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Synopsis
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.
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About the Author
Puvvadi Baby Maruthi received Master of Computer Applications degree from JNTU Ananthapur in 2010, and the Ph.D degree from Sri Padmavati Mahila VisvaVidyalayam, Tirupati, in 2019. She is currently working as an Assistant Professor in Sri Venkateswara College of Engineering, Tirupati. She got gold medal in R programming in NPTEL. Her research interests include soft computing, information security, digital image processing and Machine Learning.
Amit Kumar Tyagi is Assistant Professor (Senior Grade), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India. He received his Ph.D. Degree in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013.
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- PublisherIGI Global
- Publication date2023
- ISBN 10 1668485311
- ISBN 13 9781668485316
- BindingHardcover
- LanguageEnglish
- Number of pages453
- EditorMaruthi Puvvadi Baby, Prasad Smrity
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Hardcover. Condition: new. Hardcover. 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. Assists researchers in learning and implementing these critical algorithms. Key topics covered include classification, artificial neural networks, prediction, random forest, and regression analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781668485316
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9781668485316
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