Download the fantastic book titled Machine Learning Approaches for Improvising Modern Learning Systems written by Gulzar, Zameer, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning Approaches for Improvising Modern Learning Systems", which was released on 14 May 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Education genre.
Summary of Machine Learning Approaches for Improvising Modern Learning Systems by Gulzar, Zameer PDF
Technology is currently playing a vital role in revolutionizing education systems and progressing academia into the digital age. Technological methods including data mining and machine learning are assisting with the discovery of new techniques for improving learning environments in regions across the world. As the educational landscape continues to rapidly transform, researchers and administrators need to stay up to date on the latest advancements in order to elevate the quality of teaching in their specific institutions. Machine Learning Approaches for Improvising Modern Learning Systems provides emerging research exploring the theoretical and practical aspects of technological enhancements in educational environments and the popularization of contemporary learning methods in developing countries. Featuring coverage on a broad range of topics such as game-based learning, intelligent tutoring systems, and course modelling, this book is ideally designed for researchers, scholars, administrators, policymakers, students, practitioners, and educators seeking current research on the digital transformation of educational institutions.
Detail About Machine Learning Approaches for Improvising Modern Learning Systems PDF
- Author : Gulzar, Zameer
- Publisher : IGI Global
- Genre : Education
- Total Pages : 336 pages
- ISBN : 1799850102
- Release Date : 14 May 2021
- PDF File Size : 23,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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