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A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.
| 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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4.28 avg rating — 7,194 ratings
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| 2 |
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Pattern Recognition and Machine Learning
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4.32 avg rating — 1,890 ratings
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| 3 |
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Unmasking AI: My Mission to Protect What Is Human in a World of Machines
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4.12 avg rating — 1,532 ratings
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| 4 |
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The Age of AI and Our Human Future
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3.45 avg rating — 5,090 ratings
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| 5 |
|
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
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3.82 avg rating — 12,998 ratings
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| 6 |
|
Life 3.0: Being Human in the Age of Artificial Intelligence
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really liked it 4.00 avg rating — 27,071 ratings
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| 7 |
|
Superintelligence: Paths, Dangers, Strategies
by
Nick Bostrom (Goodreads Author)
3.85 avg rating — 20,604 ratings
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| 8 |
|
The Book of Why: The New Science of Cause and Effect
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3.94 avg rating — 6,461 ratings
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| 9 |
|
Co-Intelligence: The Definitive, Bestselling Guide to Living and Working with AI
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3.96 avg rating — 12,613 ratings
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| 10 |
|
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by
4.43 avg rating — 1,874 ratings
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| 11 |
|
Deep Utopia: Life and Meaning in a Solved World
by
Nick Bostrom (Goodreads Author)
3.69 avg rating — 731 ratings
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| 12 |
|
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
by
3.81 avg rating — 3,110 ratings
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| 13 |
|
The Alignment Problem: Machine Learning and Human Values
by
Brian Christian (Goodreads Author)
4.34 avg rating — 4,662 ratings
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| 14 |
|
AI 2041: Ten Visions for Our Future
by
Kai-Fu Lee (Goodreads Author)
3.84 avg rating — 5,305 ratings
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| 15 |
|
A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains
by
4.46 avg rating — 3,704 ratings
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| 16 |
|
Together: AI and Human. On The Same Side.
by
Zoltan Andrejkovics (Goodreads Author)
3.98 avg rating — 56 ratings
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| 17 |
|
Programming Collective Intelligence: Building Smart Web 2.0 Applications
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4.07 avg rating — 1,456 ratings
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| 18 |
|
Artificial Intelligence: A Modern Approach
by
4.20 avg rating — 4,407 ratings
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| 19 |
|
Machine Learning: A Probabilistic Perspective
by
4.34 avg rating — 520 ratings
score: 575,
and
6 people voted
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| 20 |
|
Bayesian Data Analysis
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4.21 avg rating — 535 ratings
score: 545,
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6 people voted
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| 21 |
|
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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really liked it 4.00 avg rating — 174 ratings
score: 500,
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5 people voted
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| 22 |
|
All of Statistics: A Concise Course in Statistical Inference
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4.25 avg rating — 389 ratings
score: 488,
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5 people voted
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| 23 |
|
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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4.55 avg rating — 2,748 ratings
score: 474,
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5 people voted
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| 24 |
|
Information Theory, Inference, and Learning Algorithms
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4.52 avg rating — 486 ratings
score: 452,
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5 people voted
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| 25 |
|
Bayesian Reasoning and Machine Learning
by
4.10 avg rating — 193 ratings
score: 437,
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5 people voted
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| 26 |
|
Compassionate Artificial Intelligence
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4.89 avg rating — 36 ratings
score: 399,
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4 people voted
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| 27 |
|
Compassionate Artificial Superintelligence AI 5.0
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4.73 avg rating — 51 ratings
score: 397,
and
4 people voted
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| 28 |
|
Applied Predictive Modeling
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4.40 avg rating — 339 ratings
score: 392,
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4 people voted
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| 29 |
|
An Introduction to Statistical Learning: with Applications in R
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4.59 avg rating — 2,308 ratings
score: 390,
and
4 people voted
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| 30 |
|
Pattern Classification
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4.05 avg rating — 388 ratings
score: 356,
and
4 people voted
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| 31 |
|
Machine Learning for Hackers
by
3.73 avg rating — 407 ratings
score: 350,
and
4 people voted
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| 32 |
|
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
by
3.97 avg rating — 62 ratings
score: 344,
and
4 people voted
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| 33 |
|
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
by
4.07 avg rating — 312 ratings
score: 299,
and
3 people voted
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| 33 |
|
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
by
4.39 avg rating — 23 ratings
score: 299,
and
3 people voted
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| 35 |
|
The Fractal Geometry of Nature
by
