Mathematics for Machine Learning by Marc Peter Deisenroth

Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Requirements: .PDF reader, 16 mb
Overview: This self contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines.

For students and others with a mathematical background, these derivations provide a starting point to machine learning texts.
Genre: Non-Fiction > Educational

Download Instructions:
https://dropapk.to/ej5psqum3f50
https://earn4files.com/z0ygaqzyb2jb

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