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Digital Audiobook
Advances in Financial Machine Learning by Marcos Lopez de Prado

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Advances in Financial Machine Learning

Publisher
Ascent Audio
Publish Date
19 June 2018
Run Time
12 hours 59 minutes
Format
Audiobook
$13.95

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What to expect

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. Listeners 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; and how to backtest their 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. Listeners 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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Details

Author
Marcos Lopez de Prado
Narrator
Steven Jay Cohen
Duration
12 hours 59 minutes
Release Date
19 June 2018
ISBN
9781469098708
Format
Audiobook
Publisher
Ascent Audio
Genre
Business and Management, Finance, Information technology: general topics, Databases, Algorithms and data structures, Database design and theory, Information architecture, Mathematical theory of computation, Machine learning

Synopsis

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. Listeners 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; and how to backtest their 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. Listeners 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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