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

Author:   Prasenjit Chatterjee ,  Parmanand Astya, PhD ,  Sudeshna Chakraborty, PhD
Publisher:   Nova Science Publishers Inc
ISBN:  

9781685074494


Pages:   214
Publication Date:   24 June 2022
Format:   Hardback
Availability:   Available To Order   Availability explained
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Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions


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Overview

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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Author:   Prasenjit Chatterjee ,  Parmanand Astya, PhD ,  Sudeshna Chakraborty, PhD
Publisher:   Nova Science Publishers Inc
Imprint:   Nova Science Publishers Inc
Weight:   0.440kg
ISBN:  

9781685074494


ISBN 10:   1685074499
Pages:   214
Publication Date:   24 June 2022
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Preface; Tools for Machine Learning; Comprehensive Review on Applications of Machine Learning in Healthcare; Retinal Vessel Enhancement Evaluation on DRIVE Dataset from CNN Performance; Machine Learning for Network Analysis; Machine Learning in Hydrology; Machine Learning Applications in Smart Sensors; The Role of Machine Learning in the Food Industry; Phrase Based Machine Translation of English Text to Indian Sign Language Using Order Scoring Algorithm; Stem Cell and Tissue Engineering: Application of Machine Learning; Reconstruction of 3D Point Cloud-Based on the Sequence of Images; Application of Machine Learning in Financial Services; Eye-Tracking Data as a Way to Detect Sleep Deprivation in an Individual, Based on Attention, Mental Agility, and Problem-Solving; Index.

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Prasenjit Chatterjee, PhD Department of Mechanical Engineering, MCKV Institute of Engineering, West Bengal, India

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