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Best machine learning books
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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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Co-Intelligence: The Definitive, Bestselling Guide to Living and Working with AI
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3.96 avg rating — 12,443 ratings
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| 3 |
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Deep Utopia: Life and Meaning in a Solved World
by
Nick Bostrom (Goodreads Author)
3.70 avg rating — 721 ratings
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| 4 |
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Superintelligence: Paths, Dangers, Strategies
by
Nick Bostrom (Goodreads Author)
3.85 avg rating — 20,554 ratings
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| 5 |
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The Alignment Problem: Machine Learning and Human Values
by
Brian Christian (Goodreads Author)
4.34 avg rating — 4,625 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 — 5,060 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 — 3,618 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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really liked it 4.00 avg rating — 27,022 ratings
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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 — 3,093 ratings
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| 10 |
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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 — 1,512 ratings
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| 11 |
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The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
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3.82 avg rating — 12,831 ratings
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| 12 |
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The Book of Why: The New Science of Cause and Effect
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3.94 avg rating — 6,450 ratings
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| 13 |
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AI 2041: Ten Visions for Our Future
by
Kai-Fu Lee (Goodreads Author)
3.84 avg rating — 5,288 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 |
|
Together: AI and Human. On The Same Side.
by
Zoltan Andrejkovics (Goodreads Author)
3.98 avg rating — 56 ratings
score: 900,
and
9 people voted
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| 17 |
|
Pattern Recognition and Machine Learning
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4.32 avg rating — 1,889 ratings
score: 786,
and
8 people voted
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| 18 |
|
Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype (Byte-sized Learning Book 2)
by
I. Almeida (Goodreads Author)
4.55 avg rating — 44 ratings
score: 600,
and
6 people voted
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| 19 |
|
Bayesian Reasoning and Machine Learning
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4.10 avg rating — 193 ratings
score: 574,
and
6 people voted
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| 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.
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really liked it 4.00 avg rating — 174 ratings
score: 500,
and
5 people voted
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| 21 |
|
Pattern Classification
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4.05 avg rating — 388 ratings
score: 491,
and
5 people voted
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| 22 |
|
Information Theory, Inference, and Learning Algorithms
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4.52 avg rating — 487 ratings
score: 482,
and
5 people voted
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| 23 |
|
An Introduction to Statistical Learning: with Applications in R
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4.59 avg rating — 2,308 ratings
score: 340,
and
4 people voted
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| 24 |
|
Machine Learning: A Probabilistic Perspective
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4.34 avg rating — 521 ratings
score: 250,
and
3 people voted
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| 25 |
|
Compassionate Artificial Superintelligence AI 5.0
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4.73 avg rating — 51 ratings
score: 200,
and
2 people voted
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| 25 |
|
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: 200,
and
2 people voted
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| 27 |
|
Pattern Recognition
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3.85 avg rating — 73 ratings
score: 198,
and
2 people voted
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| 27 |
|
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,
and
2 people voted
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| 29 |
|
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
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3.97 avg rating — 62 ratings
score: 192,
and
2 people voted
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| 30 |
|
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
score: 189,
and
2 people voted
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| 31 |
|
Mining of Massive Datasets
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4.35 avg rating — 246 ratings
score: 182,
and
2 people voted
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| 32 |
|
Introduction To Machine Learning
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3.77 avg rating — 249 ratings
score: 181,
and
2 people voted
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| 33 |
|
Foundations of Machine Learning
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4.21 avg rating — 94 ratings
score: 179,
and
2 people voted
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| 34 |
|
Machine Learning: An Algorithmic Perspective
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3.77 avg rating — 181 ratings
score: 177,
and
2 people voted
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| 35 |
|
Optimization for Machine Learning (Neural Information Processing Series)
by
Suvrit Sra (Editor)
3.69 avg rating — 16 ratings
score: 175,
and
2 people voted
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| 36 |
|
Machine Learning: A Bayesian and Optimization Perspective
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4.19 avg rating — 16 ratings
score: 172,
and
2 people voted
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| 37 |
|
Understanding Machine Learning
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4.21 avg rating — 131 ratings
score: 170,
and
2 people voted
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| 38 |
|
Machine Learning Refined: Foundations, Algorithms, and Applications
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4.14 avg rating — 29 ratings
score: 159,
and
2 people voted
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| 39 |
|
The Nature of Statistical Learning Theory
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4.26 avg rating — 34 ratings
score: 140,
and
2 people voted
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| 40 |
|
STATISTICAL LEARNING THEORY
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4.23 avg rating — 22 ratings
score: 139,
and
2 people voted
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| 41 |
|
Advanced Algorithms for Neural Networks: A C++ Sourcebook
by
Timothy Masters (Goodreads Author)
3.80 avg rating — 10 ratings
score: 100,
and
1 person voted
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| 41 |
|
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: 100,
and
1 person voted
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| 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
Chris Frost (Goodreads Author)
it was amazing 5.00 avg rating — 2 ratings
score: 100,
and
1 person voted
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| 41 |
|
Cracking The Machine Learning Interview
by
Nitin Suri (Goodreads Author)
3.71 avg rating — 34 ratings
score: 100,
and
1 person voted
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| 41 |
|
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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| 41 |
|
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
score: 100,
and
1 person voted
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| 41 |
|
HumAIn: Navigating the Impact of AI in a Jobless Future
by
Amanda Gibbs (Goodreads Author)
it was amazing 5.00 avg rating — 1 rating
score: 100,
and
1 person voted
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| 48 |
|
Practical Neural Network Recipes in C++
