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Machine Learning Algorithms for Engineering Applications : Future Trends and Research Directions

By: (Edited by) Prasenjit Chatterjee

Extended Catalogue

Ksh 25,550.00

Format: Hardback or Cased Book

ISBN-10: 1685074499

ISBN-13: 9781685074494

Publisher: Nova Science Publishers Inc

Imprint: Nova Science Publishers Inc

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 24th, 2022

Print length: 214 Pages

Weight: 440 grams

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Machine learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks. Large organisations thoughtfully apply machine learning algorithms with extensive research teams. The purpose of this book is to provide an intellectual introduction to statistical or machine learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise. Statistical analysis is an integral part of machine learning and can be described as a form of it, often even utilising well-known and familiar techniques, that has a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data.

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