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Machine Learning Crash Course for Engineers

Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced...

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Bibliographic Details
Main Author: Hossain, Eklas (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Subjects:
Machine learning.
Computational intelligence.
Electrical engineering.
Signal processing.
Electric power production.
Machine Learning.
Computational Intelligence.
Electrical and Electronic Engineering.
Signal, Speech and Image Processing.
Electrical Power Engineering.
Online Access:https://doi.org/10.1007/978-3-031-46990-9
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Table of Contents:
  • Introduction to Machine Learning
  • Evaluation Criteria and Model Selection
  • Machine Learning Algorithms
  • Applications of Machine Learning: Signal/Image Processing
  • Applications of Machine Learning: Energy Systems
  • Applications of Machine Learning: Robotics
  • State of the Art of Machine Learning.

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