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An Introduction to Machine Learning in Quantitative Finance (Paperback or Softba

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Machine learning has revolutionized the field of quantitative finance, allowing for more accurate predictions and faster decision-making. In this book, readers will be introduced to the basics of machine learning and how it can be applied in the world of finance.

From predicting stock prices to optimizing trading strategies, machine learning offers a wide range of applications in quantitative finance. This book will cover the fundamentals of machine learning, including supervised and unsupervised learning, as well as deep learning techniques.

Readers will also learn about the various algorithms used in machine learning, such as regression, classification, and clustering. Real-world examples and case studies will be included to illustrate how machine learning is used in practice in quantitative finance.

Whether you are a finance professional looking to enhance your analytical skills or a student interested in the intersection of finance and technology, this book will provide you with a solid foundation in machine learning in the context of quantitative finance.
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