7 must-read mathematics books like Practical Linear Algebra for Data Science by Mike X. Cohen

Cover of Practical Linear Algebra for Data Science by Mike X. Cohen

Practical Linear Algebra for Data Science

By: Mike X. Cohen

4.36

Format: 372 pages, Kindle Edition

If you want to work in any computational or technical field, you need to understand linear algebra.…

If you liked the mathematics plot in Practical Linear Algebra for Data Science by Mike X. Cohen , here is a list of 7 books like this:

Cover of Python for Data Analysis by Wes McKinney

1. Python for Data Analysis

By: Wes McKinney

4.17

Format: 400 pages, Paperback

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning… read more

Similar categories in Wes McKinney's Python for Data Analysis book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
  • programming
Cover of Think Bayes: Bayesian Statistics in Python by Allen B. Downey

2. Think Bayes: Bayesian Statistics in Python

By: Allen B. Downey

3.91

Format: 214 pages, Kindle Edition

If you know how to program with Python and also know a little about probability, you’re ready to ta… read more

Similar categories in Allen B. Downey's Think Bayes: Bayesian Statistics in Python book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • mathematics
  • nonfiction
  • programming
Cover of The Structure of Scientific Revolutions by Thomas S. Kuhn

3. The Structure of Scientific Revolutions

By: Thomas S. Kuhn

4.09

Format: 116 pages, Paperback

Thomas S. Kuhn's classic book is now available with a new index. "A landmark in intellectual histor… read more

Similar categories in Thomas S. Kuhn's The Structure of Scientific Revolutions book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction

4. Linear Algebra Done Right

By: Sheldon Axler

3.73

Format: None pages, Paperback

This text for a second course in linear algebra is aimed at math majors and graduate students. The … read more

Similar categories in Sheldon Axler's Linear Algebra Done Right book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • mathematics
  • nonfiction

5. Statistics Done Wrong: The Woefully Complete Guide

By: Alex Reinhart

3.90

Format: 216 pages, Paperback

Everyone knows that abuse of statistics is rampant in popular media. Politicians and marketers pres… read more

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6. The Pleasure of Finding Things Out: The Best Short Works of Richard P. Feynman

By: Richard P. Feynman , Freeman Dyson , Jeffrey Robbins

3.64

Format: 320 pages, Paperback

The Pleasure of Finding Things Outis a magnificent treasury of the best short works of Richard P. F… read more

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7. Designing Data-Intensive Applications

By: None

4.62

Format: None pages, ebook

read more

Similar categories in None's Designing Data-Intensive Applications book and Mike X. Cohen's Practical Linear Algebra for Data Science

8. The Doors of Perception & Heaven and Hell

By: Aldous Huxley

2.83

Format: None pages, Paperback

As only he can, Aldous Huxley explores the mind's remote frontiers and the unmapped areas of human … read more

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9. The Theoretical Minimum: What You Need to Know to Start Doing Physics (Theoretical Minimum #1)

By: Leonard Susskind , George Hrabovsky

4.00

Format: 258 pages, Hardcover

A Wall Street JournalBest Book of 2013 A world-class physicist and a citizen scientist combine forc… read more

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Cover of Elon Musk by Walter Isaacson

10. Elon Musk

By: Walter Isaacson

4.40

Format: 688 pages, Hardcover

From the author of Steve Jobs and other bestselling biographies, this is the astonishingly intimate… read more

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  • nonfiction
"[Musk] concluded that Trump as president was no different than he was as a candidate. The buffoonery was not just an act. "Trump might be one of the world’s best bullshitters ever," he says. "Like my…"

-Walter Isaacson, Elon Musk

Cover of Profiles in Ignorance: How America's Politicians Got Dumb and Dumber by Andy Borowitz

11. Profiles in Ignorance: How America's Politicians Got Dumb and Dumber

By: Andy Borowitz

4.35

Format: 320 pages, Hardcover

Andy Borowitz, “one of the funniest people in America” (CBS Sunday Morning), brilliantly examines t… read more

Similar categories in Andy Borowitz's Profiles in Ignorance: How America's Politicians Got Dumb and Dumber book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
"Imagine a hypothetical job applicant. He can't spell the simplest words, such as "heal" and "tap". Confused by geography, he thinks there's an African country called "Nambia". As for American history…"

