Supervised and unsupervised learning techniques for healthcare

Pallavi Pandey

ISBN 10: 6207455347 / ISBN 13: 9786207455348

Published by LAP LAMBERT Academic Publishing Dez 2023, 2023

About this Item

Neuware -Machine learning (ML) is a field of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems to learn and improve their performance on tasks without explicit programming. At its core, ML involves the utilization of data to recognize patterns, make predictions, and inform decision-making. It encompasses a variety of techniques, from supervised learning, where models are trained on labeled data, to unsupervised learning, where algorithms identify hidden patterns within unlabeled data. ML applications span diverse domains, including image and speech recognition, natural language processing, healthcare diagnostics, and predictive analytics, fundamentally reshaping how computers can autonomously acquire knowledge and adapt to changing environments.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.

Seller Inventory # 9786207455348

Bibliographic Details

• Title: Supervised and unsupervised learning techniques for healthcare
• Publisher: LAP LAMBERT Academic Publishing Dez 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 6207455347
• ISBN 13: 9786207455348
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Machine learning (ML) is a field of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems to learn and improve their performance on tasks without explicit programming. At its core, ML involves the utilization of data to recognize patterns, make predictions, and inform decision-making. It encompasses a variety of techniques, from supervised learning, where models are trained on labeled data, to unsupervised learning, where algorithms identify hidden patterns within unlabeled data. ML applications span diverse domains, including image and speech recognition, natural language processing, healthcare diagnostics, and predictive analytics, fundamentally reshaping how computers can autonomously acquire knowledge and adapt to changing environments.