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Machine Learning
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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 — 7,198 ratings
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| 2 |
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Pattern Recognition and Machine Learning
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4.32 avg rating — 1,889 ratings
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| 3 |
|
Unmasking AI: My Mission to Protect What Is Human in a World of Machines
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4.12 avg rating — 1,508 ratings
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| 4 |
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The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
by
3.82 avg rating — 12,783 ratings
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| 5 |
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The Age of AI and Our Human Future
by
3.45 avg rating — 5,050 ratings
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| 6 |
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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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| 7 |
|
Life 3.0: Being Human in the Age of Artificial Intelligence
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really liked it 4.00 avg rating — 27,012 ratings
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| 8 |
|
Superintelligence: Paths, Dangers, Strategies
by
Nick Bostrom (Goodreads Author)
3.85 avg rating — 20,546 ratings
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| 9 |
|
Deep Utopia: Life and Meaning in a Solved World
by
Nick Bostrom (Goodreads Author)
3.70 avg rating — 719 ratings
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| 10 |
|
Co-Intelligence: The Definitive, Bestselling Guide to Living and Working with AI
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3.96 avg rating — 12,378 ratings
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| 11 |
|
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
by
3.81 avg rating — 3,081 ratings
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| 12 |
|
The Alignment Problem: Machine Learning and Human Values
by
Brian Christian (Goodreads Author)
4.34 avg rating — 4,618 ratings
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| 13 |
|
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by
4.43 avg rating — 1,874 ratings
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| 14 |
|
AI 2041: Ten Visions for Our Future
by
Kai-Fu Lee (Goodreads Author)
3.84 avg rating — 5,277 ratings
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| 15 |
|
A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains
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4.46 avg rating — 3,594 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 |
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Programming Collective Intelligence: Building Smart Web 2.0 Applications
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4.07 avg rating — 1,457 ratings
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| 18 |
|
Artificial Intelligence: A Modern Approach
by
4.20 avg rating — 4,400 ratings
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| 19 |
|
Machine Learning: A Probabilistic Perspective
by
4.34 avg rating — 520 ratings
score: 575,
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6 people voted
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| 20 |
|
Bayesian Data Analysis
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4.21 avg rating — 536 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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4.26 avg rating — 388 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 — 2,741 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 — 487 ratings
score: 452,
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5 people voted
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| 25 |
|
Bayesian Reasoning and Machine Learning
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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,
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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,
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4 people voted
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| 30 |
|
Pattern Classification
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4.05 avg rating — 388 ratings
score: 356,
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4 people voted
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| 31 |
|
Machine Learning for Hackers
by
3.73 avg rating — 407 ratings
score: 350,
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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,
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4 people voted
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| 33 |
|
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
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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
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4.39 avg rating — 23 ratings
score: 299,
and
3 people voted
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| 35 |
|
The Fractal Geometry of Nature
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4.23 avg rating — 1,277 ratings
score: 298,
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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,
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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 — 93,269 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,
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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
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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
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4.28 avg rating — 32 ratings
score: 198,
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2 people voted
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| 45 |
|
Beyond Einstein: The Cosmic Quest for the Theory of the Universe
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4.21 avg rating — 3,253 ratings
score: 196,
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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 — 595 ratings
score: 184,
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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,
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2 people voted
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| 50 |
|
Machine Learning and Data Mining
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3.86 avg rating — 7 ratings
score: 179,
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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 — 784 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
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4.23 avg rating — 205 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 — 24,657 ratings
score: 148,
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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 — 2,601 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
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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,
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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,
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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,
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1 person voted
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| 57 |
|
Supremacy: AI, ChatGPT, and the Race that Will Change the World
by
4.08 avg rating — 3,108 ratings
score: 100,
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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,
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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,
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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,
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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,
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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,
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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
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4.27 avg rating — 2,893 ratings
score: 97,
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1 person voted
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| 79 |
|
Algorithms of Oppression: How Search Engines Reinforce Racism
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3.89 avg rating — 3,815 ratings
score: 96,
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1 person voted
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| 80 |
|
Neural Networks and Learning Machines
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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 — 605 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 — 2,083 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)
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3.33 avg rating — 6 ratings
score: 92,
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1 person voted
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| 86 |
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Pattern Recognition and Machine Learning
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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
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3.90 avg rating — 449 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 — 161 ratings
score: 91,
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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
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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
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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 — 511 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
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3.77 avg rating — 2,756 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 — 9,302 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 — 5,982 ratings
score: 55,
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1 person voted
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102 books ·
117 voters ·
list created June 15th, 2012
by Zac Stewart.
Anyone can add books to this list.
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