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Applications of Machine Learning: Energy Systems,rol and power factor correction. By the end of this chapter, the readers will know about the multifaceted applications of machine learning in energy systems; especially electrical engineering students, researchers, and professionals will find it very useful in their practical lives.

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with Python programming examples.Provides examples and exerc.?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 aspect

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Textbook 2024ineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrat

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mples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.978-3-031-46992-3978-3-031-46990-9

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Applications of Machine Learning: Signal Processing,e processing is introduced with its workflow, applications, challenges, and implementation. By the end of this chapter, the readers will have a lot of exposure to machine learning applications in signal processing and be able to use them in real life.