25+ Free Artificial Intelligence, Machine Learning, Data Science & Python eBooks

Free Artificial Intelligence, Machine Learning, Deep Learning And Data Science E-Books

Hey all, Welcome to Insane. Today, We will list out some of the best AI, ML, Deep Learning, Python, & free Data Science books PDF available on the internet. If you find this post useful, please share it with your friends as well as with others.

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1. Understanding Machine Learning: From Theory to Algorithms PDF

Understanding Machine Learning: From Theory to Algorithms pdf Ebook

Book by Shai Ben-David and Shai Shalev-Shwartz

Aim of this Textbook: To provide Introduction to ML & Algorithmic paradigms


2. Bayesian Reasoning and Machine Learning PDF

Bayesian Reasoning and Machine Learning pdf Ebook

Book by David Barber

Who this book is for: Final Year Undergraduates & Masters Students


3. Neural Networks and Deep Learning PDF

Neural Networks and Deep Learning pdf Ebook

Book by Michael Nielsen

What you will Learn: You'll learn the  concepts behind neural networks and deep learning.


4. Artificial Intelligence: A Modern Approach PDF

Artificial Intelligence: A Modern Approach pdf Ebook

Book by Stuart Russell

What this Book Provides: Introduction to the theory and practice of artificial intelligence


5. Gaussian Processes for Machine Learning PDF

Gaussian Processes for Machine Learning pdf Ebook

Book by C. E. Rasmussen & C. K. I. Williams

What this Book Provides: A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.


6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction PDF

The Elements of Statistical Learning: Data Mining, Inference, and Prediction pdf Ebook

Book by Trevor Hastie, Robert Tibshirani, & Jerome Friedman

Some of the topics inside this Book: Overview of Supervised Learning, Linear Methods for Regression, Basis Expansions and Regularization, Neural Networks, Support Vector Machines and Flexible Discriminants, Unsupervised Learning, Random Forests, Ensemble Learning, and more


7. Natural Language Processing with Python PDF

Natural Language Processing with Python pdf Ebook

Book by Steven Bird

What this Book offers: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text & email filtering to automatic summarization & translation. With it, you'll study how to write Python programs that work with long collections of unstructured text. 


8. Learn Python the Hard Way PDF

Learn Python the Hard Way pdf Ebook

Book by Zed A. Shaw

What you’ll learn: You'll learn Python by working through 52 brilliantly crafted exercises.


9. Reinforcement Learning: An Introduction PDF

Reinforcement Learning: An Introduction pdf Ebook


Book by Richard S. Sutton & Andrew G. Barto

Focus of this Book: This book focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes.


10. Probabilistic Programming & Bayesian Methods for Hackers PDF

Probabilistic Programming & Bayesian Methods for Hackers pdf ebook

Book by Cam Davidson-Pilon

Book is Designed for: This book is designed as an introduction to Bayesian inference from a computational understanding-first, and mathematics-second, point of view. The book assumes no awareness of Bayesian inference neither probabilistic programming.


11. Algorithms for Reinforcement Learning PDF

Algorithms for Reinforcement Learning pdf ebook

Book by Csaba Szepesvari

What this Book Covers: This book gives a very quick but still thorough introduction to reinforcement learning, and includes algorithms for quite a few methods. 


12. Information Theory, Inference, and Learning Algorithms PDF

Information Theory, Inference, and Learning Algorithms pdf ebook

Book by David J.C. MacKay

Little bit about this Book: Essential reading for students of electrical engineering and computer science; also a great heads-up for mathematics students concerning the subtlety of many commonsense questions." 


13. Computer Vision PDF

Computer vision pdf ebook

Book by Richard Szeliski

Download Link: Computer Vision Ebook

14. Programming Computer Vision with Python PDF

Programming Computer Vision with Python pdf ebook

Book by Jan Erik Solem


15. Data Mining: Practical Machine Learning Tools and Techniques PDF

Data Mining: Practical Machine Learning Tools and Techniques pdf ebook

Book by Ian H. Witten & Eibe Frank


16. Mining of Massive Datasets PDF

Mining of Massive Datasets pdf ebook

Book by Jure Leskovec, Anand Rajaraman, & Jeff Ullman

Focus of this Book: This book focuses on practical algorithms used to solve key problems in data mining, with problems suitable for students from the intermediate level students and beyond.


17. An Introduction to Data Science PDF

An Introduction to Data Science pdf ebook

Book by Jeffrey Stanton

Book Description: This book is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science


18. Data-Intensive Text Processing with MapReduce PDF

Data-Intensive Text Processing with MapReduce pdf ebook

Book by Jimmy Lin & Chris Dyer

Focus of this Book: This book focuses on MapReduce algorithm design, with an accent on text processing algorithms common in NLP, information retrieval, & machine learning.  


19. The Data Science Handbook PDF

The Data Science Handbook pdf ebook

Book by by Carl Shan,‎ William Chen,‎ Henry Wang,‎ Max Song

What's Inside this Book: The Data Science Handbook is a compilation of in-depth interviews with 25 professional data scientists, where they share their knowledge, stories, & advice.


20. The Art of Data Science PDF

The Art of Data Science pdf ebook

Book by Roger D. Peng & Elizabeth Matsui

Book Description: This book describes, simply and in general terms, the process of analyzing data.


21. Invent Computer Games with Python PDF

Invent Computer Games with Python pdf ebook

Book by Al Sweigart

What you'll Learn: Each chapter gives you the complete source code for a new game and teaches the programming concepts from these examples.


22. Learn Python, Break Python PDF

Learn Python, Break Python pdf ebook

Book by Scott Grant


23. Think Stats: Exploratory Data Analysis in Python PDF

Think Stats: Exploratory Data Analysis in Python pdf ebook

Book by Allen B. Downey


24. An Introduction to Statistical Learning with Applications in R PDF

An Introduction to Statistical Learning with Applications in R pdf ebook

Book by Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani

Some of the topics inside this Book: T0opics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, and much more.


25. The R Inferno PDF

The R Inferno pdf ebook

Book by Patrick Burns

What this Book is About: A book about trouble spots, oddities, traps, glitches in R

Download Link: The R Inferno Ebook

26. Automate the Boring Stuff with Python: Practical Programming for Total Beginners PDF

Automate the Boring Stuff with Python: Practical Programming for Total Beginners pdf ebook

Book by Al Sweigart

What you'll Learn: You'll learn how to use Python to write programs that do in minutes what would take your ampere-hours to create by hand with no prior programming experience needed.


27. R Programming for Data Science PDF

R Programming for Data Science pdf ebook

Book by Roger D. Peng

About this Book: This book is about the fundamentals of R programming. You will get incited with the basics of the R programming language, learn how to write functions, how to manipulate datasets, & how to debug and optimize code.


28. Python Cookbook PDF

Python Cookbook pdf ebook

Book by David Beazley & Brian K. Jones

Who this Book is for: For experienced Python developers.

Download Link: Python Cookbook Ebook

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