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6 books
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2 voters
Data Science Books
Showing 1-50 of 4,910
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
by (shelved 253 times as data-science)
avg rating 4.13 — 2,643 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 — 8,129 ratings — published 2015
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 204 times as data-science)
avg rating 4.59 — 2,334 ratings — published 2013
Python for Data Analysis (Paperback)
by (shelved 194 times as data-science)
avg rating 4.17 — 2,443 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 — 52,382 ratings — published 2012
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
by (shelved 187 times as data-science)
avg rating 3.87 — 30,050 ratings — published 2016
Data Science from Scratch: First Principles with Python (ebook)
by (shelved 183 times as data-science)
avg rating 3.91 — 1,150 ratings — published 2015
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 179 times as data-science)
avg rating 4.43 — 1,886 ratings — published 2001
Naked Statistics: Stripping the Dread from the Data (Paperback)
by (shelved 177 times as data-science)
avg rating 3.96 — 15,159 ratings — published 2012
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 173 times as data-science)
avg rating 4.55 — 2,798 ratings — published 2017
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 — 42,576 ratings — published 2017
Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
by (shelved 135 times as data-science)
avg rating 4.29 — 671 ratings — published 2016
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
by (shelved 131 times as data-science)
avg rating 4.53 — 1,219 ratings — published 2016
The Art of Statistics: How to Learn from Data (Hardcover)
by (shelved 129 times as data-science)
avg rating 4.15 — 5,656 ratings — published 2019
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 128 times as data-science)
avg rating 4.02 — 541 ratings — published
Data Smart: Using Data Science to Transform Information into Insight (Paperback)
by (shelved 126 times as data-science)
avg rating 4.12 — 1,019 ratings — published 2013
Doing Data Science: Straight Talk from the Frontline (Paperback)
by (shelved 125 times as data-science)
avg rating 3.74 — 568 ratings — published 2013
The Visual Display of Quantitative Information (Hardcover)
by (shelved 113 times as data-science)
avg rating 4.39 — 8,665 ratings — published 1983
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 101 times as data-science)
avg rating 4.32 — 1,901 ratings — published
Deep Learning (ebook)
by (shelved 99 times as data-science)
avg rating 4.44 — 2,118 ratings — published 2016
Invisible Women: Data Bias in a World Designed for Men (Hardcover)
by (shelved 93 times as data-science)
avg rating 4.34 — 167,932 ratings — published 2019
How to Lie with Statistics (Paperback)
by (shelved 80 times as data-science)
avg rating 3.84 — 18,010 ratings — published 1954
Algorithms to Live By: The Computer Science of Human Decisions (Hardcover)
by (shelved 77 times as data-science)
avg rating 4.12 — 34,941 ratings — published 2016
Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
by (shelved 75 times as data-science)
avg rating 4.33 — 595 ratings — published 2015
Deep Learning with Python (Paperback)
by (shelved 73 times as data-science)
avg rating 4.57 — 1,397 ratings — published 2017
Designing Data-Intensive Applications (ebook)
by (shelved 73 times as data-science)
avg rating 4.70 — 10,551 ratings — published 2015
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 71 times as data-science)
avg rating 4.25 — 1,428 ratings — published
Superforecasting: The Art and Science of Prediction (Hardcover)
by (shelved 70 times as data-science)
avg rating 4.08 — 22,196 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
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (Paperback)
by (shelved 66 times as data-science)
avg rating 4.22 — 258 ratings — published
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 — 8,679 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 — 6,578 ratings — published 2018
Applied Predictive Modeling (Hardcover)
by (shelved 62 times as data-science)
avg rating 4.40 — 343 ratings — published 2013
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 — 8,260 ratings — published 2020
The Art of Data Science: A Guide for Anyone Who Works with Data (ebook)
by (shelved 58 times as data-science)
avg rating 3.71 — 297 ratings — published 2015
Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
by (shelved 56 times as data-science)
avg rating 4.11 — 8,213 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 — 12,472 ratings — published 2014
Think Stats (Paperback)
by (shelved 56 times as data-science)
avg rating 3.64 — 469 ratings — published 2011
Python Machine Learning (Paperback)
by (shelved 53 times as data-science)
avg rating 4.24 — 758 ratings — published 2015
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Hardcover)
by (shelved 51 times as data-science)
avg rating 3.74 — 6,456 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 — 313 ratings — published 2010
Machine Learning: A Probabilistic Perspective (Hardcover)
by (shelved 47 times as data-science)
avg rating 4.34 — 520 ratings — published
Forecasting: principles and practice (Paperback)
by (shelved 42 times as data-science)
avg rating 4.39 — 316 ratings — published 2013
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
by (shelved 41 times as data-science)
avg rating 4.45 — 1,017 ratings — published 2022
Mathematics for Machine Learning: 1st Edition (Kindle Edition)
by (shelved 41 times as data-science)
avg rating 4.33 — 247 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 4.36 — 201,648 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 — 619 ratings — published
Statistics Done Wrong: The Woefully Complete Guide (Paperback)
by (shelved 41 times as data-science)
avg rating 4.19 — 1,086 ratings — published 2013
Bayesian Data Analysis (Hardcover)
by (shelved 41 times as data-science)
avg rating 4.21 — 539 ratings — published 1995
Artificial Intelligence: A Modern Approach (Hardcover)
by (shelved 40 times as data-science)
avg rating 4.20 — 4,448 ratings — published 1994
“Protecting data is not just about preventing unauthorized access. It also involves ensuring data integrity and availability.”
― AI Horizons: Shaping a Better Future Through Responsible Innovation and Human Collaboration
― AI Horizons: Shaping a Better Future Through Responsible Innovation and Human Collaboration
“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
