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Springer - Applications of Machine Learning Book

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Description

Expand your knowledge of intelligent systems with Applications of Machine Learning (Algorithms for Intelligent Systems) from Springer. This academic resource focuses on the practical implementation of machine learning algorithms within modern computing frameworks. Designed for students and professionals in the field of computer science, this book covers the essential principles required to understand how machine learning drives intelligent systems. By studying these algorithms, readers can better understand the mechanics behind automated decision-making and data-driven intelligence. Whether you are researching advanced computing topics or studying artificial intelligence, this text provides a structured look at the methodologies used to build smarter technology. It serves as a valuable addition to any technical library focused on AI and machine learning development.

Key Features

Focuses on the practical applications of machine learning algorithms for developing intelligent systems.

Published by Springer, a recognized leader in scientific and technical academic literature.

Provides foundational knowledge for computer science students and AI researchers.

Covers essential algorithms used to create and manage intelligent computing systems.

A specialized resource for those studying the intersection of machine learning and computer science.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 May 2021
Listed Since
08 April 2021

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No barcode data available

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