[DOWNLOAD] Machine Learning in Finance: From Theory to Practice PDF Github

Machine Learning in Finance: From Theory to Practice PDF Github
Machine Learning in Finance: From Theory to Practice PDF Github
eBook: Machine Learning in Finance: From Theory to Practice PDF by Igor Halperin, Matthew F. Dixon, and Paul Bilokon

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This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance.

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June 27, 2021
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