| 1 |
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AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors
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| 2 |
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Co-Intelligence: The Definitive, Bestselling Guide to Living and Working with AI
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3.96 avg rating — 12,365 ratings
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| 3 |
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Deep Utopia: Life and Meaning in a Solved World
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3.70 avg rating — 719 ratings
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| 4 |
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Superintelligence: Paths, Dangers, Strategies
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3.85 avg rating — 20,545 ratings
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| 5 |
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The Alignment Problem: Machine Learning and Human Values
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4.34 avg rating — 4,616 ratings
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| 6 |
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The Age of AI and Our Human Future
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3.45 avg rating — 5,049 ratings
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| 7 |
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A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains
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4.46 avg rating — 3,591 ratings
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| 8 |
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Life 3.0: Being Human in the Age of Artificial Intelligence
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| 9 |
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Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
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3.81 avg rating — 3,080 ratings
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Unmasking AI: My Mission to Protect What Is Human in a World of Machines
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The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
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The Book of Why: The New Science of Cause and Effect
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3.94 avg rating — 6,443 ratings
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| 13 |
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AI 2041: Ten Visions for Our Future
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3.84 avg rating — 5,274 ratings
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| 14 |
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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4.43 avg rating — 1,874 ratings
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| 15 |
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Machine Learning (McGraw-Hill International Editions Computer Science Series)
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4.07 avg rating — 853 ratings
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| 16 |
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Together: AI and Human. On The Same Side.
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3.98 avg rating — 56 ratings
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Pattern Recognition and Machine Learning
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4.32 avg rating — 1,889 ratings
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| 18 |
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Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype (Byte-sized Learning Book 2)
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Bayesian Reasoning and Machine Learning
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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.
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Pattern Classification
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4.05 avg rating — 388 ratings
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| 22 |
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Information Theory, Inference, and Learning Algorithms
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4.52 avg rating — 487 ratings
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An Introduction to Statistical Learning: with Applications in R
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4.59 avg rating — 2,308 ratings
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| 24 |
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Machine Learning: A Probabilistic Perspective
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4.34 avg rating — 520 ratings
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| 25 |
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Compassionate Artificial Superintelligence AI 5.0
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| 25 |
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Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
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4.39 avg rating — 23 ratings
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| 27 |
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Pattern Recognition
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3.85 avg rating — 73 ratings
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| 27 |
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Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
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4.28 avg rating — 32 ratings
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| 29 |
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
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3.97 avg rating — 62 ratings
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| 30 |
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Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
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3.90 avg rating — 784 ratings
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| 31 |
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Mining of Massive Datasets
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4.35 avg rating — 246 ratings
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| 32 |
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Introduction To Machine Learning
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3.77 avg rating — 248 ratings
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| 33 |
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Foundations of Machine Learning
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4.21 avg rating — 94 ratings
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Machine Learning: An Algorithmic Perspective
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3.77 avg rating — 181 ratings
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Machine Learning: A Bayesian and Optimization Perspective
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4.19 avg rating — 16 ratings
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Understanding Machine Learning
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4.21 avg rating — 131 ratings
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Machine Learning Refined: Foundations, Algorithms, and Applications
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4.14 avg rating — 29 ratings
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The Nature of Statistical Learning Theory
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STATISTICAL LEARNING THEORY
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Advanced Algorithms for Neural Networks: A C++ Sourcebook
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3.80 avg rating — 10 ratings
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Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
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4.12 avg rating — 203 ratings
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| 41 |
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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
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it was amazing 5.00 avg rating — 2 ratings
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| 41 |
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Cracking The Machine Learning Interview
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3.71 avg rating — 34 ratings
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Taxonomy of the most commonly used Machine Learning Algorithms
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4.33 avg rating — 6 ratings
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| 41 |
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Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
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4.86 avg rating — 7 ratings
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HumAIn: Navigating the Impact of AI in a Jobless Future
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it was amazing 5.00 avg rating — 1 rating
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Practical Neural Network Recipes in C++
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3.74 avg rating — 27 ratings
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Artificial Intelligence: A 60 Minute Guide
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4.23 avg rating — 22 ratings
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| 50 |
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Assessing and Improving Prediction and Classification
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4.64 avg rating — 11 ratings
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| 50 |
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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
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4.80 avg rating — 20 ratings
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| 50 |
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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
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4.80 avg rating — 20 ratings
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Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
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4.12 avg rating — 203 ratings
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Neural and Adaptive Systems: Fundamentals through Simulations
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Python Machine Learning: Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
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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
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4.67 avg rating — 9 ratings
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Kernel Methods for Pattern Analysis
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| 57 |
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Applied Predictive Modeling
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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
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it was amazing 5.00 avg rating — 3 ratings
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| 60 |
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Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science, 668)
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4.09 avg rating — 11 ratings
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| 61 |
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Machine Learning for Hackers
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3.73 avg rating — 407 ratings
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| 62 |
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Machine Learning in Action
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3.78 avg rating — 240 ratings
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| 63 |
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C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning)
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3.33 avg rating — 6 ratings
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| 64 |
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Introduction to Statistical Machine Learning
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3.40 avg rating — 5 ratings
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Encyclopedia of Machine Learning and Data Mining
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An Introduction to Machine Learning
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| 67 |
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A Compendium of Machine Learning I: Symbolic Learning (Ablex Series in Artificial Intelligence)
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4.33 avg rating — 3 ratings
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Machine Learning: Discriminative and Generative (The Springer International Series in Engineering and Computer Science, 755)
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2.71 avg rating — 7 ratings
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Machine Learning in Complex Networks
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2.50 avg rating — 2 ratings
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Machine Learning with R Cookbook
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Machine Learning with R
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Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
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Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems
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A First Course in Machine Learning
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MACHINE LEARNING FOR FINANCIAL ENGINEERING
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MATLAB Machine Learning
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Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
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3.33 avg rating — 6 ratings
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MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
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3.62 avg rating — 21 ratings
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Machine Learning: A Constraint-Based Approach
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4.50 avg rating — 2 ratings
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| 80 |
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Introduction To Pattern Recognition And Machine Learning (Iisc Lecture Notes Series Book 5)
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0.00 avg rating — 0 ratings
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| 81 |
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Machine Learning for Text
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4.10 avg rating — 10 ratings
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| 82 |
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Algorithmic Aspects of Machine Learning
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it was amazing 5.00 avg rating — 3 ratings
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Scaling up Machine Learning: Parallel and Distributed Approaches
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really liked it 4.00 avg rating — 13 ratings
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An Elementary Introduction to Statistical Learning Theory
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Statistical Mechanics of Learning
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