| 1 |
|
AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors
by
4.28 avg rating — 7,130 ratings
|
|
| 2 |
|
Deep Utopia: Life and Meaning in a Solved World
by
3.66 avg rating — 760 ratings
|
|
| 3 |
|
Co-Intelligence: The Definitive, Bestselling Guide to Living and Working with AI
by
3.96 avg rating — 13,541 ratings
|
|
| 4 |
|
Superintelligence: Paths, Dangers, Strategies
by
3.85 avg rating — 20,767 ratings
|
|
| 5 |
|
Unmasking AI: My Mission to Protect What Is Human in a World of Machines
by
4.10 avg rating — 1,597 ratings
|
|
| 6 |
|
The Alignment Problem: Machine Learning and Human Values
by
4.34 avg rating — 4,771 ratings
|
|
| 7 |
|
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
by
3.81 avg rating — 13,755 ratings
|
|
| 8 |
|
The Age of AI and Our Human Future
by
3.44 avg rating — 5,230 ratings
|
|
| 9 |
|
A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains
by
4.46 avg rating — 4,070 ratings
|
|
| 10 |
|
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
by
3.81 avg rating — 3,167 ratings
|
|
| 11 |
|
The Book of Why: The New Science of Cause and Effect
by
3.94 avg rating — 6,500 ratings
|
|
| 12 |
|
Life 3.0: Being Human in the Age of Artificial Intelligence
by
really liked it 4.00 avg rating — 27,287 ratings
|
|
| 13 |
|
AI 2041: Ten Visions for Our Future
by
3.84 avg rating — 5,422 ratings
|
|
| 14 |
|
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by
4.43 avg rating — 1,880 ratings
|
|
| 15 |
|
Machine Learning (McGraw-Hill International Editions Computer Science Series)
by
4.07 avg rating — 852 ratings
|
|
| 16 |
|
Together: AI and Human. On The Same Side.
by
3.98 avg rating — 56 ratings
|
|
| 17 |
|
Pattern Recognition and Machine Learning
by
4.32 avg rating — 1,892 ratings
|
|
| 18 |
|
Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype
by
4.51 avg rating — 45 ratings
|
|
| 19 |
|
Bayesian Reasoning and Machine Learning
by
4.10 avg rating — 193 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.
by
really liked it 4.00 avg rating — 174 ratings
|
|
| 21 |
|
Pattern Classification
by
4.05 avg rating — 389 ratings
|
|
| 22 |
|
Information Theory, Inference, and Learning Algorithms
by
4.52 avg rating — 486 ratings
|
|
| 23 |
|
An Introduction to Statistical Learning: with Applications in R
by
4.59 avg rating — 2,319 ratings
|
|
| 24 |
|
Machine Learning: A Probabilistic Perspective
by
4.34 avg rating — 519 ratings
|
|
| 25 |
|
Compassionate Artificial Superintelligence AI 5.0
by
4.73 avg rating — 51 ratings
|
|
| 25 |
|
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
by
4.39 avg rating — 23 ratings
|
|
| 27 |
|
Pattern Recognition
by
3.85 avg rating — 73 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
by
4.28 avg rating — 32 ratings
|
|
| 29 |
|
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
by
3.97 avg rating — 62 ratings
|
|
| 30 |
|
Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
by
3.90 avg rating — 786 ratings
|
|
| 31 |
|
Mining of Massive Datasets
by
4.35 avg rating — 248 ratings
|
|
| 32 |
|
Introduction To Machine Learning
by
3.77 avg rating — 250 ratings
|
|
| 33 |
|
Foundations of Machine Learning
by
4.21 avg rating — 94 ratings
|
|
| 34 |
|
Machine Learning: An Algorithmic Perspective
by
3.77 avg rating — 182 ratings
|
|
| 35 |
|
Optimization for Machine Learning (Neural Information Processing Series)
by
3.76 avg rating — 17 ratings
|
|
| 36 |
|
Machine Learning: A Bayesian and Optimization Perspective
by
4.24 avg rating — 17 ratings
|
|
| 37 |
|
Understanding Machine Learning
by
4.21 avg rating — 131 ratings
|
|
| 38 |
|
Machine Learning Refined: Foundations, Algorithms, and Applications
by
4.14 avg rating — 29 ratings
|
|
| 39 |
|
The Nature of Statistical Learning Theory
by
4.26 avg rating — 34 ratings
|
|
| 40 |
|
STATISTICAL LEARNING THEORY
by
4.23 avg rating — 22 ratings
|
|
| 41 |
|
Advanced Algorithms for Neural Networks: A C++ Sourcebook
by
3.80 avg rating — 10 ratings
|
|
| 41 |
|
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
by
4.15 avg rating — 205 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
by
it was amazing 5.00 avg rating — 2 ratings
|
|
| 41 |
|
Cracking The Machine Learning Interview
by
3.71 avg rating — 34 ratings
|
|
| 41 |
|
Taxonomy of the most commonly used Machine Learning Algorithms
