1 |
|
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
by
3.97 avg rating — 52,040 ratings
|
|
2 |
|
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by
4.43 avg rating — 1,874 ratings
|
|
3 |
|
Moneyball
by
4.27 avg rating — 142,287 ratings
|
|
4 |
|
The Visual Display of Quantitative Information
by
4.39 avg rating — 8,605 ratings
|
|
5 |
|
An Introduction to Statistical Learning: with Applications in R
by
4.59 avg rating — 2,309 ratings
|
|
6 |
|
Doing Data Science: Straight Talk from the Frontline
by
3.74 avg rating — 570 ratings
|
|
7 |
|
Invisible Women: Data Bias in a World Designed for Men
by
4.34 avg rating — 159,988 ratings
|
|
8 |
|
Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart
by
3.72 avg rating — 5,983 ratings
|
|
9 |
|
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
by
3.87 avg rating — 29,505 ratings
|
|
10 |
|
Dataclysm: Who We Are (When We Think No One's Looking)
by
3.73 avg rating — 12,409 ratings
|
|
11 |
|
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.
by
really liked it 4.00 avg rating — 174 ratings
|
|
12 |
|
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
by
4.13 avg rating — 2,605 ratings
|
|
13 |
|
How to Lie with Statistics
by
3.84 avg rating — 17,692 ratings
|
|
14 |
|
The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations
by
3.82 avg rating — 24,658 ratings
|
|
15 |
|
More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech
by
4.15 avg rating — 453 ratings
|
|
16 |
|
Superforecasting: The Art and Science of Prediction
by
4.08 avg rating — 21,797 ratings
|
|
17 |
|
Naked Statistics: Stripping the Dread from the Data
by
3.96 avg rating — 14,919 ratings
|
|
18 |
|
The Functional Art: An introduction to information graphics and visualization
by
4.19 avg rating — 811 ratings
|
|
19 |
|
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
by
3.91 avg rating — 42,184 ratings
|
|
20 |
|
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
by
4.06 avg rating — 231 ratings
|
|
21 |
|
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
by
3.66 avg rating — 2,105 ratings
|
|
22 |
|
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
by
3.88 avg rating — 1,181 ratings
|
|
23 |
|
Bayesian Data Analysis
by
4.21 avg rating — 536 ratings
|
|
24 |
|
Beautiful Data: The Stories Behind Elegant Data Solutions (Theory In Practice, #31)
by
3.67 avg rating — 258 ratings
|
|
25 |
|
Quiet: The Power of Introverts in a World That Can't Stop Talking
by
4.08 avg rating — 468,228 ratings
|
|
26 |
|
Advanced R (Chapman & Hall/CRC The R Series)
by
4.56 avg rating — 314 ratings
|
|
27 |
|
Algorithms to Live By: The Computer Science of Human Decisions
by
4.13 avg rating — 34,330 ratings
|
|
28 |
|
Data Smart: Using Data Science to Transform Information into Insight
by
4.12 avg rating — 1,014 ratings
|
|
29 |
|
An Introduction to Applied Multivariate Analysis with R
by
3.93 avg rating — 29 ratings
|
|
30 |
|
R in Action
by
4.20 avg rating — 265 ratings
|
|
31 |
|
Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by
3.80 avg rating — 87 ratings
|
|
31 |
|
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
by
4.07 avg rating — 312 ratings
|
|
33 |
|
Multivariate Data Analysis
by
4.10 avg rating — 178 ratings
|
|
34 |
|
Competing on Analytics
by
3.69 avg rating — 1,596 ratings
|
|
35 |
|
The R Book
by
4.13 avg rating — 137 ratings
|
|
36 |
|
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
by
4.39 avg rating — 23 ratings
|
|
37 |
|
R Programming for Data Science
by
3.61 avg rating — 170 ratings
|
|
38 |
|
Introduction to Data Mining
by
3.97 avg rating — 369 ratings
|
|
39 |
|
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
by
4.54 avg rating — 1,199 ratings
|
|
40 |
|
Statistics in Plain English
by
3.86 avg rating — 359 ratings
|
|
41 |
|
Machine Learning for Hackers
by
3.73 avg rating — 407 ratings
|
|
42 |
|
The Art of Data Science: A Guide for Anyone Who Works with Data
by
3.71 avg rating — 296 ratings
|
|
43 |
|
Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
by
3.73 avg rating — 373 ratings
|
|
44 |
|
The Misbehavior of Markets: A Fractal View of Financial Turbulence
by
4.09 avg rating — 6,027 ratings
|
|
45 |
|
Machine Learning: A Probabilistic Perspective
by
4.34 avg rating — 521 ratings
|
|
46 |
|
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
by
4.11 avg rating — 656 ratings
|
|
46 |
|
The Hundred-Page Machine Learning Book
by
4.25 avg rating — 1,393 ratings
|
|
46 |
|
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
|
|
49 |
|
Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity
by
4.13 avg rating — 1,523 ratings
|
|
49 |
|
Big Data: A Revolution That Will Transform How We Live, Work, and Think
by
3.69 avg rating — 8,663 ratings
|
|
49 |
|
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
|
|
52 |
|
Machine Learning in Action
by
3.78 avg rating — 240 ratings
|
|
53 |
|
Learning Spark: Lightning-Fast Big Data Analysis
