Machine Learning: An Applied Mathematics Introduction, Wilmott, Paul, 9781916081

Machine Learning: An Applied Mathematics Introduction, Wilmott, Paul, 9781916081

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Machine Learning: An Applied Mathematics Introduction by Paul Wilmott

If you’re looking to delve into the world of machine learning and its applications in various fields, then Paul Wilmott’s book is the perfect guide for you. In “Machine Learning: An Applied Mathematics Introduction,” Wilmott explores the fundamentals of machine learning through the lens of applied mathematics.

With a background in quantitative finance and mathematics, Wilmott provides readers with a unique perspective on how machine learning algorithms are developed and applied in real-world scenarios. From regression analysis to neural networks, this book covers a wide range of topics in machine learning, making it suitable for both beginners and experienced practitioners.

Whether you’re a student studying mathematics or a professional looking to enhance your skills in machine learning, this book is a valuable resource that will help you understand the underlying principles and techniques of this rapidly growing field.

ISBN: 9781916081

Get your hands on “Machine Learning: An Applied Mathematics Introduction” by Paul Wilmott and start exploring the exciting world of machine learning today!
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