Math Handbook for Data Science, Machine Learning & AI
Overview
“Math Handbook for Data Science, Machine Learning & AI” is a complete re-write of the popular “Math Handbook for ML”. This book took 2 years to write and edit, including 3 new chapters! This is an excellent reference with common math rules, e.g., algebraic rules for exponents, derivations for linear algebra and probability theory. Great pains have been taken to compile a large body of mathematics literature into one concise and consistent notation.
To make this book extra special, it is printed with a premium full-color gloss hardcover, and premium 93 opacity 60lb pages with full-color figures.
Extras
Each chapter concludes with a section on common math errors, e.g., “Common Algebraic Errors.” This is very useful as a reminder of mistakes people often make.
Free book chapter: just in case you want to preview the content, a free chapter is available here.
Reviews
“I intend on highly recommending your book to our analysts, engineers, and the local work libraries.” - Dr. Annette Fisher
“This book succinctly explains the derivations of many things often skipped in other texts. I wish I had this as a reference many years ago.” - Dr. Luke Diaz
Notes for the New Edition
This new edition was completely rewritten to make the text clear, more engaging and to improve technical accuracy.
The original manuscript was unfriendly to colorblind readers; in particular red/green contrasts are troublesome. The new color palette uses orange/blue and red/blue contrast.
We are also working to make this book the first of its kind available in Braille. A significant level of effort was invested to create a new math library in Braille that augments or replaces Neimeth Code. This will help a significantly under-served community of blind researchers, engineers, and scientists.
To minimize waste and environmental impact in the printing process, this book is printed in the 8.5” x 5.5” format.
Book Details
Publisher: Fibonacci Press
Language: English
Hardback: 159 pages
ISBN: 979-8-3509-3849-4
Dimensions: 5.5 x 8.5 x 1.2 inches
Publish date: 12/2023
*Please note: While we are still trying to make this book affordable, the cost of publishing increased 2.5x this year.*
Math Handbook for Data Science, Machine Learning & AI
Overview
“Math Handbook for Data Science, Machine Learning & AI” is a complete re-write of the popular “Math Handbook for ML”. This book took 2 years to write and edit, including 3 new chapters! This is an excellent reference with common math rules, e.g., algebraic rules for exponents, derivations for linear algebra and probability theory. Great pains have been taken to compile a large body of mathematics literature into one concise and consistent notation.
To make this book extra special, it is printed with a premium full-color gloss hardcover, and premium 93 opacity 60lb pages with full-color figures.
Extras
Each chapter concludes with a section on common math errors, e.g., “Common Algebraic Errors.” This is very useful as a reminder of mistakes people often make.
Free book chapter: just in case you want to preview the content, a free chapter is available here.
Reviews
“I intend on highly recommending your book to our analysts, engineers, and the local work libraries.” - Dr. Annette Fisher
“This book succinctly explains the derivations of many things often skipped in other texts. I wish I had this as a reference many years ago.” - Dr. Luke Diaz
Notes for the New Edition
This new edition was completely rewritten to make the text clear, more engaging and to improve technical accuracy.
The original manuscript was unfriendly to colorblind readers; in particular red/green contrasts are troublesome. The new color palette uses orange/blue and red/blue contrast.
We are also working to make this book the first of its kind available in Braille. A significant level of effort was invested to create a new math library in Braille that augments or replaces Neimeth Code. This will help a significantly under-served community of blind researchers, engineers, and scientists.
To minimize waste and environmental impact in the printing process, this book is printed in the 8.5” x 5.5” format.
Book Details
Publisher: Fibonacci Press
Language: English
Hardback: 159 pages
ISBN: 979-8-3509-3849-4
Dimensions: 5.5 x 8.5 x 1.2 inches
Publish date: 12/2023
*Please note: While we are still trying to make this book affordable, the cost of publishing increased 2.5x this year.*