-Andy Borowitz, Profiles in Ignorance: How America's Politicians Got Dumb and Dumber

Cover of Beyond the Wall: East Germany, 1949-1990 by Katja Hoyer

12. Beyond the Wall: East Germany, 1949-1990

By: Katja Hoyer

4.23

Format: 496 pages, Hardcover

In 1990, a country disappeared. When the Iron Curtain fell, East Germany simply ceased to be. For o… read more

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  • nonfiction
"Some of the “songs"

-Katja Hoyer, Beyond the Wall: East Germany, 1949-1990

"Anti-Fascist Protection Rampart,"

-Katja Hoyer, Beyond the Wall: East Germany, 1949-1990

"From 1971, the rates paid were means-tested, allowing working class families with children privileged access. A four-person household in West Germany spent around 21 percent of their net income on re…"

-Katja Hoyer, Beyond the Wall: East Germany, 1949-1990

"In other fields too, female ambition had become the norm. By 1988, over 90% of East German women fought their own battles in the workplace. The GDR had reached the highest rate of female employment i…"

-Katja Hoyer, Beyond the Wall: East Germany, 1949-1990

Cover of The Art of Statistics: How to Learn from Data by David Spiegelhalter

13. The Art of Statistics: How to Learn from Data

By: David Spiegelhalter

4.17

Format: 448 pages, Hardcover

In this "important and comprehensive" guide to statistical thinking ( New Yorker ), discover how da… read more

Similar categories in David Spiegelhalter's The Art of Statistics: How to Learn from Data book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • mathematics
  • nonfiction
"this book is part of what could be called a new wave in statistics teaching, in which formal probability theory as a basis for statistical inference does not come in till much later"

-David Spiegelhalter, The Art of Statistics: How to Learn from Data

"[Adolphe Quetelet] developed the idea of 'social physics', since the regularity of societal statistics seemed to reflect an almost mechanistic underlying process. Just as the random molecules of a ga…"

-David Spiegelhalter, The Art of Statistics: How to Learn from Data

"We have seen the problems that result when researchers only report significant findings, but perhaps more important are the conscious or unconscious set of minor decisions that might be made by the r…"

-David Spiegelhalter, The Art of Statistics: How to Learn from Data

"When the CERN teams reported a 'five-sigma' result for the Higgs boson, corresponding to a P-value of around 1 in 3.5 million, the BBC reported the conclusion correctly, saying this meant 'about a on…"

-David Spiegelhalter, The Art of Statistics: How to Learn from Data

Cover of The Internet Con: How to Seize the Means of Computation by Cory Doctorow

14. The Internet Con: How to Seize the Means of Computation

By: Cory Doctorow

4.17

Format: 192 pages, Hardcover

A detailed disassembly manual for people who want to dismantle Big Tech When the tech platforms … read more

Similar categories in Cory Doctorow's The Internet Con: How to Seize the Means of Computation book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
Cover of Co-Intelligence: Living and Working with AI by Ethan Mollick

15. Co-Intelligence: Living and Working with AI

By: Ethan Mollick

4.13

Format: 243 pages, Kindle Edition

**A New York Times Bestseller**'Co-Intelligence is the very best book I know about the ins, outs, a… read more

Similar categories in Ethan Mollick's Co-Intelligence: Living and Working with AI book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
Cover of Rationality by Steven Pinker

16. Rationality

By: Steven Pinker

3.85

Format: 432 pages, Hardcover

A TIMES BOOK OF THE YEAR 2021 In Rationality, Pinker rejects the cynical cliché that humans are … read more

Similar categories in Steven Pinker's Rationality book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
"Everyone wants someone to help but prefers that it not be them."

-Steven Pinker, Rationality

"If contemporary humans seem irrational, don't blame the hunter-gatherers."

-Steven Pinker, Rationality

"The press is an availability machine. It serves up anecdotes which feed our impression of what's common in a way that is guaranteed to mislead."

-Steven Pinker, Rationality

"Disagreement is necessary in deliberations among mortals. As the saying goes, the more we disagree, the more chance there is that at least one of us is right."

