Supervised and unsupervised learning techniques for healthcare

Pandey, Pallavi

ISBN 10: 6207455347 / ISBN 13: 9786207455348

Edité par LAP LAMBERT Academic Publishing, 2023

A propos de cet article

New.

N° de réf. du vendeur ERICA80062074553476

Détails bibliographiques

• Titre: Supervised and unsupervised learning techniques for healthcare
• Éditeur: LAP LAMBERT Academic Publishing
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 6207455347
• ISBN à 13 chiffres: 9786207455348
• Reliure: paperback
• État de l'article: New
• Type de livre: book

A propos de ce titre

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.