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9 books
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1 voter
Data Science Books
Showing 1-50 of 4,650
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 — 2,617 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 — 7,961 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 — 2,314 ratings — published 2013
Python for Data Analysis (Paperback)
by (shelved 193 times as data-science)
avg rating 4.17 — 2,426 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 — 29,668 ratings — published 2016
Data Science from Scratch: First Principles with Python (ebook)
by (shelved 184 times as data-science)
avg rating 3.91 — 1,134 ratings — published 2015
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 181 times as data-science)
avg rating 4.43 — 1,881 ratings — published 2001
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 177 times as data-science)
avg rating 4.55 — 2,754 ratings — published 2017
Naked Statistics: Stripping the Dread from the Data (Paperback)
by (shelved 175 times as data-science)
avg rating 3.96 — 15,010 ratings — published 2012
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (Hardcover)
by (shelved 137 times as data-science)
avg rating 3.91 — 42,321 ratings — published 2017
Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
by (shelved 136 times as data-science)
avg rating 4.30 — 661 ratings — published 2016
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
by (shelved 129 times as data-science)
avg rating 4.54 — 1,207 ratings — published 2016
The Art of Statistics: How to Learn from Data (Hardcover)
by (shelved 129 times as data-science)
avg rating 4.15 — 5,523 ratings — published 2019
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 127 times as data-science)
avg rating 4.02 — 531 ratings — published
Data Smart: Using Data Science to Transform Information into Insight (Paperback)
by (shelved 127 times as data-science)
avg rating 4.12 — 1,014 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 115 times as data-science)
avg rating 4.39 — 8,621 ratings — published 1983
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 103 times as data-science)
avg rating 4.32 — 1,892 ratings — published
Deep Learning (ebook)
by (shelved 102 times as data-science)
avg rating 4.44 — 2,096 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 — 162,950 ratings — published 2019
How to Lie with Statistics (Paperback)
by (shelved 78 times as data-science)
avg rating 3.84 — 17,806 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 — 34,533 ratings — published 2016
Deep Learning with Python (Paperback)
by (shelved 75 times as data-science)
avg rating 4.57 — 1,380 ratings — published 2017
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
Designing Data-Intensive Applications (ebook)
by (shelved 74 times as data-science)
avg rating 4.70 — 10,260 ratings — published 2015
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 70 times as data-science)
avg rating 4.25 — 1,403 ratings — published
Superforecasting: The Art and Science of Prediction (Hardcover)
by (shelved 69 times as data-science)
avg rating 4.08 — 21,942 ratings — published 2015
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Hardcover)
by (shelved 66 times as data-science)
avg rating 3.69 — 8,666 ratings — published 2013
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Paperback)
by (shelved 65 times as data-science)
avg rating 3.66 — 2,116 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 4.24 — 244 ratings — published
The Book of Why: The New Science of Cause and Effect (Hardcover)
by (shelved 63 times as data-science)
avg rating 3.94 — 6,492 ratings — published 2018
Applied Predictive Modeling (Hardcover)
by (shelved 63 times as data-science)
avg rating 4.40 — 342 ratings — published 2013
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 — 296 ratings — published 2015
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers (Paperback)
by (shelved 57 times as data-science)
avg rating 4.12 — 8,112 ratings — published 2020
Dataclysm: Who We Are (When We Think No One's Looking)
by (shelved 57 times as data-science)
avg rating 3.73 — 12,432 ratings — published 2014
Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
by (shelved 56 times as data-science)
avg rating 4.10 — 8,190 ratings — published 2013
Think Stats (Paperback)
by (shelved 56 times as data-science)
avg rating 3.64 — 466 ratings — published 2011
Python Machine Learning (Paperback)
by (shelved 55 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 51 times as data-science)
avg rating 3.74 — 6,426 ratings — published 2015
Machine Learning: A Probabilistic Perspective (Hardcover)
by (shelved 49 times as data-science)
avg rating 4.34 — 520 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 — 312 ratings — published 2010
Mathematics for Machine Learning: 1st Edition (Kindle Edition)
by (shelved 42 times as data-science)
avg rating 4.34 — 234 ratings — published
Statistics Done Wrong: The Woefully Complete Guide (Paperback)
by (shelved 42 times as data-science)
avg rating 4.19 — 1,078 ratings — published 2013
Bayesian Data Analysis (Hardcover)
by (shelved 42 times as data-science)
avg rating 4.21 — 537 ratings — published 1995
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 — 199,627 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 — 612 ratings — published
Forecasting: principles and practice (Paperback)
by (shelved 41 times as data-science)
avg rating 4.38 — 312 ratings — published 2013
Artificial Intelligence: A Modern Approach (Hardcover)
by (shelved 40 times as data-science)
avg rating 4.20 — 4,423 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 — 937 ratings — published 2018
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
by (shelved 39 times as data-science)
avg rating 4.46 — 961 ratings — published 2022
More lists...
“Machine learning modeling and testing on sample data and going through the business user acceptance test can surprise you!
And it will definitely make you to rethink on your feature selection and data sampling methods.”
― Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data : Illustrations with R & Python
And it will definitely make you to rethink on your feature selection and data sampling methods.”
― Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data : Illustrations with R & Python
“For me, data science is about more than just acquiring skills- it's a true passion.”
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