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Springer Machine Learning with Python: Theory and Implementation

Amazon

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Description

Machine Learning with Python: Theory and Implementation from Springer serves as a comprehensive textbook for undergraduate and graduate students. This resource provides a balanced approach to learning essential machine learning elements through both theoretical and practical perspectives. Designed for students with a mathematical background in engineering and other quantitative fields, the content focuses on methods with high practical utility. The text presents useful techniques using a mathematical language that is accessible to learners. By bridging the gap between theory and application, this book helps students master the fundamentals of machine learning required for academic and professional success in quantitative disciplines.

Key Features

This Springer textbook provides a dual perspective on machine learning through both theoretical and practical implementation.

The content is specifically designed for undergraduate and graduate students studying quantitative fields.

Each topic is selected based on its practical utility to ensure students learn methods that are useful in real-world applications.

Mathematical concepts are presented in a language accessible to students with an engineering or quantitative background.

The book covers essential machine learning elements suitable for higher education in mathematics and science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
12 July 2023
Listed Since
17 April 2023

Barcode

No barcode data available

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