Best machine learning books

1.
AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors
AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors 4.28 avg rating — 7,283 ratings
2.
Deep Utopia: Life and Meaning in a Solved World
Deep Utopia: Life and Meaning in a Solved World 3.71 avg rating — 699 ratings
3.
Co-Intelligence: The Definitive, Bestselling Guide to Living and Working with AI
Co-Intelligence: The Definitive, Bestselling Guide to Living and Working with AI 3.96 avg rating — 11,535 ratings
4.
Superintelligence: Paths, Dangers, Strategies
Superintelligence: Paths, Dangers, Strategies 3.85 avg rating — 20,390 ratings
5.
A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains
A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains 4.46 avg rating — 3,326 ratings
6.
The Age of AI and Our Human Future
The Age of AI and Our Human Future 3.45 avg rating — 4,963 ratings
7.
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
by: Mo Gawdat
3.81 avg rating — 3,015 ratings
8.
The Alignment Problem: Machine Learning and Human Values
The Alignment Problem: Machine Learning and Human Values 4.35 avg rating — 4,511 ratings
9.
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma 3.82 avg rating — 12,123 ratings
10.
The Book of Why: The New Science of Cause and Effect
The Book of Why: The New Science of Cause and Effect 3.94 avg rating — 6,382 ratings
11.
Life 3.0: Being Human in the Age of Artificial Intelligence
Life 3.0: Being Human in the Age of Artificial Intelligence really liked it 4.00 avg rating — 26,831 ratings
12.
Unmasking AI: My Mission to Protect What Is Human in a World of Machines
Unmasking AI: My Mission to Protect What Is Human in a World of Machines 4.11 avg rating — 1,481 ratings
13.
AI 2041: Ten Visions for Our Future
AI 2041: Ten Visions for Our Future 3.84 avg rating — 5,189 ratings
14.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
The Elements of Statistical Learning: Data Mining, Inference, and Prediction 4.43 avg rating — 1,867 ratings
15.
Machine Learning (McGraw-Hill International Editions Computer Science Series)
Machine Learning (McGraw-Hill International Editions Computer Science Series) 4.07 avg rating — 853 ratings
16.
Together: AI and Human. On The Same Side.
Together: AI and Human. On The Same Side. 3.98 avg rating — 56 ratings
17.
Pattern Recognition and Machine Learning
Pattern Recognition and Machine Learning 4.32 avg rating — 1,882 ratings
18.
Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype (Byte-sized Learning Book 2)
Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype (Byte-sized Learning Book 2) 4.55 avg rating — 44 ratings
19.
Bayesian Reasoning and Machine Learning
Bayesian Reasoning and Machine Learning 4.10 avg rating — 192 ratings
20.
Machine Learning with Neural Networks: An In-depth Visual Introduction with Python: Make Your Own Neural Network in Python: A Simple Guide on Machine Learning with Neural Networks.
Machine Learning with Neural Networks: An In-depth Visual Introduction with Python: Make Your Own Neural Network in Python: A Simple Guide on Machine Learning with Neural Networks. really liked it 4.00 avg rating — 172 ratings
21.
Pattern Classification
Pattern Classification 4.05 avg rating — 387 ratings
22.
Information Theory, Inference, and Learning Algorithms
Information Theory, Inference, and Learning Algorithms 4.52 avg rating — 481 ratings
23.
An Introduction to Statistical Learning: with Applications in R
An Introduction to Statistical Learning: with Applications in R 4.59 avg rating — 2,296 ratings
24.
Machine Learning: A Probabilistic Perspective
Machine Learning: A Probabilistic Perspective 4.34 avg rating — 520 ratings
25.
Compassionate Artificial Superintelligence AI 5.0
Compassionate Artificial Superintelligence AI 5.0
by: Amit Ray
4.73 avg rating — 51 ratings
25.
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications 4.39 avg rating — 23 ratings
27.
Pattern Recognition
Pattern Recognition 3.85 avg rating — 72 ratings
27.
