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23 books
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25 voters
Data Science Books
Showing 1-50 of 4,652
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
by (shelved 252 times as data-science)
avg rating 4.13 — 2,624 ratings — published 2013
Storytelling with Data: A Data Visualization Guide for Business Professionals (Paperback)
by (shelved 217 times as data-science)
avg rating 4.39 — 8,003 ratings — published 2015
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 205 times as data-science)
avg rating 4.59 — 2,319 ratings — published 2013
Python for Data Analysis (Paperback)
by (shelved 192 times as data-science)
avg rating 4.17 — 2,431 ratings — published 2011
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
by (shelved 184 times as data-science)
avg rating 3.87 — 29,769 ratings — published 2016
Data Science from Scratch: First Principles with Python (ebook)
by (shelved 183 times as data-science)
avg rating 3.91 — 1,136 ratings — published 2015
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 180 times as data-science)
avg rating 4.43 — 1,880 ratings — published 2001
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 175 times as data-science)
avg rating 4.55 — 2,768 ratings — published 2017
Naked Statistics: Stripping the Dread from the Data (Paperback)
by (shelved 174 times as data-science)
avg rating 3.96 — 15,041 ratings — published 2012
Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
by (shelved 137 times as data-science)
avg rating 4.30 — 662 ratings — published 2016
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (Hardcover)
by (shelved 136 times as data-science)
avg rating 3.91 — 42,376 ratings — published 2017
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
by (shelved 131 times as data-science)
avg rating 4.54 — 1,209 ratings — published 2016
The Art of Statistics: How to Learn from Data (Hardcover)
by (shelved 129 times as data-science)
avg rating 4.15 — 5,554 ratings — published 2019
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 127 times as data-science)
avg rating 4.01 — 537 ratings — published
Data Smart: Using Data Science to Transform Information into Insight (Paperback)
by (shelved 126 times as data-science)
avg rating 4.12 — 1,015 ratings — published 2013
Doing Data Science: Straight Talk from the Frontline (Paperback)
by (shelved 123 times as data-science)
avg rating 3.74 — 570 ratings — published 2013
The Visual Display of Quantitative Information (Hardcover)
by (shelved 114 times as data-science)
avg rating 4.39 — 8,631 ratings — published 1983
Deep Learning (ebook)
by (shelved 101 times as data-science)
avg rating 4.44 — 2,105 ratings — published 2016
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 101 times as data-science)
avg rating 4.32 — 1,892 ratings — published
Invisible Women: Data Bias in a World Designed for Men (Hardcover)
by (shelved 93 times as data-science)
avg rating 4.34 — 164,123 ratings — published 2019
How to Lie with Statistics (Paperback)
by (shelved 78 times as data-science)
avg rating 3.84 — 17,860 ratings — published 1954
Algorithms to Live By: The Computer Science of Human Decisions (Hardcover)
by (shelved 76 times as data-science)
avg rating 4.13 — 34,633 ratings — published 2016
Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
by (shelved 74 times as data-science)
avg rating 4.33 — 589 ratings — published 2015
Deep Learning with Python (Paperback)
by (shelved 74 times as data-science)
avg rating 4.57 — 1,385 ratings — published 2017
Designing Data-Intensive Applications (ebook)
by (shelved 74 times as data-science)
avg rating 4.70 — 10,331 ratings — published 2015
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 70 times as data-science)
avg rating 4.25 — 1,407 ratings — published
Superforecasting: The Art and Science of Prediction (Hardcover)
by (shelved 70 times as data-science)
avg rating 4.08 — 21,990 ratings — published 2015
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Paperback)
by (shelved 65 times as data-science)
avg rating 3.67 — 2,120 ratings — published 2013
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (Paperback)
by (shelved 65 times as data-science)
avg rating 4.23 — 247 ratings — published
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Hardcover)
by (shelved 65 times as data-science)
avg rating 3.69 — 8,669 ratings — published 2013
Applied Predictive Modeling (Hardcover)
by (shelved 63 times as data-science)
avg rating 4.40 — 343 ratings — published 2013
The Book of Why: The New Science of Cause and Effect (Hardcover)
by (shelved 62 times as data-science)
avg rating 3.94 — 6,499 ratings — published 2018
The Art of Data Science: A Guide for Anyone Who Works with Data (ebook)
by (shelved 59 times as data-science)
avg rating 3.71 — 297 ratings — published 2015
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers (Paperback)
by (shelved 58 times as data-science)
avg rating 4.12 — 8,153 ratings — published 2020
Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
by (shelved 56 times as data-science)
avg rating 4.10 — 8,197 ratings — published 2013
Dataclysm: Who We Are (When We Think No One's Looking)
by (shelved 56 times as data-science)
avg rating 3.73 — 12,442 ratings — published 2014
Think Stats (Paperback)
by (shelved 56 times as data-science)
avg rating 3.64 — 466 ratings — published 2011
Python Machine Learning (Paperback)
by (shelved 54 times as data-science)
avg rating 4.25 — 755 ratings — published 2015
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Hardcover)
by (shelved 50 times as data-science)
avg rating 3.74 — 6,435 ratings — published 2015
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists (Paperback)
by (shelved 48 times as data-science)
avg rating 4.07 — 312 ratings — published 2010
Machine Learning: A Probabilistic Perspective (Hardcover)
by (shelved 47 times as data-science)
avg rating 4.34 — 519 ratings — published
Mathematics for Machine Learning: 1st Edition (Kindle Edition)
by (shelved 42 times as data-science)
avg rating 4.33 — 238 ratings — published
Forecasting: principles and practice (Paperback)
by (shelved 42 times as data-science)
avg rating 4.38 — 313 ratings — published 2013
Bayesian Data Analysis (Hardcover)
by (shelved 42 times as data-science)
avg rating 4.21 — 537 ratings — published 1995
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
by (shelved 41 times as data-science)
avg rating 4.46 — 977 ratings — published 2022
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think (Hardcover)
by (shelved 41 times as data-science)
avg rating 4.36 — 200,109 ratings — published 2018
Numsense! Data Science for the Layman: No Math Added (Kindle Edition)
by (shelved 41 times as data-science)
avg rating 4.14 — 616 ratings — published
Statistics Done Wrong: The Woefully Complete Guide (Paperback)
by (shelved 41 times as data-science)
avg rating 4.19 — 1,079 ratings — published 2013
Artificial Intelligence: A Modern Approach (Hardcover)
by (shelved 40 times as data-science)
avg rating 4.20 — 4,426 ratings — published 1994
The Model Thinker: What You Need to Know to Make Data Work for You (Hardcover)
by (shelved 40 times as data-science)
avg rating 3.92 — 938 ratings — published 2018
“Data is power.”
― Azad Earth Army: When The World Cries Blood
― Azad Earth Army: When The World Cries Blood
“Hacking described his research interest ‘in classifications of people, in how they affect the people classified, and how the affects on the people in turn change the classifications.’ Hacking labeled the subjects of these studies ‘moving targets’ because researchers’ investigatory efforts change them in ways so ‘they are not quite the same kind of people as before.”
― Queer Data: Using Gender, Sex and Sexuality Data for Action
― Queer Data: Using Gender, Sex and Sexuality Data for Action
