Supervised and unsupervised learning techniques for healthcare

Pallavi Pandey

ISBN 10: 6207455347 / ISBN 13: 9786207455348

Verlag: LAP LAMBERT Academic Publishing, 2023

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9786207455348

Bibliografische Details

• Titel: Supervised and unsupervised learning techniques for healthcare
• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 6207455347
• ISBN-13: 9786207455348
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.