200 Machine Learning Books – Free Download – Premium Books Collection

Best Machine Learning EBooks Free Download Techhyme Premium Books

Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data. Machine learning is a branch of artificial intelligence that automates the building of systems that learn from data, identify patterns, and make decisions – with minimal human intervention.

A few examples of Machine Learning are: Recommendation applications, Fraud detection, Predictive maintenance, Text analytics and self driving cars.

Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artificial intelligence must involve learning, at some level, if for no other reason than it’s hard to call a system intelligent if it cannot learn.

Machine learning is also fascinating in its own right for the philosophical questions it raises about what it means to learn and succeed at tasks.

Machine learning is also a very broad field, and attempting to cover everything would be a pedagogical disaster. It is also so quickly moving that any book that attempts to cover the latest developments will be outdated before it gets online.

Below is a list of free Machine Learning E-books available for FREE DOWNLOAD curated from different sources. Hope, you will find them useful in preparing for Machine Learning and Artificial Intelligence.

S.No. Book Name Author(s) Pages
1 A Brief Introduction to Machine Learning for Engineers Osvaldo Simeone 206
2 A Course in Machine Learning Hal Daumé 227
3 A First Course in Machine Learning – Volume in Machine Learning and Pattern Recognition Series Simon Rogers,
Mark Girolami
4 A Probabilistic Theory of Pattern Recognition Luc Devroye,
Laszlo Gyorfi,
Gabor Lugosi
5 Advanced Data Analytics Using Python – With Machine Learning, Deep Learning and NLP Examples Sayan Mukhopadhyay 195
6 Advanced Machine Learning with Python John Hearty 278
7 Advances in Financial Machine Learning Marcos Lopez De Prado 393
8 Advances in Machine Learning And Data Analysis Sio-Iong Ao,
Burghard Rieger,
Mahyar Amouzegar
9 AI Based Robot Safe Learning And Control Xuefeng Zhou,
Zhihao Xu,
Shuai Li,
Hongmin Wu,
Taobo Cheng,
Xiaojing Lv
10 An Introduction to Machine Learning Intrepretability Second Edition Patrick Hall,
Navdeep Gill
11 An Introduction to Machine Learning Miroslav Kubat 348
12 An Introduction to Statistical Learning with Applications in R Gareth James,
Daniela Witten,
Trevor Hastie,
Robert Tibshirani
13 Applications of Machine Learning in Wireless Communications Ruisi He,
Zhiguo Ding
14 Applied Deep Learning – A Case-Based Approach to Understanding Deep Neural Networks Umberto Michelucci 425
15 Applied Natural Language Processing with Python Taweh Beysolow 158
16 Applied Text Analysis with Python – Enabling Language-Aware Data Products with Machine Learning Benjamin Bengfort,
Rebecca Bilbro,
Tony Ojeda
17 Artificial Intelligence – A Modern Approach – Third Edition Stuart J. Russell,
Peter Norvig
18 Artificial Intelligence – Foundations of Computational Agents David L. Poole,
Alan K.Mackworth
19 Artificial Intelligence – Third Edition Patrick Henry Winston 640
20 Artificial Intelligence and Machine Learning Fundamentals Zsolt Nagy 712
21 Artificial Neural Networks and Machine Learning – ICANN 2016 Alessandro E.P. Villa,
Paolo Masulli,
Antonio Javier Pons Rivero
22 Artificial Neural Networks and Machine Learning – ICANN 2018 Vera Kurková,
Yannis Manolopoulos,
Barbara Hammer,
Lazaros Iliadis,
Ilias Maglogiannis
23 Automated Machine Learning Frank Hutter,
Lars Kotthoff,
Joaquin Vanschoren
24 Azure Machine Learning Jeff Barnes 240
25 Basics for Linear Algebra for Machine Learning – Discover the Mathematical Language of Data in Python Jason Brownlee 212
26 Bayesian Reasoning and Machine Learning David Barber 739
27 Beginning Apache Spark 2 – With Resilient Distributed Datasets, Spark Sql, Structured Streaming and Spark Machine Learning library Hien Luu 398
28 Beginning Machine Learning in the Browser Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js Nagender Kumar Suryadevara 193
29 Big Data, Artificial Intelligence, Machine Learning and Data Protection 114
30 Big Data, Data Mining, and Machine Learning Jared Dean 289
31 Bioinformatics – The Machine Learning Approach – Second Edition Pierre Baldi,
Soren Brunak
32 Building Chatbots with Python – Using Natural Language Processing and Machine Learning Sumit Raj 205
33 Building Intelligent Systems – A Guide to Machine Learning Engineering Geoff Hulten 346
34 Building Machine Learning Systems with Python Willi Richert,
Luis Pedro Coelho
35 Combinatorial Machine Learning – A Rough Set Approach Mikhail Moshkov,
Beata Zielosko


