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Springer - Learning Techniques for the Internet of Things

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£122.33 £107.67 £110.87 £114.07 £117.26 £120.46 £123.66 14 March 2026 21 March 2026 29 March 2026 06 April 2026 14 April 2026

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Description

Expand your technical knowledge with Learning Techniques for the Internet of Things, published by Springer. This book serves as a specialized resource for those studying the intersection of computer science and modern connectivity. As the digital landscape evolves, understanding how machine learning and AI integrate with IoT systems becomes a necessity for professionals and students alike. This publication focuses on the essential methodologies required to navigate the complexities of the Internet of Things. By studying these specific learning techniques, readers can better understand the data-driven processes that power smart environments. Whether you are researching advanced computing or looking to deepen your expertise in AI and machine learning, this text provides a foundational look at the technologies shaping the future of connected devices.

Key Features

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

Focused content covering essential learning techniques for IoT environments.

Targets the specific intersection of AI, machine learning, and computer science.

Provides a technical resource for students and professionals in the computing field.

Designed to support deep learning and data analysis within connected systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 February 2024
Listed Since
10 November 2023

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No barcode data available

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