Machine Learning : algorithms, models and applications / / Edited by Jaydip Sen, Sidra Mehtab

• Pubblicazione: London : , : IntechOpen, , 2021; ©2021
• Descrizione fisica: 1 online resource (153 pages)
• Disciplina: 006.31
• Soggetto topico: Machine learning
• Persona (resp. second.): SenJaydip; MehtabSidra
• Nota di bibliografia: Includes bibliographical references and index.
• Sommario/riassunto: Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses-cases of deep learning and artificial intelligence, the current volume presents a few innovative research works and their applications in real-world, such as stock trading, medical and healthcare systems, and software automation. The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of machine learning, deep learning, and artificial intelligence.
• Altri titoli varianti: Machine Learning
• Titolo autorizzato: Machine learning
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910688486203321
• Lo trovi qui: Univ. Federico II