200 Machine Learning Books – Free Download – Premium Books Collection

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.

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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 It is also so quickly moving that any book that attempts to cover the latest developments will be outdated before it gets online.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	307
4	A Probabilistic Theory of Pattern Recognition	Luc Devroye, Laszlo Gyorfi, Gabor Lugosi	654
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	241
9	AI Based Robot Safe Learning And Control	Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv	138
10	An Introduction to Machine Learning Intrepretability Second Edition	Patrick Hall, Navdeep Gill	62
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	436
13	Applications of Machine Learning in Wireless Communications	Ruisi He, Zhiguo Ding	492
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	332
17	Artificial Intelligence – A Modern Approach – Third Edition	Stuart J. Russell, Peter Norvig	1151
18	Artificial Intelligence – Foundations of Computational Agents	David L. Poole, Alan K.Mackworth	682
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	585
22	Artificial Neural Networks and Machine Learning – ICANN 2018	Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis	854
23	Automated Machine Learning	Frank Hutter, Lars Kotthoff, Joaquin Vanschoren	222
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	477
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	290
35	Combinatorial Machine Learning – A Rough Set Approach	Mikhail Moshkov, Beata Zielosko	186
36	Computer Age Statistical Inference	Bradley Efron, Trevor Hastie	493
37	Computer Programming For Beginners	Kevin Cooper	506
38	Conformal Prediction for Reliable Machine Learning	Vineeth N. Balasubramanian, Shen-Shyang Ho, Vladimir Vovk	300
39	Convolutional Neural Networks in Python	The LazyProgrammer	75
40	Cyber Security Cryptography and Machine Learning	Shlomi Dolev, Sachin Lodha	318
41	Data Mining – Practical Machine Learning Tools and Techniques – 2nd Edition	Ian H. Witten, Eibe Frank	558
42	Data Mining – Practical Machine Learning Tools and Techniques – 3rd Edition	Ian H. Witten, Eibe Frank, Mark A. Hall	665
43	Data Mining and Machine Learning in Cyber security	Sumeet Dua, Xian Du	248
44	Deep learning – Adaptive Computation and Machine Learning	Ian Goodfellow, Yoshua Bengio, Aaron Courville	801
45	Deep Learning for Natural Language Processing	Palash Goyal, Sumit Pandey, Karan Jain	290
46	Deep Learning in Python	Lazy Programmer	104
47	Deep Learning Interviews	SHLOMO KASHANI	401
48	Deep Learning with PyTorch	Eli Stevens, Luca Antiga	141
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	263
52	Ensembles in Machine Learning Applications	Oleg Okun, Giorgio Valentini, Matteo Re	262
53	Extreme Learning Machines 2013 – Algorithms and Applications	Fuchen Sun, Kar-Ann Toh, Manuel Grana Romay, Kezhi Mao	224
54	Feature Engineering for Machine Learning – Principles and Techniques for Data Scientists	Alice Zheng, Amanda Casari	217
55	Financial Signal Processing and Machine Learning	Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry MalioutovI	440
56	Foundations of Machine Learning – Second Edition	Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar	505
57	Foundations of Machine Learning	Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar	427
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	691
60	Gaussian Processes for Machine Learning	Carl Edward Rasmussen, Christopher K. I. Williams	266
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	266
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	322
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	392
74	Introduction to Machine Learning	Ethem Alpaydın	639
75	Introduction to Pattern Recognition and Machine Learning	M Narasimha, Der V Sunshield Devi	402
76	Introduction to Probability	Joseph K. Blitzstein, Jessica Hwang	589
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	228
80	Large Scale Machine Learning with Python	Bastiaan Sjardin, Luca Massaron, Alberto Boschetti	420
81	Large Scale Machine Learning with Spark	Md. Rezaul Karim, Md. Mahedi Kaysar	472
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	645
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	213
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	334
100	Machine Learning and Security – Protecting Systems with Data and Algorithms	Clarence Chio, David Freeman	385
101	Machine Learning and Systems Engineering	Sio-Iong Ao, Burghard Rieger, Mahyar A. Amouzegar	635
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	250
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	75
107	Machine Learning For Dummies	John Paul Mueller, Luca Massaron	435
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	322
110	Machine Learning for Humans	Vishal Maini, Samer Sabri	97
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	249
115	Machine Learning in Java	Bostjan Kaluza	258
116	Machine Learning in Medicine – A Complete Overview	Ton J. Cleophas, Aeilko H. Zwinderman	498
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	697
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	135
122	Machine Learning Projects for .NET Developer	Mathias Brandewinder	390
123	Machine Learning Projects with Python	Brian Hogan, Mark Drake	135
124	Machine Learning Refined – Foundations, Algorithms, and Applications	Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos	301
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	274
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	412
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	358
136	MATLAB Machine Learning	Michael Paluszek, Stephanie Thomas	335
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	510
139	Natural Language Annotation for Machine Learning	James Pustejovsky, Amber Stubbs	343
140	Natural Language Processing Recipes – Unlocking Text Data with Machine Learning and Deep Learning using Python	Akshay Kulkarni, Adarsha Shivananda	253
141	Neo4j – Graph Algorithms	Mark Needham, Amy E. Hodler	257
142	Neural Network Design	Martin T.Hagan, Howard B. Demuth, Mark Hudson Beale, Orlando De Jesús	1012
143	Neural Network Programming with Java	Fábio M. Soares, Alan M.F. Souza	244
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	340
149	Optimization for Machine Learning	Suvrit Sra, Sebastian Nowozin, Stephen J. Wright	509
150	Pattern Recognition and Machine Learning	Christopher M. Bishop	758
151	Patterns, Predictions, and Actions – A Story About Machine Learning	Moritz Hardt, Benjamin Recht	309
152	Physics Based Deep Learning	N. Thuerey, P. Holl, M. Mueller, P. Schnell, F. Trost, K. Um	287
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	545
160	Practical Machine Learning	Sunila Gollapudi	468
161	Principles and Theory for Data Mining and Machine Learning	Bertrand Clarke, Ernest Fokoue, Hao Helen Zhang	793
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	901
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	174
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	368
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	356
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	206
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	764
189	The Essential Handbook For Leaders	Marcus Wallenberg	59
190	The Lion Way – Machine Learning plus Intelligent Optimization	Roberto Battiti, Mauro Brunato	516
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	416
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	62

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200 Machine Learning Books – Free Download – Premium Books Collection

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