Advances in Financial Machine Learning

Advances in Financial Machine Learning

作者: Marcos Lopez de Prado
出版社: Wiley
出版在: 2018-02-21
ISBN-13: 9781119482086
ISBN-10: 1119482089
裝訂格式: Hardcover
總頁數: 400 頁





內容描述


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.




相關書籍

AI 新世界:中國、矽谷和 AI七巨人如何引領全球發展

作者 李開復

2018-02-21

Programming the BBC micro:bit: Getting Started with MicroPython (Paperback)

作者 Simon Monk

2018-02-21

Deep Learning 深度學習基礎|設計下一代人工智慧演算法 (Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms)

作者 Nikhil Buduma 藍子軒

2018-02-21