Machine Learning in Finance: From Theory to Practice

Machine Learning in Finance is a comprehensive guide to using machine learning methods in finance, covering both supervised and unsupervised learning techniques.

With an emphasis on practical applications, this book provides readers with a solid understanding of how to use machine learning algorithms to analyze financial data and make informed investment decisions.

The book covers a range of topics, including neural networks, Gaussian processes, and reinforcement learning, and includes over 80 exercises for readers to test their understanding.

Whether you're an advanced graduate student or a professional in the finance industry, this book is essential reading for anyone looking to harness the power of machine learning in finance.