Machine Learning Algorithms Using Scikit and TensorFlow Environments

ISBN 10: 166848532X / ISBN 13: 9781668485323

Verlag: IGI Global, 2023

In. Bestandsnummer des Verkäufers ria9781668485323_new

Inhaltsangabe:

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.

Über die Autorinnen und Autoren: 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.

Bibliografische Details

Titel: Machine Learning Algorithms Using Scikit and...
Verlag: IGI Global
Erscheinungsdatum: 2023
Einband: Softcover
Zustand: New