by
4.33 avg rating — 6 ratings
|
|
| 41 |
|
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
by
4.86 avg rating — 7 ratings
|
|
| 41 |
|
HumAIn: Navigating the Impact of AI in a Jobless Future
by
4.33 avg rating — 3 ratings
|
|
| 41 |
|
What You Need to Know About AI: A Primer on Being Human in an Artificially Intelligent World
by
4.75 avg rating — 8 ratings
|
|
| 49 |
|
Practical Neural Network Recipes in C++
by
3.74 avg rating — 27 ratings
|
|
| 49 |
|
Artificial Intelligence: A 60 Minute Guide
by
4.23 avg rating — 22 ratings
|
|
| 51 |
|
Assessing and Improving Prediction and Classification
by
4.64 avg rating — 11 ratings
|
|
| 51 |
|
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
by
4.80 avg rating — 20 ratings
|
|
| 51 |
|
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
by
4.80 avg rating — 20 ratings
|
|
| 51 |
|
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
by
4.15 avg rating — 205 ratings
|
|
| 55 |
|
Neural and Adaptive Systems: Fundamentals through Simulations
by
3.40 avg rating — 10 ratings
|
|
| 55 |
|
Python Machine Learning: Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
by
4.50 avg rating — 8 ratings
|
|
| 57 |
|
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
by
4.67 avg rating — 9 ratings
|
|
| 58 |
|
Kernel Methods for Pattern Analysis
by
really liked it 4.00 avg rating — 29 ratings
|
|
| 58 |
|
Applied Predictive Modeling
by
4.40 avg rating — 343 ratings
|
|
| 58 |
|
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
by
it was amazing 5.00 avg rating — 3 ratings
|
|
| 61 |
|
Learning to Classify Text Using Support Vector Machines (The Springer International Series in Engineering and Computer Science, 668)
by
4.09 avg rating — 11 ratings
|
|
| 62 |
|
Machine Learning for Hackers
by
3.73 avg rating — 408 ratings
|
|
| 63 |
|
Machine Learning in Action
by
3.78 avg rating — 240 ratings
|
|
| 64 |
|
C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning)
by
3.33 avg rating — 6 ratings
|
|
| 65 |
|
Introduction to Statistical Machine Learning
by
3.40 avg rating — 5 ratings
|
|
| 66 |
|
Encyclopedia of Machine Learning and Data Mining
by
3.75 avg rating — 4 ratings
|
|
| 67 |
|
An Introduction to Machine Learning
by
3.64 avg rating — 14 ratings
|
|
| 68 |
|
A Compendium of Machine Learning I: Symbolic Learning (Ablex Series in Artificial Intelligence)
by
4.33 avg rating — 3 ratings
|
|
| 69 |
|
Machine Learning: Discriminative and Generative (The Springer International Series in Engineering and Computer Science, 755)
by
2.71 avg rating — 7 ratings
|
|
| 70 |
|
Machine Learning in Complex Networks
by
2.50 avg rating — 2 ratings
|
|
| 71 |
|
Machine Learning with R Cookbook
by
really liked it 4.00 avg rating — 2 ratings
|
|
| 72 |
|
Machine Learning with R
by
4.21 avg rating — 310 ratings
|
|
| 73 |
|
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
by
4.35 avg rating — 105 ratings
|
|
| 74 |
|
Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems
by
really liked it 4.00 avg rating — 7 ratings
|
|
| 75 |
|
A First Course in Machine Learning
by
3.92 avg rating — 26 ratings
|
|
| 76 |
|
MACHINE LEARNING FOR FINANCIAL ENGINEERING
by
really liked it 4.00 avg rating — 8 ratings
|
|
| 77 |
|
MATLAB Machine Learning
by
really liked it 4.00 avg rating — 3 ratings
|
|
| 78 |
|
Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
by
3.33 avg rating — 6 ratings
|
|
| 79 |
|
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
by
3.62 avg rating — 21 ratings
|
|
| 80 |
|
Machine Learning: A Constraint-Based Approach
by
4.50 avg rating — 2 ratings
|
|
| 81 |
|
Introduction To Pattern Recognition And Machine Learning (Iisc Lecture Notes Series Book 5)
by
0.00 avg rating — 0 ratings
|
|
| 82 |
|
Machine Learning for Text
by
4.10 avg rating — 10 ratings
|
|
| 83 |
|
Algorithmic Aspects of Machine Learning
by
it was amazing 5.00 avg rating — 3 ratings
|
|
| 84 |
|
Scaling up Machine Learning: Parallel and Distributed Approaches
by
really liked it 4.00 avg rating — 13 ratings
|
|
| 85 |
|
An Elementary Introduction to Statistical Learning Theory (Wiley Series in Probability and Statistics)
by
4.17 avg rating — 6 ratings
|
|
| 86 |
|
Statistical Mechanics of Learning
by
liked it 3.00 avg rating — 2 ratings
|
|