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CRC Press Machine Learning and IoT for Intelligent Systems - CRC Press

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£112.54 £89.42 £94.46 £99.51 £104.55 £109.60 £114.64 27 July 2026 12 August 2026 29 August 2026 15 September 2026 02 October 2026
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Price range: £92 - £113

Price levels: 4 different prices over 68 days

Description

Machine Learning and IoT for Intelligent Systems and Smart Applications explores the intersection of machine learning and Internet of Things technologies in modern engineering problem-solving. Published by CRC Press, this comprehensive guide delves into computational intelligence methods and their practical applications across smart systems and IoT environments. The book combines theoretical foundations with real-world implementation strategies, making it essential for engineers, data scientists, and technology professionals seeking to understand how machine learning algorithms can optimise IoT deployments. Whether you are developing autonomous systems, building connected devices, or implementing intelligent automation solutions, this resource provides the knowledge and frameworks needed to leverage computational intelligence effectively. CRC Press delivers authoritative technical content suitable for both academic study and professional development in artificial intelligence and smart application development.

Key Features

CRC Press publishes this comprehensive guide covering machine learning algorithms and IoT integration for engineering professionals.

Combines computational intelligence theory with practical smart application development across connected systems.

Addresses real-world problem-solving strategies for intelligent systems using contemporary machine learning techniques.

Provides essential frameworks for engineers and data scientists implementing IoT solutions with AI capabilities.

Covers the intersection of machine learning and Internet of Things for modern automation and smart technology development.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 November 2021
Listed Since
11 June 2021

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