by
3.91 avg rating — 566 ratings
|
|
54 |
|
Python Data Science Cookbook
by
3.71 avg rating — 14 ratings
|
|
55 |
|
The Basics of Data Literacy: Helping Your Students (And You!) Make Sense of Data - PB343X
by
4.39 avg rating — 18 ratings
|
|
56 |
|
Foundations of Applied Statistical Methods
by
4.50 avg rating — 2 ratings
|
|
57 |
|
Hadoop in Action
by
3.66 avg rating — 115 ratings
|
|
58 |
|
Analytics at Work: Smarter Decisions, Better Results
by
3.53 avg rating — 369 ratings
|
|
59 |
|
Beautiful Visualization: Looking at Data through the Eyes of Experts
by
3.82 avg rating — 241 ratings
|
|
60 |
|
Data Analysis Using Regression and Multilevel/Hierarchical Models
by
4.36 avg rating — 290 ratings
|
|
61 |
|
What is a P-Value Anyway? 34 Stories to Help You Actually Understand Statistics
by
3.92 avg rating — 235 ratings
|
|
62 |
|
Guesstimation: Solving the World's Problems on the Back of a Cocktail Napkin
by
3.74 avg rating — 424 ratings
|
|
63 |
|
Introduction to Data Mining (2nd Edition) (What's New in Computer Science)
by
3.97 avg rating — 369 ratings
|
|
63 |
|
Humanizing Big Data: Marketing at the Meeting of Data, Social Science & Consumer Insight
by
3.84 avg rating — 44 ratings
|
|
63 |
|
Proactive Data Mining with Decision Trees
by
3.40 avg rating — 5 ratings
|
|
63 |
|
Business Analytics for Managers
by
3.86 avg rating — 21 ratings
|
|
63 |
|
Mathematica Data Analysis
by
4.55 avg rating — 11 ratings
|
|
63 |
|
Macroanalysis: Digital Methods and Literary History
by
3.95 avg rating — 110 ratings
|
|
63 |
|
The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century
by
3.92 avg rating — 1,990 ratings
|
|
63 |
|
Think Like a Data Scientist: Tackle the data science process step-by-step
by
3.79 avg rating — 94 ratings
|
|
63 |
|
Learn Python Programming the Easy and Fun Way
by
3.33 avg rating — 3 ratings
|
|
63 |
|
The Math of Neural Networks
by
4.17 avg rating — 110 ratings
|
|
63 |
|
Compassionate Artificial Superintelligence AI 5.0
by
4.73 avg rating — 51 ratings
|
|
63 |
|
This Is Not an Atlas: A Global Collection of Counter-Cartographies
by
4.33 avg rating — 12 ratings
|
|
63 |
|
A Human's Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control
by
3.85 avg rating — 445 ratings
|
|
63 |
|
All of Statistics: A Concise Course in Statistical Inference
by
4.26 avg rating — 388 ratings
|
|
63 |
|
Say It With Charts: The Executive's Guide to Visual Communication
by
3.83 avg rating — 485 ratings
|
|
63 |
|
Artificial Intelligence: A 60 Minute Guide
by
4.23 avg rating — 22 ratings
|
|
63 |
|
The Essence of Artificial Intelligence: The Essence of Artificial Intelligence
by
3.47 avg rating — 51 ratings
|
|
63 |
|
Big Data in Omics and Imaging: Association Analysis
by
really liked it 4.00 avg rating — 2 ratings
|
|
63 |
|
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
by
4.25 avg rating — 16 ratings
|
|
63 |
|
Taxonomy of the most commonly used Machine Learning Algorithms
by
4.33 avg rating — 6 ratings
|
|
63 |
|
The Data Garden And Other Data Allegories : The World’s First Book of Data Allegories: 6 Lessons in Effective Data Management
by
3.83 avg rating — 6 ratings
|
|
63 |
|
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
by
4.86 avg rating — 7 ratings
|
|
85 |
|
Multiple Correspondence Analysis (Quantitative Applications in the Social Sciences Book 163)
by
really liked it 4.00 avg rating — 4 ratings
|
|
85 |
|
Learning JavaScript
by
3.32 avg rating — 142 ratings
|
|
85 |
|
Bayes' Theorem Examples: A Visual Introduction For Beginners
by
3.90 avg rating — 817 ratings
|
|
85 |
|
Hello World: Being Human in the Age of Algorithms
by
4.11 avg rating — 11,566 ratings
|
|
85 |
|
Python for Data Analysis
by
4.17 avg rating — 2,420 ratings
|
|
85 |
|
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference (Chapman & Hall/CRC Computational Biology Series)
by
liked it 3.00 avg rating — 3 ratings
|
|
85 |
|
Understanding Artificial Intelligence: A Concise Introduction
by
4.33 avg rating — 3 ratings
|
|
85 |
|
Cognitive Biases: A Brief Overview of Over 160 Cognitive Biases + Bonus Chapter: Algorithmic Bias
by
4.33 avg rating — 6 ratings
|
|
93 |
|
JavaScript: The Good Parts
by
4.23 avg rating — 8,660 ratings
|
|
93 |
|
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
|
|
93 |
|
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
by
4.12 avg rating — 203 ratings
|
|
96 |
|
Truthful Art, The: Data, Charts, and Maps for Communication
by
4.26 avg rating — 413 ratings
|
|
96 |
|
C Programming for the Absolute Beginner
by
3.68 avg rating — 22 ratings
|
|
96 |
|
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
by
4.55 avg rating — 2,742 ratings
|
|
99 |
|
JavaScript: The Definitive Guide
by
4.07 avg rating — 3,382 ratings
|
|
99 |
|
Working with Coders: A Guide to Software Development for the Perplexed Non-Techie
by
really liked it 4.00 avg rating — 62 ratings
|
|