Machine Learning For Engineers(1st Edition)
Authors:
Osvaldo Simeone
In Stock: 2 Left
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Total Price:
$0
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 1316512827, 9781316512821
Book publisher: Cambridge University Press
Book Price $0 : Machine Learning For Engineers by Osvaldo Simeone is a comprehensive guide designed to introduce engineers to the fundamental concepts of machine learning with a focus on practical applications in engineering fields. The book begins with an exploration of statistical learning theory, introducing key concepts such as supervised learning, unsupervised learning, and reinforcement learning. It delves into various machine learning algorithms, including support vector machines, neural networks, and deep learning, providing engineers with a robust framework to understand and apply these techniques. Moreover, the text emphasizes the integration of machine learning models into existing engineering systems, leveraging Python and other programming languages for real-world implementations. The 'table of contents' of the book is meticulously organized, guiding readers from basic principles to advanced topics, ensuring that each chapter builds on the previous one. To facilitate self-study, the book includes a 'solution manual' that addresses problem sets and practical exercises, while the 'Answer Key' assists in the reinforcement of learning outcomes. Overall, this text is well-received for its clarity and the practical focus it provides engineers transitioning into the realm of machine learning. Readers will find a cheap way to deepen their understanding without overspending.
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