Math Handbook for Machine Learning
Thank you for all who placed orders!
This book is sold out and superseded by Math Handbook for AI & Machine Learning
(This page is for reference only)
Overview
“Math Handbook for Machine Learning” is the ensemble of notes gathered from Dr. Roysdon’s dissertation research on a variety of math and engineering topics. Fortunately, there exists a large body of literature on this subject. However, some of the online material is confusing (and often inaccurate), with inconsistent nomenclature. This text provides a reference of high school through graduate-level math, so that anyone can refer to this text while performing their own research.
Features that distinguish this book from others: The notation and analysis is developed and consistent across the chapters & fields of mathematics. Great pains have been taken to compile a large body of mathematics literature into one concise and consistent notation. Thus, the reader is introduced to the notation once, and can therefore spend the rest of their time refreshing their memory of algorithms instead of learning new notation.
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
Book Details
Publisher: Fibonacci Press
Language: English
Hardback: 158 pages
ISBN: 978-1-6556-6077-1
Dimensions: 5.5 x 8.5 x 0.5 inches
Publish date: 06/2014 & 11/2018
Math Handbook for Machine Learning
Thank you for all who placed orders!
This book is sold out and superseded by Math Handbook for AI & Machine Learning
(This page is for reference only)
Overview
“Math Handbook for Machine Learning” is the ensemble of notes gathered from Dr. Roysdon’s dissertation research on a variety of math and engineering topics. Fortunately, there exists a large body of literature on this subject. However, some of the online material is confusing (and often inaccurate), with inconsistent nomenclature. This text provides a reference of high school through graduate-level math, so that anyone can refer to this text while performing their own research.
Features that distinguish this book from others: The notation and analysis is developed and consistent across the chapters & fields of mathematics. Great pains have been taken to compile a large body of mathematics literature into one concise and consistent notation. Thus, the reader is introduced to the notation once, and can therefore spend the rest of their time refreshing their memory of algorithms instead of learning new notation.
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
Book Details
Publisher: Fibonacci Press
Language: English
Hardback: 158 pages
ISBN: 978-1-6556-6077-1
Dimensions: 5.5 x 8.5 x 0.5 inches
Publish date: 06/2014 & 11/2018