by
Timothy Masters (Goodreads Author)
3.74 avg rating — 27 ratings
score: 99,
and
1 person voted
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| 48 |
|
Artificial Intelligence: A 60 Minute Guide
by
Steven Finlay (Goodreads Author)
4.23 avg rating — 22 ratings
score: 99,
and
1 person voted
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| 50 |
|
Assessing and Improving Prediction and Classification
by
Timothy Masters (Goodreads Author)
4.64 avg rating — 11 ratings
score: 98,
and
1 person voted
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| 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
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4.80 avg rating — 20 ratings
score: 98,
and
1 person voted
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| 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
by
4.80 avg rating — 20 ratings
score: 98,
and
1 person voted
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| 50 |
|
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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| 54 |
|
Neural and Adaptive Systems: Fundamentals through Simulations
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3.40 avg rating — 10 ratings
score: 97,
and
1 person voted
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| 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
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4.50 avg rating — 8 ratings
score: 97,
and
1 person voted
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| 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
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4.67 avg rating — 9 ratings
score: 96,
and
1 person voted
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| 57 |
|
Kernel Methods for Pattern Analysis
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3.96 avg rating — 28 ratings
score: 95,
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1 person voted
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| 57 |
|
Applied Predictive Modeling
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4.40 avg rating — 339 ratings
score: 95,
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1 person voted
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| 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
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it was amazing 5.00 avg rating — 3 ratings
score: 95,
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1 person voted
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| 60 |
|
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
score: 94,
and
1 person voted
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| 61 |
|
Machine Learning for Hackers
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3.73 avg rating — 407 ratings
score: 91,
and
1 person voted
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| 62 |
|
Machine Learning in Action
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3.78 avg rating — 240 ratings
score: 90,
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1 person voted
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| 63 |
|
C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning)
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3.33 avg rating — 6 ratings
score: 85,
and
1 person voted
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| 64 |
|
Introduction to Statistical Machine Learning
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3.40 avg rating — 5 ratings
score: 82,
and
1 person voted
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| 65 |
|
Encyclopedia of Machine Learning and Data Mining
by
Claude Sammut (Editor)
3.75 avg rating — 4 ratings
score: 81,
and
1 person voted
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| 66 |
|
An Introduction to Machine Learning
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3.64 avg rating — 14 ratings
score: 80,
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1 person voted
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| 67 |
|
A Compendium of Machine Learning I: Symbolic Learning (Ablex Series in Artificial Intelligence)
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4.33 avg rating — 3 ratings
score: 79,
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1 person voted
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| 68 |
|
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
score: 78,
and
1 person voted
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| 69 |
|
Machine Learning in Complex Networks
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2.50 avg rating — 2 ratings
score: 77,
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1 person voted
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| 70 |
|
Machine Learning with R Cookbook
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really liked it 4.00 avg rating — 2 ratings
score: 76,
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1 person voted
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| 71 |
|
Machine Learning with R
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4.20 avg rating — 311 ratings
score: 75,
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1 person voted
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| 72 |
|
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
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4.35 avg rating — 105 ratings
score: 74,
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1 person voted
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| 73 |
|
Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems
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really liked it 4.00 avg rating — 7 ratings
score: 72,
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1 person voted
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| 74 |
|
A First Course in Machine Learning
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3.96 avg rating — 26 ratings
score: 71,
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1 person voted
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| 75 |
|
MACHINE LEARNING FOR FINANCIAL ENGINEERING
by
László Györfi (Editor)
really liked it 4.00 avg rating — 7 ratings
score: 70,
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1 person voted
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| 76 |
|
MATLAB Machine Learning
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really liked it 4.00 avg rating — 3 ratings
score: 69,
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| 77 |
|
Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
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3.33 avg rating — 6 ratings
score: 68,
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1 person voted
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| 78 |
|
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
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3.62 avg rating — 21 ratings
score: 67,
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1 person voted
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| 79 |
|
Machine Learning: A Constraint-Based Approach
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4.50 avg rating — 2 ratings
score: 65,
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1 person voted
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| 80 |
|
Introduction To Pattern Recognition And Machine Learning (Iisc Lecture Notes Series Book 5)
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0.00 avg rating — 0 ratings
score: 64,
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1 person voted
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| 81 |
|
Machine Learning for Text
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4.10 avg rating — 10 ratings
score: 63,
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1 person voted
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| 82 |
|
Algorithmic Aspects of Machine Learning
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it was amazing 5.00 avg rating — 3 ratings
score: 62,
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1 person voted
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| 83 |
|
Scaling up Machine Learning: Parallel and Distributed Approaches
by
Ron Bekkerman (Editor)
really liked it 4.00 avg rating — 13 ratings
score: 61,
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1 person voted
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| 84 |
|
An Elementary Introduction to Statistical Learning Theory
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4.17 avg rating — 6 ratings
score: 56,
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1 person voted
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| 85 |
|
Statistical Mechanics of Learning
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liked it 3.00 avg rating — 2 ratings
score: 55,
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