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

By Jason Brownlee

Book information

Year
2018
Language
english
Format
PDF
Filesize
1 MB (1400200 bytes)
Edition
1.1
Pages
0\212
Time added
2018-01-24 06:34:47
Linear AlgebraMachine Learning

Description

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

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