Machine Learning for Wireless Communication by Rohit M. Thanki(.ePUB)+

Posted on by

File Size: 10 MB

Machine Learning for Wireless Communication by Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan
Requirements: .ePUB, .PDF reader, 10 MB
Overview: This book covers the basic principles of wireless communication while delving into the fundamentals of Machine Learning, including supervised and unsupervised learning, Deep Learning, and Reinforcement Learning. The authors provide real-world examples and case studies to illustrate the use of Machine Learning in wireless communication applications such as channel estimation, mobility prediction, resource allocation, and beamforming. Machine Learning (ML) is a subset of Artificial Intelligence (AI) that focuses on building systems capable of learning from data, identifying patterns, and making decisions with minimal human intervention. Unlike traditional programming, where rules are explicitly coded, ML systems are trained using data to improve their performance on a specific task over time. This book is an essential resource for researchers, engineers, and students interested in understanding and applying Machine Learning techniques in the context of wireless communication systems.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://trbt.cc/mm5glw7h6iwb.html

https://katfile.cloud/5et1h3h4djg9/Machine_Learning_for_Wireless_Communication.rar.html