-Steven Pinker, Rationality

Cover of Mindf*ck: Cambridge Analytica and the Plot to Break America by Christopher Wylie

17. Mindf*ck: Cambridge Analytica and the Plot to Break America

By: Christopher Wylie

4.36

Format: 288 pages, Hardcover

For the first time, the Cambridge Analytica whistleblower tells the inside story of the data mining… read more

Similar categories in Christopher Wylie's Mindf*ck: Cambridge Analytica and the Plot to Break America book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
"We can already see how algorithms competing to maximize our attention have the capacity to not only transform cultures but redefine the experience of existence. Algorithmically reinforced “engagement"

-Christopher Wylie, Mindf*ck: Cambridge Analytica and the Plot to Break America

"Soon we were sharing personal information without the slightest hesitation. This was encouraged, in part, by a new vocabular. What were in effect privately owned surveillance networks became “communi…"

-Christopher Wylie, Mindf*ck: Cambridge Analytica and the Plot to Break America

"Soon we were sharing personal information without the slightest hesitation. This was encouraged, in part, by a new vocabulary. What were in effect privately owned surveillance networks became “commun…"

-Christopher Wylie, Mindf*ck: Cambridge Analytica and the Plot to Break America

"If we want to understand why these technology companies behave this way we should listen to the words of those who built them. Peter Thiel, the venture capitalist behind Facebook, Palantir, and Paypa…"

-Christopher Wylie, Mindf*ck: Cambridge Analytica and the Plot to Break America

Cover of Mathematics for Machine Learning: 1st Edition by Marc Deisenroth

18. Mathematics for Machine Learning: 1st Edition

By: Marc Deisenroth

4.37

Format: 626 pages, Kindle Edition

The fundamental mathematical tools needed to understand machine learning include linear algebra, an… read more

Similar categories in Marc Deisenroth's Mathematics for Machine Learning: 1st Edition book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • mathematics
  • nonfiction
Cover of After Steve: How Apple Became a Trillion-Dollar Company and Lost Its Soul by Tripp Mickle

19. After Steve: How Apple Became a Trillion-Dollar Company and Lost Its Soul

By: Tripp Mickle

4.10

Format: 512 pages, Hardcover

From the Wall Street Journal's Tripp Mickle, the dramatic, untold story inside Apple after the pass… read more

Similar categories in Tripp Mickle's After Steve: How Apple Became a Trillion-Dollar Company and Lost Its Soul book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
Cover of Power Play: Tesla, Elon Musk, and the Bet of the Century by Tim Higgins

20. Power Play: Tesla, Elon Musk, and the Bet of the Century

By: Tim Higgins

4.09

Format: 400 pages, Hardcover

Power Play is the riveting inside story of Elon Musk and Tesla's bid to build the world's greatest … read more

Similar categories in Tim Higgins's Power Play: Tesla, Elon Musk, and the Bet of the Century book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
Cover of Lost in Math: How Beauty Leads Physics Astray by Sabine Hossenfelder

21. Lost in Math: How Beauty Leads Physics Astray

By: Sabine Hossenfelder

4.06

Format: 291 pages, Hardcover

A contrarian argues that modern physicists' obsession with beauty has given us wonderful math but b… read more

Similar categories in Sabine Hossenfelder's Lost in Math: How Beauty Leads Physics Astray book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • mathematics
  • nonfiction
"The main reason we use math in physics, however, is because we can."

-Sabine Hossenfelder, Lost in Math: How Beauty Leads Physics Astray

"foundational physics, which is far from experimental test as science can be while still being science"

-Sabine Hossenfelder, Lost in Math: How Beauty Leads Physics Astray

"if you quote this, you can be the first person to quote someone quoting someone quoting himself quoting someone"

-Sabine Hossenfelder, Lost in Math: How Beauty Leads Physics Astray

"Theoretical physicists used to explain what was observed. Now they try to explain why they can't explain what was not observed"

-Sabine Hossenfelder, Lost in Math: How Beauty Leads Physics Astray

Cover of Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications by Chip Huyen

22. Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

By: Chip Huyen

4.50

Format: 368 pages, Paperback

Machine learning systems are both complex and unique. Complex because they consist of many differen… read more

Similar categories in Chip Huyen's Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
  • programming
Cover of Natural Language Processing with Transformers: Building Language Applications with Hugging Face by Lewis Tunstall

