Goodreads helps you keep track of books you want to read.
Start by marking “Mathematics for Machine Learning” as Want to Read:
Mathematics for Machine Learning
Enlarge cover
Rate this book
Clear rating
Open Preview

Mathematics for Machine Learning

4.35  ·  Rating details ·  48 ratings  ·  10 reviews
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. ...more
Published February 20th 2020 by Cambridge University Press
More Details... Edit Details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about Mathematics for Machine Learning, please sign up.

Be the first to ask a question about Mathematics for Machine Learning

This book is not yet featured on Listopia. Add this book to your favorite list »

Community Reviews

Showing 1-30
Average rating 4.35  · 
Rating details
 ·  48 ratings  ·  10 reviews

More filters
Sort order
Start your review of Mathematics for Machine Learning
Dec 09, 2020 rated it it was amazing
Shelves: 2020

I don't regard this one as an introductory book, but rather a "refresher" on the base of mathematics required for machine learning. Most of the book was a delight to read, I liked the slow building up of ideas in first chapters such as vector spaces, linear independence, basis, rank, linear mapping, inner products, orthogonality, .., etc. to the point that you become comfortable with them when used in more complex chapters, even if you had little or no background on them.

There were so
Solomon Xie
Oct 12, 2018 rated it it was ok
Shelves: math
I'm so intimidated by the enormous amount of terms and symbols, and couldn't say it's a beginner friendly book. So i'm gonna let go of this and try other books ...more
Estefano Palacios
Brilliant and Precise

The book is the missing piece between books like Artificial Intelligence: A Modern Approach and mathematics. It is recommended that you've had exposure to the mathematical topics prior to reading the book, but let that stop you if you're a beginner. Having said that, a course on single variable calculus ought to be under your belt.
Filip Karlo Došilović
Dec 02, 2020 rated it it was amazing
If there is a book to start your machine learning journey the right way, whether you are a mathematics or computer science student, this would be it.

A piece of advice: I would not recommend reading this book if you did not have exposure to calculus, introductory linear algebra and probability theory. You should view the first part of the book as a quick refresher, and not as an introduction to these subjects.
Nick Greenquist
Jan 24, 2019 rated it it was amazing
Very difficult mathematics book. However, I feel like I came out the other side with some new mathemetical skills in my toolbox and a better understanding of the theory behind many machine learning algrorithms. However, this book is definitely a very tough read.
Nadiantara Wayan
Jan 04, 2021 rated it it was amazing
Perfect and free, what else do you want?
Dec 28, 2020 rated it it was amazing
A must read for beginners in machine learning!
Tianyao Chen
May 01, 2020 rated it it was amazing  ·  review of another edition
Shelves: math
A great crash course to brush up the math required for ML!
Robin Dong
Mar 12, 2020 rated it really liked it
Just give this book a preliminary view.
It's easy to understand for most parts hence good for software developers (such as me)
Jan 05, 2019 rated it it was amazing
Surdoiu Tudor
rated it it was amazing
Feb 15, 2021
Jovany Agathe
rated it liked it
Mar 28, 2021
Changye Li
rated it it was amazing
Oct 19, 2020
Sajil C.
rated it liked it
Mar 23, 2021
rated it really liked it
Mar 16, 2021
Mayank Bhaskar
rated it it was amazing
Apr 07, 2020
rated it it was amazing
Jan 12, 2021
rated it it was amazing
Mar 08, 2021
A Gaitanis
rated it really liked it
Mar 20, 2021
Käptn ZurSee
rated it it was amazing
Mar 07, 2021
rated it it was amazing
Mar 28, 2021
rated it did not like it
Jul 19, 2020
Radovan Kavický
rated it liked it
Aug 31, 2020
Tadej Krivec
rated it it was amazing
Apr 25, 2020
John V Flickinger
rated it it was amazing
Feb 09, 2021
James Northup
rated it it was amazing
Sep 25, 2020
Luis Ucros
rated it really liked it
Jan 21, 2020
Benediktas Valys
rated it it was amazing
Nov 29, 2020
Eugene Hayden
rated it liked it
Jan 04, 2021
Emilia Nenova
rated it it was amazing
Feb 09, 2021
« previous 1 next »
topics  posts  views  last activity   
Using too much symbolic language? 2 13 Jan 20, 2019 09:31AM  

Readers also enjoyed

  • Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • Flowers for Algernon
  • Pattern Recognition and Machine Learning
  • THINK STRAIGHT: Change Your Thoughts, Change Your Life
  • Dictionary of the Khazars
  • No bullshit guide to linear algebra
  • 13 Things Mentally Strong People Don't Do: Take Back Your Power, Embrace Change, Face Your Fears, and Train Your Brain for Happiness and Success
  • Your Best Brain: The Science of Brain Improvement
  • 北野武的小酒馆
  • Introduction to Networking: How the Internet Works
  • The Gray House
  • Tintin: Complete Companion
  • Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization (Treading on Python Book 3)
  • Storytelling with Data: A Data Visualization Guide for Business Professionals
  • MAKE: Bootstrapper's Handbook
  • Clean Code: A Handbook of Agile Software Craftsmanship
  • The Linux Command Line
  • The Rust Programming Language
See similar books…

Goodreads is hiring!

If you like books and love to build cool products, we may be looking for you.
Learn more »

News & Interviews

Ciannon Smart has been holed up in her England home since the pandemic began a year ago, but by no means has she been idle. She’s been on...
17 likes · 3 comments