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Computer Science, Machine Learning and Data Science
Textbooks I've seen recommended a lot
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| 1 |
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Windows 11: 2021 Complete New OS User Guide. 33 Best Tips and Tricks to Master your PC
by
Allan Farington (Goodreads Author)
4.45 avg rating — 40 ratings
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| 2 |
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Introduction to Algorithms
by
4.35 avg rating — 9,249 ratings
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| 3 |
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An Introduction to Statistical Learning: with Applications in R
by
4.59 avg rating — 2,308 ratings
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| 4 |
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Pattern Recognition and Machine Learning
by
4.32 avg rating — 1,889 ratings
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| 5 |
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The Algorithm Design Manual
by
Steven S. Skiena (Goodreads Author)
4.34 avg rating — 2,671 ratings
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| 6 |
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Machine Learning: A Probabilistic Perspective
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4.34 avg rating — 520 ratings
score: 885,
and
9 people voted
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| 7 |
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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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really liked it 4.00 avg rating — 174 ratings
score: 500,
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5 people voted
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| 8 |
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Learning From Data: A Short Course
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4.40 avg rating — 436 ratings
score: 493,
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5 people voted
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| 9 |
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Bayesian Data Analysis
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4.21 avg rating — 536 ratings
score: 481,
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5 people voted
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| 10 |
|
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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4.13 avg rating — 2,602 ratings
score: 397,
and
4 people voted
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| 10 |
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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
score: 397,
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4 people voted
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| 10 |
|
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: 397,
and
4 people voted
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| 13 |
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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
score: 291,
and
3 people voted
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| 14 |
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Probabilistic Graphical Models: Principles and Techniques
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4.19 avg rating — 257 ratings
score: 285,
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3 people voted
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| 15 |
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Machine Learning in Action
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3.78 avg rating — 240 ratings
score: 280,
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3 people voted
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| 15 |
|
Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))
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4.11 avg rating — 170 ratings
score: 280,
and
3 people voted
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| 17 |
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Python Machine Learning
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4.25 avg rating — 756 ratings
score: 270,
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3 people voted
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| 18 |
|
Scratch 2.0 Programming
by
Denis Golikov (Goodreads Author)
4.39 avg rating — 57 ratings
score: 200,
and
2 people voted
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| 18 |
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The Math of Neural Networks
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4.17 avg rating — 110 ratings
score: 200,
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2 people voted
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| 20 |
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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
score: 198,
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2 people voted
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| 21 |
|
Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology
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4.09 avg rating — 90 ratings
score: 195,
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2 people voted
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| 22 |
|
Information Theory, Inference, and Learning Algorithms
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4.52 avg rating — 487 ratings
score: 187,
and
2 people voted
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| 23 |
|
Foundations of Statistical Natural Language Processing
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4.12 avg rating — 262 ratings
score: 184,
and
2 people voted
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| 24 |
|
Interactive Data Visualization for the Web: An Introduction to Designing with D3
by
4.09 avg rating — 535 ratings
score: 183,
and
2 people voted
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| 25 |
|
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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4.55 avg rating — 2,741 ratings
score: 178,
and
2 people voted
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| 26 |
|
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs, Series Number 5)
by
4.41 avg rating — 128 ratings
score: 176,
and
2 people voted
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| 27 |
|
Introduction to Computation and Programming Using Python
by
4.22 avg rating — 494 ratings
score: 100,
and
1 person voted
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| 27 |
|
Mathematica Data Analysis
by
Sergiy Suchok (Goodreads Author)
4.55 avg rating — 11 ratings
score: 100,
and
1 person voted
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| 27 |
|
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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| 27 |
|
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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| 27 |
|
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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| 32 |
|
Multiple Correspondence Analysis (Quantitative Applications in the Social Sciences Book 163)
by
really liked it 4.00 avg rating — 4 ratings
score: 99,
and
1 person voted
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| 32 |
|
Scratch Programming Lab 01: Detailed step by step guide for middle school students.
by
Denis Golikov (Goodreads Author)
3.83 avg rating — 6 ratings
score: 99,
and
1 person voted
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| 32 |
|
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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| 32 |
|
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: 99,
and
1 person voted
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| 32 |
|
Cognitive Biases: A Brief Overview of Over 160 Cognitive Biases + Bonus Chapter: Algorithmic Bias
by
Murat Durmus (Goodreads Author)
4.33 avg rating — 6 ratings
score: 99,
and
1 person voted
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| 37 |
|
Problem Solving With Algorithms And Data Structures Using Python
by
4.12 avg rating — 204 ratings
score: 97,
and
1 person voted
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| 38 |
|
Data Analysis Using Regression and Multilevel/Hierarchical Models
by
4.36 avg rating — 290 ratings
score: 92,
and
1 person voted
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| 39 |
|
Causality: Models, Reasoning, and Inference
by
4.17 avg rating — 327 ratings
score: 90,
and
1 person voted
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| 40 |
|
Designing Social Inquiry: Scientific Inference in Qualitative Research
by
3.50 avg rating — 414 ratings
score: 89,
and
1 person voted
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| 41 |
|
The Visual Display of Quantitative Information
by
4.39 avg rating — 8,604 ratings
score: 85,
and
1 person voted
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| 42 |
|
Agile Data Science: Building Data Analytics Applications with Hadoop
by
3.33 avg rating — 73 ratings
score: 83,
and
1 person voted
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| 43 |
|
Pattern Classification
by
4.05 avg rating — 388 ratings
score: 82,
and
1 person voted
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