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Handbook of Machine Learning for Computational Optimization: Applications and Case Studies

Edited by Vishal Jain, Edited by Sapna Juneja, Edited by Abhinav Juneja, Edited by Ramani Kannan

| on special |

normal price: R 2 861.95

Price: R 2 575.95


| book description |

Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new machine learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach, which makes machine learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms that are more efficient and reliable for new dimensions in discovering other applications, and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for machine learning-based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers.

| product details |



Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Taylor & Francis Ltd
Published date | 4 Oct 2024
Language |
Format | Paperback / softback
Pages | 280
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 417g
ISBN | 978-0-3676-8545-4
Readership Age |
BISAC | technology / engineering / general


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 3 383.95
Price | R 3 045.95 | on special |



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