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Data Science Books Categories
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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
By:
Foster Provost
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Storytelling with Data: A Data Visualization Guide for Business Professionals (Paperback)
By:
Cole Nussbaumer Knaflic
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
By:
Gareth James
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The Signal and the Noise: Why So Many Predictions Fail—But Some Don't (Hardcover)
By:
Nate Silver
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Python for Data Analysis (Paperback)
By:
Wes McKinney
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
By:
Cathy O'Neil
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Naked Statistics: Stripping the Dread from the Data (Paperback)
By:
Charles Wheelan
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Data Science from Scratch: First Principles with Python (Kindle Edition)
By:
Joel Grus
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
By:
Trevor Hastie
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Hands-On Machine Learning with Scikit-Learn and TensorFlow (Kindle Edition)
By:
Aurélien Géron
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Data Smart: Using Data Science to Transform Information into Insight (Paperback)
By:
John W. Foreman
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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (Hardcover)
By:
Seth Stephens-Davidowitz
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Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
By:
Jake Vanderplas
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Doing Data Science: Straight Talk from the Frontline (Paperback)
By:
Cathy O'Neil
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Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
By:
Peter Bruce
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
By:
Hadley Wickham
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The Art of Statistics: How to Learn from Data (Hardcover)
By:
David Spiegelhalter
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The Visual Display of Quantitative Information, 2nd Ed. (Hardcover)
By:
Edward R. Tufte
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Deep Learning (ebook)
By:
Ian Goodfellow
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Pattern Recognition and Machine Learning (Information Science and Statistics)
By:
Christopher M. Bishop
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How to Lie with Statistics (Paperback)
By:
Darrell Huff
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Invisible Women: Data Bias in a World Designed for Men (Hardcover)
By:
Caroline Criado Pérez
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Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
By:
Andreas C. Müller
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Deep Learning with Python (Paperback)
By:
François Chollet
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Algorithms to Live By: The Computer Science of Human Decisions (Hardcover)
By:
Brian Christian
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Big Data: A Revolution That Will Transform How We Live, Work, and Think (Hardcover)
By:
Viktor Mayer-Schönberger
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Superforecasting: The Art and Science of Prediction (Hardcover)
By:
Philip E. Tetlock
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Designing Data-Intensive Applications (ebook)
By:
Martin Kleppmann
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Applied Predictive Modeling (Hardcover)
By:
Max Kuhn
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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Paperback)
By:
Eric Siegel
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The Hundred-Page Machine Learning Book (Paperback)
By:
Andriy Burkov
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The Book of Why: The New Science of Cause and Effect (Hardcover)
By:
Judea Pearl
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Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
By:
Alistair Croll
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Dataclysm: Who We Are (When We Think No One's Looking)
By:
Christian Rudder
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (Paperback)
By:
Peter Bruce
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The Art of Data Science: A Guide for Anyone Who Works with Data (ebook)
By:
Roger D. Peng
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Think Stats (Paperback)
By:
Allen B. Downey
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Python Machine Learning (Paperback)
By:
Sebastian Raschka
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Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists (Paperback)
By:
Philipp K. Janert
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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Hardcover)
By:
Pedro Domingos
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How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers (Paperback)
By:
Tim Harford
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Machine Learning: A Probabilistic Perspective (Hardcover)
By:
Kevin P. Murphy
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Truthful Art, The: Data, Charts, and Maps for Communication (Voices That Matter)
By:
Alberto Cairo
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Statistics Done Wrong: The Woefully Complete Guide (Paperback)
By:
Alex Reinhart
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The Model Thinker: What You Need to Know to Make Data Work for You (Hardcover)
By:
Scott E. Page
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Numsense! Data Science for the Layman: No Math Added (Kindle Edition)
By:
Annalyn Ng
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Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit (Paperback)
By:
Steven Bird
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How Not to Be Wrong: The Power of Mathematical Thinking (Hardcover)
By:
Jordan Ellenberg