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Advances in Financial Machine Learning

By: Publication details: New Jersey: John Wiley & Sons, 2018Description: 366ISBN:
  • 9781119482086
Subject(s): DDC classification:
  • 332.0285631 LOP
Summary: "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"-- Provided by publisher
List(s) this item appears in: New Arrivals for the Month of December - 2023
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Book Book Alliance School of Business 332.0285631 LOP (Browse shelf(Opens below)) Available A27121
Book Book Alliance School of Business 332.0285631 LOP (Browse shelf(Opens below)) Available A27120
Book Book Alliance School of Business 332.0285631 LOP (Browse shelf(Opens below)) 2 Available A25666
Reference Book Reference Book Alliance School of Business 332.0285631 LOP (Browse shelf(Opens below)) 1 Not for loan A25665
Total holds: 0

"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"-- Provided by publisher

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