Machine learning algorithms using Scikit and TensorFlow environments:

Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow.Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in l...

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Bibliographische Detailangaben
Weitere Verfasser: Maruthi, Puvvadi Baby 1986- (HerausgeberIn), Prasad, Smrity 1978- (HerausgeberIn), Tyagi, Amit Kumar 1988- (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey PA, USA IGI Global [2024]
Schriftenreihe:Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
Schlagworte:
Online-Zugang:DE-91
DE-898
DE-1050
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Zusammenfassung:Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow.Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Beschreibung:1 Online-Ressource (xx, 453 Seiten) Illustrationen
ISBN:9781668485330
DOI:10.4018/978-1-6684-8531-6

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