Top Data Science Books

by | Aug 18, 2023

Best Books

Top Data Sci + ML Books

Massive pile of books in a warehouse with a computer

Data Science and Machine Learning can be overwhelming! Gain stability navigating through this ever-changing landscape with the following recommended reads.

+Please add other book suggestions below in the comments.

#1 Automating Inequality: How High Tech Tools Profile, Police and Punish the Poor by Virginia Eubanks


#2 Natural Language Processing with Transformers by Lewis Tunstall, Leandro von Werra & Thomas Wolf

#3 Deep Learning with Python by François Chollet

#4 Naked Statistics by Charles Wheelan

#5 Weapons of Math Destruction by Cathy O’Neil

#6 Generative Deep learning by David Foster

#7 The Pattern On The Stone by W. Daniel Hillis

#8 The Book of Why by Dana Mackenzie and Judea Pearl

#9 Thinking, Fast and Slow by Daniel Kahneman

#10 Practical Statistics for Data Scientists by Peter Bruce, Andrew Bruce & Peter Gedeck

#11 Python for Data Analysis by Wes McKinney

#12 Algorithms of Oppression by Safiya Noble

#13 Hands-On Machine Learning with Scikit-Learn, Keras and Tensorflow

#14 Thinking in Systems by Donella H. Meadows

#15 The Manga Guide to Regression Analysis by Shin Takahashi

#16 Data Visualisation (2nd Edition) by Andy Krik

#17 The Age of Surveillance Capitalism by Shoshana Zuboff

#18 Interactive Data Visualization for the Web by Scott Murray

#19 The Better Angels of Our Nature by Steven Pinker

#21 Resisting AI by Dan McQuillan

#22 Enchantress of Numbers by Jennifer Chiavernini

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