Machine learning for all

Machine learning for all (Paperback, N. Raghavendra Sai, M. Aruna Safali, G. Reshma)

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Highlights
  • Binding: Paperback
  • Publisher: Walnut Publication
  • ISBN: 9789391145354, 9391145353
  • Edition: 2021
  • Pages: 264
Description
It is the point of this book to gracefully a down to earth review of both the standards and practice of Machine learning algorithms, inside the initial piece of the book, the basic issues to be tended to by a system security ability are investigated by giving an instructional exercise and review of machine learning techniques and their innovations. The last piece of the book manages system security activities: pragmatic applications that are executed and are being used to gracefully arrange security. the point, and therefore this book, draws on a spread of controls. particularly, it's difficult to comprehend the significance of some of the procedures examined during this book without an essential comprehension of the number hypothesis and a couple of results from applied arithmetic.
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Specifications
Book Details
Publication Year
  • 2021
Contributors
Author Info
  • Dr. M. Aruna Safali (Miriyala Aruna Safali) obtained her Masters in Computer Science and Applications from Acharya Nagarjuna University. Then she obtained her Master’s degree in Computer Science Engineering from JNTU Kakinada and PhD in Computer Science majoring in Sentiment Analysis using Machine Learning algorithms from Acharya Nagarjuna University. She has also obtained 2 patents and published more than 12 papers in National and International journals and Fellow member in APAS and I2OR. Currently, she is an Associate Professor at the Dept of Computer Science and Engineering, Dhanekula Institute of Engineering and Technology, Ganguru, Vijayawada.
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