36 Computer Age Statistical Inference


Bradley Efron,
Trevor Hastie
37 Computer Programming For Beginners Kevin Cooper 506
38 Conformal Prediction for Reliable Machine Learning Vineeth N. Balasubramanian,
Shen-Shyang Ho,
Vladimir Vovk


39 Convolutional Neural Networks in Python The LazyProgrammer 75
40 Cyber Security Cryptography and Machine Learning Shlomi Dolev,
Sachin Lodha
41 Data Mining – Practical Machine Learning Tools and Techniques – 2nd Edition Ian H. Witten,
Eibe Frank
42 Data Mining – Practical Machine Learning Tools and Techniques – 3rd Edition Ian H. Witten,
Eibe Frank,
Mark A. Hall
43 Data Mining and Machine Learning in Cyber security Sumeet Dua,
Xian Du
44 Deep learning – Adaptive Computation and Machine Learning Ian Goodfellow,
Yoshua Bengio,
Aaron Courville
45 Deep Learning for Natural Language Processing Palash Goyal,
Sumit Pandey,
Karan Jain
46 Deep Learning in Python Lazy Programmer 104
47 Deep Learning Interviews SHLOMO KASHANI 401
48 Deep Learning with PyTorch Eli Stevens,
Luca Antiga
49 Deep Thinking – Where Machine Intelligence Ends and Human Creativity Begins. Garry Kasparov 230
50 Designing Machine Learning Systems with Python David Julian 232
51 Efficient Learning Machines – Theories, Concepts, and Applications for Engineers and System Designers Mariette Awad,
Rahul Khanna
52 Ensembles in Machine Learning Applications Oleg Okun,
Giorgio Valentini,
Matteo Re
53 Extreme Learning Machines 2013 – Algorithms and Applications Fuchen Sun,
Kar-Ann Toh,
Manuel Grana Romay,
Kezhi Mao
54 Feature Engineering for Machine Learning – Principles and Techniques for Data Scientists Alice Zheng,
Amanda Casari
55 Financial Signal Processing and Machine Learning Ali N. Akansu,
Sanjeev R. Kulkarni,
Dmitry MalioutovI
56 Foundations of Machine Learning – Second Edition Mehryar Mohri,
Afshin Rostamizadeh,
Ameet Talwalkar
57 Foundations of Machine Learning Mehryar Mohri,
Afshin Rostamizadeh,
Ameet Talwalkar
58 From Curve Fitting to Machine Learning. Achim Zielesny 476
59 Fundamentals of Machine Learning for Predictive Data Analytics John D. Kelleher,
Brian Mac Namee,
Aoife D’Arcy
60 Gaussian Processes for Machine Learning Carl Edward Rasmussen,
Christopher K. I. Williams
61 Genetic Algorithms and Machine Learning for Programmers – Create AI Models and Evolve Solution Frances Buontempo 234
62 Growing Adaptive Machines – Combining Development and Learning in Artificial Neural Networks Taras Kowaliw,
Nicolas Bredeche,
René Doursat
63 Hackers Guide to Machine Learning with Python Venelin Valkov 269
64 Hands-On Machine Learning with Scikit-Learn and TensorFlow – Concepts, Tools, and Techniques TO BUILD INTELLIGENT SYSTEMS Aurélien Géron 564
65 Hands–On Machine Learning with Scikit–Learn and TensorFlow – 2nd Edition Aurélien Géron 510
66 Human and Machine Consciousness David Gamez 236
67 Identifying Product and Process State Drivers in Manufacturing Systems using Supervised Machin Thorsten Wuest 284
68 Introducing Data Science – Big Data, Machine Learning, and more, using Python tools Davy Cielen,
Arno D. B. Meysman,
Mohamed Ali
69 Introduction to Deep Learning Using R – A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R Taweh Beysolow 240
70 Introduction to Machine Learning – Second Edition – Adaptive Computation and Machine Learning Ethem Alpaydın 581
71 Introduction to Machine Learning – Second Edition Ethem Alpaydm 564
72 Introduction To Machine Learning – Yves Kodratoff Yves Kodratoff 302
73 Introduction to Machine Learning with Python Andreas C. Müller,
Sarah Guido
74 Introduction to Machine Learning Ethem Alpaydın 639
75 Introduction to Pattern Recognition and Machine Learning M Narasimha,
Der V Sunshield Devi