4.23 avg rating — 1,279 ratings
score: 298,
and
3 people voted
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| 36 |
|
Understanding Machine Learning
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4.21 avg rating — 131 ratings
score: 273,
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3 people voted
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| 37 |
|
Machine Learning (McGraw-Hill International Editions Computer Science Series)
by
4.07 avg rating — 853 ratings
score: 265,
and
3 people voted
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| 38 |
|
An Introduction to Probability Theory and Its Applications, Volume 2
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4.11 avg rating — 35 ratings
score: 260,
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3 people voted
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| 39 |
|
Nudge: Improving Decisions About Health, Wealth, and Happiness
by
3.84 avg rating — 93,469 ratings
score: 253,
and
3 people voted
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| 40 |
|
An Introduction to Computational Learning Theory
by
3.90 avg rating — 40 ratings
score: 252,
and
3 people voted
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| 41 |
|
Machine Learning
by
4.07 avg rating — 853 ratings
score: 251,
and
3 people voted
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| 42 |
|
The Future of Artificial Intelligence in Digital Marketing
by
Maria Johnsen (Goodreads Author)
4.88 avg rating — 73 ratings
score: 200,
and
2 people voted
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| 43 |
|
Understanding Artificial Intelligence: A Concise Introduction
by
4.33 avg rating — 3 ratings
score: 199,
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2 people voted
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| 44 |
|
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
score: 198,
and
2 people voted
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| 45 |
|
Beyond Einstein: The Cosmic Quest for the Theory of the Universe
by
4.21 avg rating — 3,252 ratings
score: 196,
and
2 people voted
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| 45 |
|
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
score: 196,
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2 people voted
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| 47 |
|
Machine Learning: An Algorithmic Perspective
by
3.77 avg rating — 181 ratings
score: 193,
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2 people voted
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| 48 |
|
Concepts of Modern Mathematics (Dover Books on Mathematics)
by
4.12 avg rating — 596 ratings
score: 184,
and
2 people voted
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| 49 |
|
Mathematics and the Imagination (Dover Books on Mathematics)
by
4.18 avg rating — 235 ratings
score: 181,
and
2 people voted
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| 50 |
|
Machine Learning and Data Mining
by
3.86 avg rating — 7 ratings
score: 179,
and
2 people voted
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| 51 |
|
Advanced Algorithms for Neural Networks: A C++ Sourcebook
by
Timothy Masters (Goodreads Author)
3.80 avg rating — 10 ratings
score: 175,
and
2 people voted
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| 52 |
|
Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
by
3.90 avg rating — 785 ratings
score: 172,
and
2 people voted
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| 53 |
|
Practical Neural Network Recipes in C++
by
Timothy Masters (Goodreads Author)
3.74 avg rating — 27 ratings
score: 171,
and
2 people voted
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| 54 |
|
Networks: An Introduction
by
4.24 avg rating — 207 ratings
score: 159,
and
2 people voted
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| 55 |
|
Pattern Recognition
by
3.85 avg rating — 73 ratings
score: 156,
and
2 people voted
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| 56 |
|
The Wisdom of Crowds
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3.82 avg rating — 24,671 ratings
score: 148,
and
2 people voted
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| 57 |
|
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
by
4.13 avg rating — 2,609 ratings
score: 100,
and
1 person voted
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| 57 |
|
Python Data Science Cookbook
by
3.71 avg rating — 14 ratings
score: 100,
and
1 person voted
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| 57 |
|
Mathematica Data Analysis
by
Sergiy Suchok (Goodreads Author)
4.55 avg rating — 11 ratings
score: 100,
and
1 person voted
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| 57 |
|
The Math of Neural Networks
by
4.17 avg rating — 110 ratings
score: 100,
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1 person voted
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| 57 |
|
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
Chris Frost (Goodreads Author)
it was amazing 5.00 avg rating — 2 ratings
score: 100,
and
1 person voted
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| 57 |
|
Artificial Intelligence: A 60 Minute Guide
by
Steven Finlay (Goodreads Author)
4.23 avg rating — 22 ratings
score: 100,
and
1 person voted
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| 57 |
|
Make Your Own Neural Network
by
4.35 avg rating — 695 ratings
score: 100,
and
1 person voted
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| 57 |
|
Taxonomy of the most commonly used Machine Learning Algorithms
by
Murat Durmus (Goodreads Author)
4.33 avg rating — 6 ratings
score: 100,
and
1 person voted
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| 57 |
|
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
by
4.86 avg rating — 7 ratings
score: 100,
and
1 person voted
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| 57 |
|
Supremacy: AI, ChatGPT, and the Race that Will Change the World
by
4.07 avg rating — 3,305 ratings
score: 100,
and
1 person voted
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| 57 |
|
The Dystopian Utopia: A warning for humanity's future
by
Carl M.A. Arden (Goodreads Author)
really liked it 4.00 avg rating — 4 ratings
score: 100,
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1 person voted
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| 68 |
|
Beyond AI: Creating the Conscience of the Machine
by
3.68 avg rating — 90 ratings
score: 99,
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1 person voted
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| 68 |
|
Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees
by
3.93 avg rating — 147 ratings
score: 99,
and
1 person voted
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| 68 |
|
Blockchain in Digital Marketing-A New Paradigm of Trust
by
Maria Johnsen (Goodreads Author)
it was amazing 5.00 avg rating — 7 ratings
score: 99,
and
1 person voted
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| 71 |
|
Neural and Adaptive Systems: Fundamentals through Simulations
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3.40 avg rating — 10 ratings
score: 98,
and
1 person voted
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| 71 |
|
Sales in The Age Of Intelligent Web
by