23. Natural Language Processing with Transformers: Building Language Applications with Hugging Face

By: Lewis Tunstall

4.43

Format: 406 pages, Paperback

Since their introduction in 2017, transformers have quickly become the dominant architecture for ac… read more

Similar categories in Lewis Tunstall's Natural Language Processing with Transformers: Building Language Applications with Hugging Face book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
  • programming
Cover of All-in On AI: How Smart Companies Win Big with Artificial Intelligence by Thomas H. Davenport

24. All-in On AI: How Smart Companies Win Big with Artificial Intelligence

By: Thomas H. Davenport

3.30

Format: 256 pages, Hardcover

A fascinating look at the trailblazing companies using artificial intelligence to create new compet… read more

Similar categories in Thomas H. Davenport's All-in On AI: How Smart Companies Win Big with Artificial Intelligence book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
Cover of Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible machine learning and extreme gradient boosting with Python by Corey Wade

25. Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible machine learning and extreme gradient boosting with Python

By: Corey Wade

4.12

Format: 310 pages, Kindle Edition

Get to grips with building robust XGBoost models using Python and scikit-learn for deployment Key … read more

Similar categories in Corey Wade's Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible machine learning and extreme gradient boosting with Python book and Mike X. Cohen's Practical Linear Algebra for Data Science

Cover of Practical Linear Algebra for Data Science by Mike X. Cohen

26. Practical Linear Algebra for Data Science

By: Mike X. Cohen

4.36

Format: 372 pages, Kindle Edition

If you want to work in any computational or technical field, you need to understand linear algebra.… read more

Similar categories in Mike X. Cohen's Practical Linear Algebra for Data Science book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • mathematics
  • nonfiction
  • programming
Cover of Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python by Sebastian Raschka

27. Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

By: Sebastian Raschka

4.36

Format: 770 pages, Paperback

This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive… read more

Similar categories in Sebastian Raschka's Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • nonfiction
  • programming
Cover of Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 by Denis Rothman

28. Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

By: Denis Rothman

3.87

Format: 564 pages, Kindle Edition

OpenAI's GPT-3, ChatGPT, GPT-4 and Hugging Face transformers for language tasks in one book. Get a … read more

Similar categories in Denis Rothman's Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • programming
Cover of Feature Engineering for Machine Learning by Alice Zheng

29. Feature Engineering for Machine Learning

By: Alice Zheng

3.86

Format: 218 pages, Paperback

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely ex… read more

Similar categories in Alice Zheng's Feature Engineering for Machine Learning book and Mike X. Cohen's Practical Linear Algebra for Data Science

  • mathematics
  • nonfiction
  • programming
Cover of Financial Theory with Python by Yves Hilpisch

30. Financial Theory with Python

By: Yves Hilpisch

3.50

Format: 201 pages, Paperback

Nowadays, finance, mathematics, and programming are intrinsically linked. Financial Theory with Pyt… read more

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Cover of Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more by Aditya Bhattacharya

31. Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more

By: Aditya Bhattacharya

4.00

Format: 304 pages, Kindle Edition

Leverage top XAI frameworks to explain your machine learning models with ease and discover best pra… read more

Similar categories in Aditya Bhattacharya's Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more book and Mike X. Cohen's Practical Linear Algebra for Data Science

22 Top nonfiction books like Practical Linear Algebra for Data Science by Mike X. Cohen

Transform Your Habits

Python for Data Analysis

Wes McKinney

4.17

Transform Your Habits

Think Bayes: Bayesian Statistics in Python

Allen B. Downey

3.91

Transform Your Habits

The Structure of Scientific Revolutions

Thomas S. Kuhn

4.09

Linear Algebra Done Right

Sheldon Axler

3.73

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14 Best nonfiction books like Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications by Chip Huyen

Transform Your Habits

Hands-On Machine Learning with Scikit-Learn and TensorFlow

Aurélien Géron

3.72

Transform Your Habits

Fluent Python: Clear, Concise, and Effective Programming

Luciano Ramalho

3.54

Transform Your Habits

The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change

Tanya Reilly

4.40

Transform Your Habits

Fundamentals of Software Architecture: An Engineering Approach

Mark Richards

4.26

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