Advances in Financial Machine Learning by Marcos Lopez de Prado
- Advances in Financial Machine Learning
- Marcos Lopez de Prado
- Page: 400
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781119482086
- Publisher: Wiley
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Advances in Financial Machine Learning by Marcos Lopez de Prado Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
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University of Sydney Business School, University of Technology Sydney (UTS), UTS Business School and University of Technology Sydney (UTS) - Faculty of Business. Date Posted: 17 Jan 2018. Last Revised: 30 Jan 2018. 878. 8.Advances in Financial Machine Learning (Chapter 1) · Marcos Lopez de Prado. Lawrence
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Advances in Financial Engineering through Machine Learning. Justin Sirignano. University of Illinois. Abstract. Machine learning has revolutionized image, text, and speech recognition. There is now growing interest in applying machinelearning in finance and engineering. Recently, we have developed machinelearning
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I have been fortunate enough to meet and work extensively with some of the leading figures in Pure Mathematics, Mathematical Finance, Machine Learning, Market Microstructure and Econometrics. The majority of our findings are kept proprietary. From time to time, however, we decide to publish some of them, hence the
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Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn
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It covers financial markets, time series analysis, risk management, financial engineering, statistics and machine learning. The following The following books will take you from introductory time series and econometrics through toadvanced multivariate time series theory at a reasonably comprehensive mathematical level:.
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