Basics for Linear Algebra for Machine Learning - Discover the Mathematical Language of Data in Python

✍ Scribed by Jason Brownlee

Year: 2018
Tongue: English
Leaves: 212
Edition: 1.1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Some classical methods used in the field of linear algebra,such as linear regression via linear least squares and singular-value decomposition, are linear algebra methods, and other methods, such as principal component analysis, were born from the marriage of linear algebra and statistics. To read and understand machine learning, you must be able to read and understand linear algebra. This book helps machine learning practitioners, get on top of linear algebra, fast.

✦ Table of Contents

i. Introduction
ii. Foundations of Linear Algebra
iii. NumPy
iv. Matrices
v. Factorization
vi. Statistics
vii. Appendix

✦ Subjects

Linear Algebra, Machine Learning

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