Machine Learning: An Applied Mathematics Introduction (Paperback or Softback)

Machine Learning: An Applied Mathematics Introduction (Paperback or Softback)

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Machine Learning: An Applied Mathematics Introduction

Are you interested in delving into the world of machine learning but feel intimidated by the complex algorithms and theories behind it? Look no further than this comprehensive introduction to machine learning, focused on the underlying principles of applied mathematics.

In this easy-to-follow guide, you will learn how machine learning algorithms are rooted in mathematical concepts such as linear algebra, calculus, and statistics. By understanding the mathematical foundations of machine learning, you will be able to grasp the reasoning behind different algorithms and make informed decisions when applying them to real-world problems.

Whether you are a student looking to enhance your understanding of machine learning or a professional seeking to expand your skill set, this book is a valuable resource for anyone interested in this rapidly growing field. With practical examples, exercises, and clear explanations, Machine Learning: An Applied Mathematics Introduction will help you build a solid foundation in machine learning and pave the way for further exploration in this exciting field.

Available in paperback or softback, this book is a must-have for anyone looking to demystify the world of machine learning through the lens of applied mathematics. Order your copy today and start your journey towards mastering machine learning.
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