Future of Machine Learning - Case Studies

Bashiru Aremu

ISBN 10: 6206686221 / ISBN 13: 9786206686224

Published by LAP LAMBERT Academic Publishing Jul 2023, 2023

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Machine learning has impacted several sectors and has become a crucial component of many industries, transforming how businesses run. Its numerous applications encourage creativity and effectiveness. Machine learning is utilised in the healthcare sector for things like disease detection, image analysis of medical images, drug discovery, and personalised treatment. Machine learning algorithms can assist in identifying trends and making precise predictions by analysing massive volumes of medical data, enhancing patient care and medical outcomes. Machine learning has revolutionised financial industry procedures like risk analysis, algorithmic trading, and fraud detection. Financial organisations can improve operational effectiveness and lower financial losses by using machine learning algorithms to swiftly detect fraud, evaluate creditworthiness, optimise business strategies, and assess risks more precisely. In order to enhance customer experience, optimise inventory, and enable targeted marketing efforts, retail and e-commerce have also incorporated machine learning techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 320 pp. Englisch.

Seller Inventory # 9786206686224

Bibliographic Details

• Title: Future of Machine Learning - Case Studies
• Publisher: LAP LAMBERT Academic Publishing Jul 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 6206686221
• ISBN 13: 9786206686224
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 20D millimeters 220 millimeters width by 150 millimeters height by 20 millimeters depth
• Weight: 495 grams

About this title

Synopsis

Machine learning has impacted several sectors and has become a crucial component of many industries, transforming how businesses run. Its numerous applications encourage creativity and effectiveness. Machine learning is utilised in the healthcare sector for things like disease detection, image analysis of medical images, drug discovery, and personalised treatment. Machine learning algorithms can assist in identifying trends and making precise predictions by analysing massive volumes of medical data, enhancing patient care and medical outcomes. Machine learning has revolutionised financial industry procedures like risk analysis, algorithmic trading, and fraud detection. Financial organisations can improve operational effectiveness and lower financial losses by using machine learning algorithms to swiftly detect fraud, evaluate creditworthiness, optimise business strategies, and assess risks more precisely. In order to enhance customer experience, optimise inventory, and enable targeted marketing efforts, retail and e-commerce have also incorporated machine learning techniques.