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining 4.28 avg rating — 32 ratings
29.
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods 3.97 avg rating — 62 ratings
30.
Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems) 3.90 avg rating — 784 ratings
31.
Mining of Massive Datasets
Mining of Massive Datasets 4.35 avg rating — 245 ratings
32.
Introduction To Machine Learning
Introduction To Machine Learning 3.76 avg rating — 247 ratings
33.
Foundations of Machine Learning
Foundations of Machine Learning 4.21 avg rating — 94 ratings
34.
Machine Learning: An Algorithmic Perspective
Machine Learning: An Algorithmic Perspective 3.77 avg rating — 181 ratings
35.
Optimization for Machine Learning (Neural Information Processing Series)
Optimization for Machine Learning (Neural Information Processing Series) 3.69 avg rating — 16 ratings
36.
Machine Learning: A Bayesian and Optimization Perspective
Machine Learning: A Bayesian and Optimization Perspective 4.19 avg rating — 16 ratings
37.
Understanding Machine Learning
Understanding Machine Learning 4.21 avg rating — 131 ratings
38.
Machine Learning Refined: Foundations, Algorithms, and Applications
Machine Learning Refined: Foundations, Algorithms, and Applications 4.14 avg rating — 29 ratings
39.
The Nature of Statistical Learning Theory
The Nature of Statistical Learning Theory 4.24 avg rating — 33 ratings
40.
STATISTICAL LEARNING THEORY
STATISTICAL LEARNING THEORY 4.23 avg rating — 22 ratings
41.
Advanced Algorithms for Neural Networks: A C++ Sourcebook
Advanced Algorithms for Neural Networks: A C++ Sourcebook 3.80 avg rating — 10 ratings
41.
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies 4.12 avg rating — 203 ratings
41.
AI Performance: The Art of Live Automation: The ultimate 'how to' guide in creating stunning, technical and revolutionary live shows for any contemporary musical performer
AI Performance: The Art of Live Automation: The ultimate 'how to' guide in creating stunning, technical and revolutionary live shows for any contemporary musical performer it was amazing 5.00 avg rating — 2 ratings
41.
Cracking The Machine Learning Interview
Cracking The Machine Learning Interview 3.69 avg rating — 32 ratings
41.
Taxonomy of the most commonly used Machine Learning Algorithms
Taxonomy of the most commonly used Machine Learning Algorithms 4.33 avg rating — 6 ratings
41.
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques 4.86 avg rating — 7 ratings
41.
HumAIn: Navigating the Impact of AI in a Jobless Future
HumAIn: Navigating the Impact of AI in a Jobless Future it was amazing 5.00 avg rating — 1 rating
48.
Practical Neural Network Recipes in C++
Practical Neural Network Recipes in C++ 3.74 avg rating — 27 ratings
48.
Artificial Intelligence: A 60 Minute Guide
Artificial Intelligence: A 60 Minute Guide 4.23 avg rating — 22 ratings
50.
Assessing and Improving Prediction and Classification
Assessing and Improving Prediction and Classification 4.64 avg rating — 11 ratings
50.
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science 4.80 avg rating — 20 ratings
50.
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science 4.80 avg rating — 20 ratings
50.
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies 4.12 avg rating — 203 ratings
54.
Neural and Adaptive Systems: Fundamentals through Simulations
Neural and Adaptive Systems: Fundamentals through Simulations 3.40 avg rating — 10 ratings
54.
Python Machine Learning: Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Python Machine Learning: Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks 4.50 avg rating — 8 ratings
56.
Machine Learning for Beginners: Learn and Understand the Basics of Artificial Intelligence. A Beginner's Guide to Properly Understand Machine Learning Essentials with Data Science Principles
Machine Learning for Beginners: Learn and Understand the Basics of Artificial Intelligence. A Beginner's Guide to Properly Understand Machine Learning Essentials with Data Science Principles 4.67 avg rating — 9 ratings
57.
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis 3.96 avg rating — 28 ratings
57.
