Basics of Linear Algebra for Machine Learning

This book PDF is perfect for those who love Computers genre, written by Jason Brownlee and published by Machine Learning Mastery which was released on 24 January 2018 with total hardcover pages 211. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Basics of Linear Algebra for Machine Learning books below.

Basics of Linear Algebra for Machine Learning
Author : Jason Brownlee
File Size : 49,7 Mb
Publisher : Machine Learning Mastery
Language : English
Release Date : 24 January 2018
ISBN : 978186723xxxx
Pages : 211 pages
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Basics of Linear Algebra for Machine Learning by Jason Brownlee Book PDF Summary

Linear algebra is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. In this laser-focused Ebook, you will finally cut through the equations, Greek letters, and confusion, and discover the topics in linear algebra that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover what linear algebra is, the importance of linear algebra to machine learning, vector, and matrix operations, matrix factorization, principal component analysis, and much more.

Basics of Linear Algebra for Machine Learning

Linear algebra is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. In this laser-focused Ebook, you will finally cut through the equations, Greek letters, and confusion, and discover the topics in linear algebra that you need to know. Using clear

Get Book
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