Availability: 20 In Stock
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Pages: 212

" Basics for Linear Algebra for Machine Learning" is a custom printed version and will be delivered within 3 days.

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.

Basics for Linear Algebra for Machine Learning

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