Description

Book Synopsis
This concise single-semester textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications. Requiring no previous knowledge of ML, it includes over 20 examples addressing real-world challenges, and over 100 end-of-chapter exercises, including hands-on exercises using Python.

Wireless Communications and Machine Learning

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    A Hardback by Le Liang

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      Publisher: Cambridge University Press
      Publication Date: Publication Date: 6/30/2025
      ISBN13: 9781009232203, 978-1009232203
      ISBN10: 1009232207
      Also in:
      Computing Digital signal processing (DSP)

      Description

      Book Synopsis
      This concise single-semester textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications. Requiring no previous knowledge of ML, it includes over 20 examples addressing real-world challenges, and over 100 end-of-chapter exercises, including hands-on exercises using Python.

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