Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep Learning
Steven Bird, Ewan Klein, and Edward Loper, Natural Language Processing with Python
Michael Nielsen, Neural Networks and Deep Learning
Al Sweigart, Automate the Boring Stuff with Python
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani, An Introduction to Statistical Learning (este es con R)
Jake VanderPlas, Python for Data Science Handbook
Andriy Burkov, The Hundred-Page Machine Learning Book
Hal Daumé III, A Course in Machine Learning
Kareem Alkaseer, Intuitive ML and Big Data in C++, Scala, Java, and Python
Python Notes for Professionals Book
Learning Pandas
Andreas Lindholm, Niklas Wahlström, Fredrik Lindsten, and Thomas B. Schön - Machine Learning - A First Course for Engineers and Scientists
Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola - Dive into Deep Learning
Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang, Jennifer Listgarten, Anant Sahai - A Comprehensive Guide to Machine Learning
Mohammed J. Zaki and Wagner Meira Jr. - Data Mining and Analysis
SQL Notes for Professionals
Carl Shan, Henry Wang, William Chen, and Max Song - https://app.gumroad.com/read/c4f464655a ... ydA2QZAA== The Data Science Handbook[/url]
Shai Shalev-Shwartz and Shai Ben-David - Understanding Machine Learning: From Theory to Algorithms
Algorithms Notes for Professionals
David Barber - Bayesian Reasoning and Machine Learning
Steve Nouri - 800+ Q&As about: Stats, Python, ML, DL, NLP, CV, MLOps
An Introduction/A History of Data Science
Alex Smola and S.V.N. Vishwanathan - Introduction to Machine Learning
Christoph Molnar - Interpretable Machine Learning
