£44.54

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£45 today · all-time low £45 (Jul 2026) · usually the usual

O'Reilly Practical Linear Algebra for Data Science with Python

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Description

Master the fundamental math needed for modern data science with this guide by Mike X Cohen. Published by O'Reilly, this book focuses on linear algebra concepts as they are implemented in Python. You will learn how to apply these mathematical principles to machine learning, deep learning, and computational simulations. This practical resource covers essential topics for biomedical data processing and various modern analysis methods. By studying these core concepts, you gain the ability to understand, implement, and adapt complex algorithms used in the field today. It is an ideal resource for anyone looking to bridge the gap between mathematical theory and practical Python coding applications.

Key Features

Learn core linear algebra concepts specifically as they are implemented using Python.

Apply mathematical principles to machine learning, deep learning, and computational simulations.

Gain practical knowledge for biomedical data processing and modern analysis methods.

Develop the ability to implement and adapt various algorithms and analysis techniques.

Study a guide from O'Reilly that connects mathematical theory to data science applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
20 September 2022
Listed Since
24 February 2022

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