Machine Learning

Andries Engelbrecht

ISBN 10: 183969484X / ISBN 13: 9781839694844

Published by Intechopen Dez 2021, 2021

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses¿cases of deep learning and artificial intelligence, the current volume presents a few innovative research works and their applications in real-world, such as stock trading, medical and healthcare systems, and software automation. The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of machine learning, deep learning, and artificial intelligence.Books on Demand GmbH, Überseering 33, 22297 Hamburg 152 pp. Englisch.

Seller Inventory # 9781839694844

Bibliographic Details

• Title: Machine Learning
• Publisher: Intechopen Dez 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 183969484X
• ISBN 13: 9781839694844
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 15D millimeters 266 millimeters width by 185 millimeters height by 15 millimeters depth
• Weight: 549 grams

About this title

Synopsis

Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses–cases of deep learning and artificial intelligence, the current volume presents a few innovative research works and their applications in real-world, such as stock trading, medical and healthcare systems, and software automation. The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of machine learning, deep learning, and artificial intelligence.