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36 books
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9 voters
Data Science Books
Showing 1-50 of 5,153
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
by (shelved 250 times as data-science)
avg rating 4.13 — 2,678 ratings — published 2013
Storytelling with Data: A Data Visualization Guide for Business Professionals (Paperback)
by (shelved 224 times as data-science)
avg rating 4.38 — 8,434 ratings — published 2015
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 202 times as data-science)
avg rating 4.59 — 2,359 ratings — published 2013
Python for Data Analysis (Paperback)
by (shelved 199 times as data-science)
avg rating 4.17 — 2,472 ratings — published 2011
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't (Hardcover)
by (shelved 188 times as data-science)
avg rating 3.97 — 52,875 ratings — published 2012
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
by (shelved 188 times as data-science)
avg rating 3.87 — 30,692 ratings — published 2016
Data Science from Scratch: First Principles with Python (ebook)
by (shelved 182 times as data-science)
avg rating 3.90 — 1,160 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 — 1,907 ratings — published 2001
Naked Statistics: Stripping the Dread from the Data (Paperback)
by (shelved 176 times as data-science)
avg rating 3.95 — 15,368 ratings — published 2012
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 175 times as data-science)
avg rating 4.55 — 2,849 ratings — published 2017
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (Hardcover)
by (shelved 135 times as data-science)
avg rating 3.90 — 43,044 ratings — published 2017
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
by (shelved 133 times as data-science)
avg rating 4.52 — 1,240 ratings — published 2016
Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
by (shelved 133 times as data-science)
avg rating 4.30 — 678 ratings — published 2016
The Art of Statistics: How to Learn from Data (Hardcover)
by (shelved 130 times as data-science)
avg rating 4.15 — 5,862 ratings — published 2019
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 129 times as data-science)
avg rating 4.02 — 547 ratings — published
Data Smart: Using Data Science to Transform Information into Insight (Paperback)
by (shelved 127 times as data-science)
avg rating 4.12 — 1,020 ratings — published 2013
Doing Data Science: Straight Talk from the Frontline (Paperback)
by (shelved 125 times as data-science)
avg rating 3.73 — 568 ratings — published 2013
The Visual Display of Quantitative Information (Hardcover)
by (shelved 115 times as data-science)
avg rating 4.39 — 8,739 ratings — published 1983
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 101 times as data-science)
avg rating 4.32 — 1,914 ratings — published
Deep Learning (ebook)
by (shelved 98 times as data-science)
avg rating 4.43 — 2,157 ratings — published 2016
Invisible Women: Data Bias in a World Designed for Men (Hardcover)
by (shelved 95 times as data-science)
avg rating 4.33 — 177,517 ratings — published 2019
How to Lie with Statistics (Paperback)
by (shelved 83 times as data-science)
avg rating 3.84 — 18,421 ratings — published 1954
Algorithms to Live By: The Computer Science of Human Decisions (Hardcover)
by (shelved 76 times as data-science)
avg rating 4.12 — 35,697 ratings — published 2016
Designing Data-Intensive Applications (ebook)
by (shelved 76 times as data-science)
avg rating 4.69 — 10,952 ratings — published 2015
Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
by (shelved 75 times as data-science)
avg rating 4.33 — 603 ratings — published 2015
Deep Learning with Python (Paperback)
by (shelved 74 times as data-science)
avg rating 4.57 — 1,433 ratings — published 2017
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 72 times as data-science)
avg rating 4.25 — 1,477 ratings — published
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (Paperback)
by (shelved 69 times as data-science)
avg rating 4.21 — 261 ratings — published
Superforecasting: The Art and Science of Prediction (Hardcover)
by (shelved 69 times as data-science)
avg rating 4.08 — 22,753 ratings — published 2015
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Paperback)
by (shelved 66 times as data-science)
avg rating 3.66 — 2,125 ratings — published 2013
The Book of Why: The New Science of Cause and Effect (Hardcover)
by (shelved 65 times as data-science)
avg rating 3.93 — 6,742 ratings — published 2018
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Hardcover)
by (shelved 64 times as data-science)
avg rating 3.69 — 8,689 ratings — published 2013
Applied Predictive Modeling (Hardcover)
by (shelved 61 times as data-science)
avg rating 4.40 — 345 ratings — published 2013
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers (Paperback)
by (shelved 59 times as data-science)
avg rating 4.11 — 8,464 ratings — published 2020
The Art of Data Science: A Guide for Anyone Who Works with Data (ebook)
by (shelved 59 times as data-science)
avg rating 3.70 — 300 ratings — published 2015
Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
by (shelved 57 times as data-science)
avg rating 4.11 — 8,241 ratings — published 2013
Think Stats (Paperback)
by (shelved 57 times as data-science)
avg rating 3.65 — 466 ratings — published 2011
Dataclysm: Who We Are (When We Think No One's Looking)
by (shelved 55 times as data-science)
avg rating 3.73 — 12,519 ratings — published 2014
Python Machine Learning (Paperback)
by (shelved 54 times as data-science)
avg rating 4.24 — 760 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 3.73 — 6,519 ratings — published 2015
Machine Learning: A Probabilistic Perspective (Hardcover)
by (shelved 48 times as data-science)
avg rating 4.34 — 522 ratings — published
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 — 313 ratings — published 2010
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
by (shelved 42 times as data-science)
avg rating 4.44 — 1,143 ratings — published 2022
Forecasting: principles and practice (Paperback)
by (shelved 42 times as data-science)
avg rating 4.39 — 319 ratings — published 2013
Mathematics for Machine Learning: 1st Edition (Kindle Edition)
by (shelved 41 times as data-science)
avg rating 4.32 — 265 ratings — published
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 4.35 — 205,008 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 — 624 ratings — published
Statistics Done Wrong: The Woefully Complete Guide (Paperback)
by (shelved 41 times as data-science)
avg rating 4.19 — 1,098 ratings — published 2013
Bayesian Data Analysis (Hardcover)
by (shelved 41 times as data-science)
avg rating 4.21 — 541 ratings — published 1995
Artificial Intelligence: A Modern Approach (Hardcover)
by (shelved 39 times as data-science)
avg rating 4.21 — 4,481 ratings — published 1994
“When working with data, I discover what I really want to say.”
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“You don’t train a neural network. You let it struggle, fail, adapt, and repeat—until its failures look like intelligence.”
― NEURAL NETWORKS AND DEEP LEARNING WITH PYTHON A PRACTICAL APPROACH
― NEURAL NETWORKS AND DEEP LEARNING WITH PYTHON A PRACTICAL APPROACH