76 Introduction to Probability Joseph K. Blitzstein,
Jessica Hwang
77 Keras to KubernetesThe Journey of a Machine Learning Model to Production Dattaraj Jagdish Rao 313
78 Kernel Methods and Machine Learning S. Y. KUNG 603
79 Kernel-Based Data Fusion for Machine Learning – Methods and Applications in Bioinformatics and Text Mining Shi Yu,
Léon-Charles Tranche vent,
Bart De Moor,
Yves Moreau
80 Large Scale Machine Learning with Python Bastiaan Sjardin,
Luca Massaron,
Alberto Boschetti
81 Large Scale Machine Learning with Spark Md. Rezaul Karim,
Md. Mahedi Kaysar
82 Learn Keras for Deep Neural Networks – A Fast-Track Approach to Modern Deep Learning with Python Jojo Moolayil 192
83 Learning And Soft Computing – Support Vector Machines, Neural Networks, And Fuzzy Logic Models Vojislav Kecman 576
84 Learning NumPy Array Ivan Idris 164
85 Learning with Kernels Bernhard Scholkopf,
Alexander J. Smola
86 Linear Algebra Jim Hefferon 525
87 Machine Learning – A Bayesian and Optimization Perspective Sergios Theodoridis 1046
88 Machine Learning – A Probabilistic Perspective Kevin P. Murphy 1098
89 Machine Learning – Algorithms and Applications Mohssen Mohammed,
Muhammad Badruddin Khan,
Eihab Bashier Mohammed Bashier
90 Machine Learning – An Algorithmic Perspective – 2nd Edition Stephen Marsland 452
91 Machine learning – An Algorithmic Perspective Stephen Marsland 408
92 Machine Learning – An Applied Mathematics Introduction Paul Wilmot 246
93 Machine Learning – Hands-On for Developers and Technical Professionals Jason Bell 407
94 Machine Learning – Step By Step Guide To Implement Machine Learning Algorithms with Python Rudolph Russell 103
95 Machine Learning – The Art and Science of Algorithms that Make Sense of Data PETER FLACH 416
96 Machine Learning – The New AI ETHEM ALPAYDIN 225
97 Machine Learning – Tom Mitchell Tom M. Mitchell 421
98 Machine Learning and AI for Healthcare Big Data for Improved Health Outcomes Arjun Panesar 390
99 Machine Learning And Its Applications Georgios Paliouras,
Vangelis Karkaletsis,
Constantine D Spyropoulos
100 Machine Learning and Security – Protecting Systems with Data and Algorithms Clarence Chio,
David Freeman
101 Machine Learning and Systems Engineering Sio-Iong Ao,
Burghard Rieger,
Mahyar A. Amouzegar
102 Machine Learning Applications Using Python – Cases Studies from Healthcare, Retail, and Finance Puneet Mathur 384
103 Machine Learning by Tutorials – Beginning Machine Learning for Apple and iOS Matthijs Hollemans,
Chris LaPollo,
Audrey Tam
104 Machine Learning for Absolute Beginners Oliver Theobald 128
105 Machine Learning for Developers Rodolfo Bonnin 234
106 Machine Learning for Dummies – IBM Judith Hurwitz,
Daniel Kirsch
107 Machine Learning For Dummies John Paul Mueller,
Luca Massaron
108 Machine Learning for FinanceA Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolio Tshepo Chris Nokeri 192
109 Machine Learning for Hackers Drew Conway,
John Myles White
110 Machine Learning for Humans Vishal Maini,
Samer Sabri
111 Machine Learning for the Web Andrea Isoni 298
112 Machine Learning Hands-On for Developers and Technical Professionals Jason Bell 407
113 Machine Learning in Action Peter Harrington 382
114 Machine Learning in Computer Vision N.Sebe,
Ira Cohen,
Ashutosh Garg,
Thomas S. Huang
115 Machine Learning in Java Bostjan Kaluza 258
116 Machine Learning in Medicine – A Complete Overview Ton J. Cleophas,
Aeilko H. Zwinderman
117 Machine Learning in Python – Essential Techniques for Predictive Analysis Michael Bowles 367
118 Machine Learning in VLSI Computer-Aided Design Ibrahim (Abe) M. Elfadel,
Duane S. Boning,
Xin Li
119 Machine Learning Mastery With Python Understand Your Data, Create Accurate Models and Work Projects End-To-End Jason Brownlee 179
