Computer Science, Machine Learning and Data Science

1.
Windows 11: 2021 Complete New OS User Guide. 33 Best Tips and Tricks to Master your PC
Windows 11: 2021 Complete New OS User Guide. 33 Best Tips and Tricks to Master your PC 4.45 avg rating — 40 ratings
2.
Introduction to Algorithms
Introduction to Algorithms 4.35 avg rating — 9,239 ratings
3.
An Introduction to Statistical Learning: with Applications in R
An Introduction to Statistical Learning: with Applications in R 4.59 avg rating — 2,296 ratings
4.
Pattern Recognition and Machine Learning
Pattern Recognition and Machine Learning 4.32 avg rating — 1,882 ratings
5.
The Algorithm Design Manual
The Algorithm Design Manual 4.34 avg rating — 2,669 ratings
6.
Machine Learning: A Probabilistic Perspective
Machine Learning: A Probabilistic Perspective 4.34 avg rating — 520 ratings
7.
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.
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. really liked it 4.00 avg rating — 172 ratings
8.
Learning From Data: A Short Course
Learning From Data: A Short Course 4.40 avg rating — 436 ratings
9.
Bayesian Data Analysis
Bayesian Data Analysis 4.21 avg rating — 537 ratings
10.
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking 4.13 avg rating — 2,587 ratings
10.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
The Elements of Statistical Learning: Data Mining, Inference, and Prediction 4.43 avg rating — 1,867 ratings
10.
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications 4.39 avg rating — 23 ratings
13.
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
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 4.80 avg rating — 20 ratings
14.
Probabilistic Graphical Models: Principles and Techniques
Probabilistic Graphical Models: Principles and Techniques 4.19 avg rating — 254 ratings
15.
Machine Learning in Action
Machine Learning in Action 3.78 avg rating — 240 ratings
15.
Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))
Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback)) 4.11 avg rating — 170 ratings
17.
Python Machine Learning
Python Machine Learning 4.24 avg rating — 749 ratings
18.
Scratch 2.0 Programming
Scratch 2.0 Programming 4.39 avg rating — 57 ratings
18.
The Math of Neural Networks
The Math of Neural Networks 4.17 avg rating — 110 ratings
20.
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining 4.28 avg rating — 32 ratings
21.
Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology
Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology 4.09 avg rating — 90 ratings
22.
Information Theory, Inference, and Learning Algorithms
Information Theory, Inference, and Learning Algorithms 4.52 avg rating — 481 ratings
23.
Foundations of Statistical Natural Language Processing
Foundations of Statistical Natural Language Processing 4.12 avg rating — 261 ratings
24.
Interactive Data Visualization for the Web: An Introduction to Designing with D3
Interactive Data Visualization for the Web: An Introduction to Designing with D3 4.09 avg rating — 535 ratings
25.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 4.55 avg rating — 2,709 ratings
26.
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs, Series Number 5)
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs, Series Number 5) 4.43 avg rating — 127 ratings
27.
Introduction to Computation and Programming Using Python
Introduction to Computation and Programming Using Python 4.23 avg rating — 493 ratings
27.
Mathematica Data Analysis
Mathematica Data Analysis 4.55 avg rating — 11 ratings
27.
Artificial Intelligence: A 60 Minute Guide
Artificial Intelligence: A 60 Minute Guide 4.23 avg rating — 22 ratings
27.
Taxonomy of the most commonly used Machine Learning Algorithms
Taxonomy of the most commonly used Machine Learning Algorithms 4.33 avg rating — 6 ratings
27.
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques 4.86 avg rating — 7 ratings
32.
Multiple Correspondence Analysis (Quantitative Applications in the Social Sciences Book 163)
Multiple Correspondence Analysis (Quantitative Applications in the Social Sciences Book 163) really liked it 4.00 avg rating — 4 ratings
32.
Scratch Programming Lab 01: Detailed step by step guide for middle school students.
Scratch Programming Lab 01: Detailed step by step guide for middle school students. 3.83 avg rating — 6 ratings
32.
Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees
Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees 3.93 avg rating — 148 ratings
32.
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies 4.12 avg rating — 203 ratings
32.
Cognitive Biases: A Brief Overview of Over 160 Cognitive Biases + Bonus Chapter: Algorithmic Bias
Cognitive Biases: A Brief Overview of Over 160 Cognitive Biases + Bonus Chapter: Algorithmic Bias 4.33 avg rating — 6 ratings
37.
Problem Solving With Algorithms And Data Structures Using Python
Problem Solving With Algorithms And Data Structures Using Python 4.11 avg rating — 205 ratings
38.
Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models 4.36 avg rating — 289 ratings
39.
Causality: Models, Reasoning, and Inference
Causality: Models, Reasoning, and Inference 4.16 avg rating — 324 ratings
40.
Designing Social Inquiry: Scientific Inference in Qualitative Research
Designing Social Inquiry: Scientific Inference in Qualitative Research
by: Gary King
3.50 avg rating — 413 ratings
41.
The Visual Display of Quantitative Information
The Visual Display of Quantitative Information 4.39 avg rating — 8,576 ratings
42.
Agile Data Science: Building Data Analytics Applications with Hadoop
Agile Data Science: Building Data Analytics Applications with Hadoop 3.33 avg rating — 73 ratings
43.
Pattern Classification
Pattern Classification 4.05 avg rating — 387 ratings