Machine Learning in Finance: From Theory to Practice

Introduces fundamental concepts in machine learning for canonical modeling and decision frameworks in finance

Presents a unified treatment of machine learning, financial econometrics and discrete time stochastic control problems in finance

Chapters include examples, exercises and Python codes to reinforce theoretical concepts and demonstrate the application of machine learning to algorithmic trading, investment management, wealth management and risk management