120 Machine Learning Models and Algorithms for Big Data Classification – Thinking with Examples for Effective Learning Shan Suthaharan 364
121 Machine Learning Paradigms – Applications in Recommender Systems Aristomenis S. Lampropoulos,
George A. Tsihrintzis
122 Machine Learning Projects for .NET Developer Mathias Brandewinder 390
123 Machine Learning Projects with Python Brian Hogan,
Mark Drake
124 Machine Learning Refined – Foundations, Algorithms, and Applications Jeremy Watt,
Reza Borhani,
Aggelos K. Katsaggelos
125 Machine Learning Using C# Succinctly James McCaffrey 148
126 Machine Learning with Spark Nick Pentreath 338
127 Machine Learning with TensorFlow Nishant Shukla,
Kenneth Fricklas
128 Machine Trading – Deploying Computer Algorithms to Conquer the Markets Ernest P. Chan 267
129 Machines and Mechanisms – Applied Kinematic Analysis David H. Myszka 385
130 Master Machine Learning Algorithms – Discover how they work Jason Brownlee 163
131 Mastering Machine Learning with Python in Six Steps – A Practical Implementation Guide to Predictive Data Analytics Using Python Manohar Swamynathan 374
132 Mastering Scala Machine Learning Alex Kozlov 310
133 Mathematics For Machine Learning Marc Peter Deisenroth,
A. Aldo Faisal,
Cheng Soon Ong
134 MATLAB Deep Learning With Machine Learning, Neural Networks and Artificial Intelligence Phil Kim 162
135 MATLAB Machine Learning Recipes – A Problem-Solution Approach Michael Paluszek,
Stephanie Thomas
136 MATLAB Machine Learning Michael Paluszek,
Stephanie Thomas
137 Microsoft Azure Machine Learning Sumit Mund 212
138 Monetizing Machine Learning Quickly Turn Python ML Ideas Into Web Applications on the Serverlss Cloud Manuel Amunategui,
Mehdi Roopaei
139 Natural Language Annotation for Machine Learning James Pustejovsky,
Amber Stubbs
140 Natural Language Processing Recipes – Unlocking Text Data with Machine Learning and Deep Learning using Python Akshay Kulkarni,
Adarsha Shivananda
141 Neo4j – Graph Algorithms Mark Needham,
Amy E. Hodler
142 Neural Network Design Martin T.Hagan,
Howard B. Demuth,
Mark Hudson Beale,
Orlando De Jesús
143 Neural Network Programming with Java Fábio M. Soares,
Alan M.F. Souza
144 Neural Networks Using C# Succinctly James McCaffrey 128
145 Neural Networks with JavaScript Succinctly James McCaffrey 163
146 Neural Networks DavidKriesel 242
147 Numerical Algorithms – Methods for Computer Vision, Machine Learning, and Graphics Justin Solomon 392
148 Numerical Modelling and Design of Electrical Machines and Devices K. Hameyer,
R. Belmans
149 Optimization for Machine Learning Suvrit Sra,
Sebastian Nowozin,
Stephen J. Wright
150 Pattern Recognition and Machine Learning Christopher M. Bishop 758
151 Patterns, Predictions, and Actions – A Story About Machine Learning Moritz Hardt,
Benjamin Recht
152 Physics Based Deep Learning N. Thuerey,
P. Holl, M. Mueller,
P. Schnell,
F. Trost,
K. Um
153 Planning Algorithms Steven M. LaValle 512
154 Practical Artificial Intelligence – Machine Learning, Bots, and Agent Solutions Using C# Arnaldo Perez Castano 701
155 Practical Guide to Cluster Analysis in R – Unsupervised Machine Learning Alboukadel Kassambara 187
156 Practical Java Machine Learning – Projects with Google Cloud Platform and Amazon Web Services Mark Wickham 410
157 Practical Machine Learning and Image Processing For Facial Recognition, Object Detection, and Pattern Recognition Using Python Himanshu Singh 177
158 Practical Machine Learning with H2O Darren Cook 374
159 Practical Machine Learning with Python Problem-Solver’s Guide to Building Real-World Intelligent Systems Dipanjan Sarkar,
Raghav Bali
160 Practical Machine Learning Sunila Gollapudi 468  

