Math Refresher for Machine Learning

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This book is sold out and superseded by Math Refresher for AI & Machine Learning

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Overview

“Math Refresher for Machine Learning” offers a comprehensive review of the concepts, approaches and applications of algebra, trigonometry, linear algebra, calculus, and statistics. This book covers each topic using a concise and practical approach with worked problems (examples) as well as exercises for the reader to complete.

This text is not intended to replace a college-level course in linear algebra, statistics, nor calculus. Rather the necessary material is provided to refresh what the reader previously learned, so that they will be ready to tackle machine learning problems and its applications in the field of Data Science.

Reviews

  • “Math Refresher is an outstanding book! Not only did I enjoy reading it and working the problems, I kept thinking on how great this book would have been not just for data scientists, but for engineers at all academic levels.” - Dr. Annette Fisher

  • “This book provides a comprehensive refresher of each math discipline required for understanding machine learning and data science.” - Dr. Luke Diaz

Book Details

  • Publisher: Fibonacci Press

  • Language: English

  • Hardback: 229 pages

  • ISBN: 978-1-0936-6907-7

  • Dimensions: 5.5 x 8.5 x 1.2 inches

  • Publish date: 06/2014 & 11/2018

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