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dc.contributor.editorSen, Jaydip
dc.date.accessioned2022-01-21T10:48:18Z
dc.date.available2022-01-21T10:48:18Z
dc.date.issued2021
dc.identifierONIX_20220121_9781839694851_366
dc.identifier.issn2633-1403
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/77805
dc.description.abstractRecent 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.
dc.languageEnglish
dc.relation.ispartofseriesArtificial Intelligence
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
dc.titleMachine Learning
dc.title.alternativeAlgorithms, Models and Applications
dc.typebook
oapen.identifier.doi10.5772/intechopen.94615
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781839694851
oapen.relation.isbn9781839694844
oapen.relation.isbn9781839694868
oapen.imprintIntechOpen
oapen.series.number7
oapen.pages152


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