161 Principles and Theory for Data Mining and Machine Learning Bertrand Clarke,
Ernest Fokoue,
Hao Helen Zhang
162 Pro Machine Learning Algorithms A Hands-On Approach to Implementing Algorithms in Python and R V Kishore Ayyadevara 379
163 Probability for Statistics and Machine Learning – Fundamentals and Advanced Topics Anirban DasGupta
164 Python – Deeper Insights into Machine Learning Leverage benefits of machine learning techniques using Python Sebastian Raschka,
David Julian,
John Hearty
165 Python for Probability, Statistics, and Machine Learning Jose Unpingco 288
166 Python Machine Learning – A Step-by-Step Guide Konnor Cluster 90
167 Python Machine Learning – WEI-MENG LEE Wei-Meng Lee 307
168 Python Machine Learning Blueprints Alexander T. Combs 324
169 Python Machine Learning Case Studies – Five Case Studies for the Data Scientist Danish Haroon 216
170 Python Machine Learning Cookbook – Early Release Chris Alban
171 Python Machine Learning Cookbook Prateek Joshi 304
172 Python Machine Learning Sebastian Raschka
173 Quantum Machine Learning – What Quantum Computing Means to Data Mining Peter Wittek 176
174 Recurrent Neural Networks Lazy programmer 139
175 Reinforcement Learning – With Open AI, TensorFlow and Keras Using Python Abhishek Nandy,
Manisha Biswas
176 Scala for Machine Learning – Leverage Scala and Machine Learning to construct and study systems that can learn from data Patrick R. Nicolas 520
177 Cikit-learn Cookbook – Second Edition julian Avila,
Trent Hauck
178 Sewing For Beginners – Quick & Easy Way To Learn How To Sew With 50 Patterns for Beginners Kitty Moore 130
179 Signal Processing and Machine Learning for Brain-Machine Interfaces Toshihisa Tanaka,
Mahnaz Arvaneh
180 Soft Computing and Machine Learning with Python Zoran Gacovski 380
181 Statistical and Machine-Learning Data Mining – Third Edition Bruce Ratner 691
182 Statistical Regression and Classification – From Linear Models to Machine Learning Norman Matloff 532
183 Statistical Reinforcement Learning – Modern Machine Learning Approaches Ralf Herbrich,
Thore Graepel
184 Support Vector Machines Succinctly Alexandre Kowalczyk 114
185 TensorFlow Roadmap Amirsina Torfi 22
186 The AI Ladder Rob Thomas 27
187 The Deep Learning Revolution – Machine Intelligence Meets Human Intelligence Terrence J. Sejnowski 354
188 The Elements of Statistical Learning – Data Mining, Inference, and Prediction, Second Edition Trevor Hastie,
Robert Tibshirani,
Jerome Friedman
189 The Essential Handbook For Leaders Marcus Wallenberg 59
190 The Lion Way – Machine Learning plus Intelligent Optimization Roberto Battiti,
Mauro Brunato
191 The Master Algorithm – How the Quest for the Ultimate Learning Machine Will Remake Our World Pedro Domingos 322
192 The Sewing Machine Classroom – Learn the Ins and Outs of Your Machine Charlene Phillips 261
193 Thoughtful Machine Learning – A Test-Driven Approach Matthew Kirk 235
194 Thoughtful Machine Learning with Python – A Test-Driven Approach Matthew Kirk 216
195 Understanding Machine Learning – From Theory to Algorithms Shai Shalev-Shwartz,
Shai Ben-David
196 Unsupervised Deep Learning Lazy programmer 100
197 Unsupervised Machine Learning in Python The Lazy Programmer 89
198 Using Python to Develop Analytics, Control and Machine Learning Products Zhaoyang Wan 109
199 What You Need to Know about Machine Learning Gabriel Canepa 50
200 What You Need to Know about R Raghav Bali,
Dipanjan Sarkar

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