- Data Science in Context: Foundations, Challenges, Opportunities | Alfred Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing | Cambridge University Press | 2022
- The Theory and Practice of Enterprise AI | Ilya Katsov | 2022
- 🆕🔥 Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control, 2nd edition | S. L. Brunton and J. N. Kutz | Cambridge University Press | 2022
- Probabilistic Machine Learning: Introduction | Kevin Patrick Murphy | MIT Press | 2022 ⭐⭐⭐⭐⭐
- Probabilistic Machine Learning: Advanced Topics | Kevin Patrick Murphy | MIT Press | 2023 ⭐⭐⭐⭐⭐
- Data Mining and Machine Learning | Mohammed J. Zaki, Wagner Meira, Jr. | Cambridge University Press | 2020 ⭐⭐⭐⭐⭐
- Introduction to Statistical Learning | Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani | Springer ⭐⭐⭐⭐⭐
- Pattern Recognition and Machine Learning | Christopher Bishop | Springer
- Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow 3rd Edition | Aurélien Géron | O'Reilly ⭐⭐⭐⭐⭐
- Machine Learning Design Patterns | Valliappa Lakshmanan, Sara Robinson, Michael Munn | O'Reilly
- Machine Learning - A First Course for Engineers and Scientists | Andreas Lindholm, Niklas Wahlström, Fredrik Lindsten, Thomas B. Schön | Cambridge University Press | 2022
- 🆕🔥 Understanding Deep Learning | Simon J.D. Prince | MIT Press | 2023
- Dive into Deep Learning | Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola | ⭐⭐⭐⭐⭐
- Deep Learning | Ian Goodfellow, Yoshua Bengio, Aaron Courville | MIT Press | ⭐⭐⭐⭐⭐
- Deep Learning for Vision Systems | Mohamed Elgendy | Manning | 2022 |:star::star::star::star::star:
- Speech and Language Processing | Dan Jurafsky, James H. Martin
- Supervised Machine Learning for Text Analysis in R | Emil Hvitfeldt, Julia Silge | CRC Press
- Reinforcement Learning | Richard S. Sutton, Andrew G. Barto | MIT Press | 2022
- Interpretable Machine Learning | Christoph Molnar | 2022
- 🆕🔥 Machine Learning Engineering Open Book | Stas Bekman et al | 2024
- Mathematics for Machine Learning | Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong | Cambridge University Press
- Bayesian Data Analysis | Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, Donald Rubin | CRC Press
- Introduction to Probability | Joseph K. Blitzstein, Jessica Hwang | CRC Press
- 📖 PDF version
- Forecasting: Principles and Practice | Rob J Hyndman, George Athanasopoulos | OTexts
- All of Statistics. A Concise Course in Statistical Inference | ALarry Wasserman | Springer
- 🆕🔥 Analyzing Financial and Economic Data with R | Marcelo S. Perlin | 2023
- R for Data Science | Hadley Wickham, Garett Grolemund | O'Reilly | ⭐⭐⭐⭐⭐
- Python Data Science Handbook 2nd edition | Jake VanderPlas | O'Reilly | ⭐⭐⭐⭐⭐
- Python for Data Analysis, 3rd edition | Wes McKinney | O'Reilly | ⭐⭐⭐⭐⭐
- Practical Data Science | Michael Clark
- Introduction to Data Science] | Rafael A. Irizarry | CRS Press
- Modern Data Science with R, 2nd edition | Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton | CRC Press
- Explanatory Model Analysis | Przemyslaw Biecek, Tomasz Burzykowski | CRC Press
- Tidyverse Skills for Data Science | Carrie Wright, Shannon E. Ellis, Stephanie C. Hicks and Roger D. Peng
- Algorithms for Decision Making| Mykel J. Kochenderfer, Tim A. Wheeler, Kyle H. Wray | MIT Press
- Telling Stories with Data | Rohan Alexander | CRC | 2023
- Fundamentals of Data Visualization | Claus O. Wilke | O'Reilly | ⭐⭐⭐⭐⭐
- BBC Visual and Data Journalism cookbook for R graphics | 2019
- Data Visualization with R | Rob Kabacoff
- ggplot2: Elegant Graphics for Data Analysis, 3rd edition | Hadley Wickham | Springer
- R Graphics Cookbook, 2nd edition | Winston Chang | O'Reilly
- Data Visualization | Kieran Healy | Princeton University Press
- Mastering Shiny | Hadley Wickham | O'Reilly
- Engineering Production-Grade Shiny Apps | Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard | CRC Press
- Outstanding User Interfaces with Shiny | David Granjon | CRC Press
- Interactive web-based data visualization with R, plotly, and shiny] | Carson Sievert | CRC Press
- 🆕🔥 Think Python, 3rd edition | Allen B. Downey | O'Reilly | 2024
- 🆕🔥 Scientific Python Lectures | Gaël Varoquaux, Emmanuelle Gouillart, Olav Vahtras et al | 2023
- Fluent Python, 2nd Edition | Lucian Ramalho | O'Reilly | ⭐⭐⭐⭐⭐
- Python Programming And Numerical Methods | Qingkai Kong, Timmy Siauw, Alexandre Bayen | Elsevier
- Architecture Patterns with Python | Harry Percival, Bob Gregory | O'Reilly | 2020
- Advanced R, 2nd edition | Hadley Wickham | CRC Press | ⭐⭐⭐⭐⭐
- Efficient R programming | Colin Gillespie, Robin Lovelace
- R Packages, 2nd edition | Hadley Wickham | O'Reilly | 2023
- JavaScript: The Definitive Guide, 7th Edition | David Flanagan | O'Reilly | :star::star::star::star::star:
- Understanding ECMAScript 6 | Nicholas C. Zakas
- You Don't Know JS Yet, 2nd Edition | Kyle Simpson
- Structure and Interpretation of Computer Programs (SICP) - JavaScript Edition | Harold Abelson, Gerald Jay Sussman, Martin Henz, Tobias Wrigstad, Samuel Fang | MIT Press ⭐⭐⭐⭐⭐