Maria Johnsen (Goodreads Author)
it was amazing 5.00 avg rating — 6 ratings
score: 98,
and
1 person voted
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| 71 |
|
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
by
Steven Finlay (Goodreads Author)
4.12 avg rating — 203 ratings
score: 98,
and
1 person voted
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| 71 |
|
Taming the Machine: Ethically Harness the Power of AI
by
Nell Watson (Goodreads Author)
4.33 avg rating — 15 ratings
score: 98,
and
1 person voted
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| 75 |
|
Assessing and Improving Prediction and Classification
by
Timothy Masters (Goodreads Author)
4.64 avg rating — 11 ratings
score: 97,
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1 person voted
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| 75 |
|
Machine Learning: A Practical Approach on the Statistical Learning Theory
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4.67 avg rating — 3 ratings
score: 97,
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1 person voted
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| 75 |
|
The Total Library: Non-Fiction 1922-1986
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4.41 avg rating — 251 ratings
score: 97,
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1 person voted
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| 75 |
|
Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World
by
4.26 avg rating — 2,916 ratings
score: 97,
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1 person voted
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| 79 |
|
Algorithms of Oppression: How Search Engines Reinforce Racism
by
3.89 avg rating — 3,825 ratings
score: 96,
and
1 person voted
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| 80 |
|
Neural Networks and Learning Machines
by
4.09 avg rating — 45 ratings
score: 95,
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1 person voted
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| 80 |
|
Will Computers Revolt?: Preparing for the Future of Artificial Intelligence
by
Charles J. Simon (Goodreads Author)
4.08 avg rating — 13 ratings
score: 95,
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1 person voted
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| 82 |
|
Machine Learning: A Bayesian and Optimization Perspective
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4.19 avg rating — 16 ratings
score: 94,
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1 person voted
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| 82 |
|
The Age of Em: Work, Love and Life When Robots Rule the Earth
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3.43 avg rating — 607 ratings
score: 94,
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1 person voted
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| 84 |
|
Deep Learning
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4.44 avg rating — 2,089 ratings
score: 93,
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1 person voted
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| 84 |
|
Rise of the Robots: Technology and the Threat of a Jobless Future
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3.96 avg rating — 9,490 ratings
score: 93,
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1 person voted
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| 86 |
|
C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning)
by
3.33 avg rating — 6 ratings
score: 92,
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1 person voted
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| 86 |
|
Pattern Recognition and Machine Learning
by
4.75 avg rating — 4 ratings
score: 92,
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1 person voted
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| 86 |
|
Data Love: The Seduction and Betrayal of Digital Technologies
by
3.26 avg rating — 39 ratings
score: 92,
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1 person voted
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| 89 |
|
Deep Learning
by
3.90 avg rating — 450 ratings
score: 91,
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1 person voted
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| 89 |
|
The Great Acceleration: How the World is Getting Faster, Faster
by
Robert Colvile (Goodreads Author)
3.56 avg rating — 163 ratings
score: 91,
and
1 person voted
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| 91 |
|
Adventures of a Mathematician
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4.09 avg rating — 463 ratings
score: 90,
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1 person voted
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| 91 |
|
Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence
by
3.91 avg rating — 22 ratings
score: 90,
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1 person voted
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| 91 |
|
The Black Box Society: The Secret Algorithms That Control Money and Information
by
3.73 avg rating — 320 ratings
score: 90,
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1 person voted
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| 94 |
|
Neural Networks and Deep Learning: A Textbook
by
4.30 avg rating — 47 ratings
score: 89,
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1 person voted
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| 94 |
|
We Are Data: Algorithms and the Making of Our Digital Selves
by
3.10 avg rating — 134 ratings
score: 89,
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1 person voted
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| 96 |
|
Visual Complex Analysis
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4.48 avg rating — 512 ratings
score: 82,
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1 person voted
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| 97 |
|
The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
by
3.77 avg rating — 2,764 ratings
score: 76,
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1 person voted
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| 98 |
|
Recommender Systems: An Introduction
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4.06 avg rating — 54 ratings
score: 70,
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1 person voted
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| 99 |
|
The Quants: How a New Breed of Math Whizzes Conquered Wall Street and Nearly Destroyed It
by
Scott Patterson (Goodreads Author)
3.89 avg rating — 9,306 ratings
score: 56,
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1 person voted
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| 100 |
|
Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart
by
3.72 avg rating — 5,983 ratings
score: 55,
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1 person voted
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102 books ·
116 voters ·
list created June 15th, 2012
by Zac Stewart.
Anyone can add books to this list.
How to Vote
To vote on existing books from the list, beside each book there is a link vote for this book clicking it will add that book to your votes.
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