£140.47

Engineering Science Reference Machine Learning Computer Vision Book

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Description

Explore the intersection of machine learning and computer vision with this comprehensive resource from Engineering Science Reference. As technology advances, the ability to apply machine learning algorithms to visually perceptive computers becomes essential for solving complex problems across various industries. This book addresses the necessity for research into the development and efficiency of current methods that allow machines to see. It examines how these strategies facilitate higher achievement in critical tasks such as spatial recognition, big data collection, and image processing. By focusing on the practical applications and the hurdles faced during implementation, this text provides a deep look into how non-conventional and productive answers are found for modern technical issues. Whether you are studying computer science or working in specialized technical fields, this collection offers valuable insights into the algorithms and strategies that drive the future of machine vision and data processing.

Key Features

Examines how machine learning provides productive answers for problems within visually perceptive computer systems.

Covers essential tasks including spatial recognition, big data collection, and advanced image processing.

Addresses the need for research into the development and efficiency of modern machine vision methods.

Provides insight into applying machine learning algorithms to achieve higher results in computer vision tasks.

Explores the implementation of non-conventional strategies for solving complex technical issues.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 October 2019
Listed Since
05 February 2020

Barcode

No barcode data available

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