Applied Predictive Modeling
Applied Predictive Modeling
by: Max Kuhn
4.40 avg rating — 339 ratings
57.
Python Programming: 2 Books in 1: Learning Python and Python Machine Learning. A Complete Overview for Beginners. How to Master Python Coding Basics and Effectively Learn Faster Computer Programming
Python Programming: 2 Books in 1: Learning Python and Python Machine Learning. A Complete Overview for Beginners. How to Master Python Coding Basics and Effectively Learn Faster Computer Programming it was amazing 5.00 avg rating — 3 ratings
60.
Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science, 668)
Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science, 668) 4.09 avg rating — 11 ratings
61.
Machine Learning for Hackers
Machine Learning for Hackers 3.73 avg rating — 407 ratings
62.
Machine Learning in Action
Machine Learning in Action 3.78 avg rating — 240 ratings
63.
C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning)
C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning) 3.33 avg rating — 6 ratings
64.
Introduction to Statistical Machine Learning
Introduction to Statistical Machine Learning 3.40 avg rating — 5 ratings
65.
Encyclopedia of Machine Learning and Data Mining
Encyclopedia of Machine Learning and Data Mining 3.75 avg rating — 4 ratings
66.
An Introduction to Machine Learning
An Introduction to Machine Learning 3.64 avg rating — 14 ratings
67.
A Compendium of Machine Learning I: Symbolic Learning (Ablex Series in Artificial Intelligence)
A Compendium of Machine Learning I: Symbolic Learning (Ablex Series in Artificial Intelligence) 4.33 avg rating — 3 ratings
68.
Machine Learning: Discriminative and Generative (The Springer International Series in Engineering and Computer Science, 755)
Machine Learning: Discriminative and Generative (The Springer International Series in Engineering and Computer Science, 755) 2.71 avg rating — 7 ratings
69.
Machine Learning in Complex Networks
Machine Learning in Complex Networks 2.50 avg rating — 2 ratings
70.
Machine Learning with R Cookbook
Machine Learning with R Cookbook really liked it 4.00 avg rating — 2 ratings
71.
Machine Learning with R
Machine Learning with R 4.20 avg rating — 310 ratings
72.
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies 4.35 avg rating — 105 ratings
73.
Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems
Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems really liked it 4.00 avg rating — 7 ratings
74.
A First Course in Machine Learning
A First Course in Machine Learning 3.96 avg rating — 26 ratings
75.
MACHINE LEARNING FOR FINANCIAL ENGINEERING
MACHINE LEARNING FOR FINANCIAL ENGINEERING really liked it 4.00 avg rating — 7 ratings
76.
MATLAB Machine Learning
MATLAB Machine Learning really liked it 4.00 avg rating — 3 ratings
77.
Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics) 3.33 avg rating — 6 ratings
78.
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
by: Phil Kim
3.62 avg rating — 21 ratings
79.
Machine Learning: A Constraint-Based Approach
Machine Learning: A Constraint-Based Approach 4.50 avg rating — 2 ratings
80.
Introduction To Pattern Recognition And Machine Learning (Iisc Lecture Notes Series Book 5)
Introduction To Pattern Recognition And Machine Learning (Iisc Lecture Notes Series Book 5) 0.00 avg rating — 0 ratings
81.
Machine Learning for Text
Machine Learning for Text 4.10 avg rating — 10 ratings
82.
Algorithmic Aspects of Machine Learning
Algorithmic Aspects of Machine Learning it was amazing 5.00 avg rating — 3 ratings
83.
Scaling up Machine Learning: Parallel and Distributed Approaches
Scaling up Machine Learning: Parallel and Distributed Approaches really liked it 4.00 avg rating — 13 ratings
84.
An Elementary Introduction to Statistical Learning Theory
An Elementary Introduction to Statistical Learning Theory 4.17 avg rating — 6 ratings
85.
Statistical Mechanics of Learning
Statistical Mechanics of Learning liked it 3.00 avg rating — 2 ratings