Risk Applications: Approaches to Responsible AI(Online Code)
- Causal Inference and Discovery in Python(Online Code)
- Introduction To Conformal Prediction With Python
- Build a Large Language Model (Read online, Online code)
- Tidy Finance with Python (Read online, Online code)
- Hands-On Large Language Models (Read online)
- AI Engineering (Read online)
- Effective Rust (Read online)