Welcome to ” Artificial intelligence and machine learning,” a collaborative
effort by a diverse group of authors, each contributing their unique
expertise and insights to this dynamic field. Artificial intelligence and
machine learning has emerged as a cornerstone of modern electrical
engineering, playing a crucial role in the efficient management and
conversion of electrical energy. As we move towards a more sustainable
future, the importance of Artificial intelligence and machine learning
continues to grow, driving innovations in renewable energy systems,
electric vehicles, and smart grid technologies.
This book aims to provide a comprehensive overview of the latest
developments in Artificial intelligence and machine learning, blending
theoretical foundations with practical applications. Each chapter is
written by experts who bring a wealth of knowledge and experience,
ensuring that readers gain a well-rounded understanding of the subject.
We have organized the book into several key sections, covering topics
such as semiconductor devices, converter design, control strategies, and
emerging applications. This structure allows readers to delve into specific
areas of interest while also providing a cohesive understanding of how
these elements interconnect within the broader landscape of Artificial
intelligence and machine learning.
Our goal is to cater to a diverse audience, from students and educators
to industry professionals and researchers. Whether you are seeking to
deepen your knowledge, find practical solutions, or explore the latest
research trends, we hope this book serves as a valuable resource.
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Artificial Intelligence and Machine Learning by Dr. Ravi Hosur,Dr. Daneshwari A Noola
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Using IBM SPSS Statistics
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ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING BY Dr. Ravi Hosur, Dr. Daneshwari A Noola
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Weight | 0.5 kg |
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Dimensions | 21 × 30 × 5 cm |
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