Books like Advances in Financial Machine Learning by Marcos Lopez de Prado

xvi, 256 p. : 24 cm

A practical guide for enterprise leaders, outlining corporate finance principles, budgeting, and managerial accounting techniques essential for chief financial officers and executives.

A practical guide to the market‑neutral pairs trading strategy, outlining quantitative tools and tested formulas for selecting and managing asset pairs.

An essential guide for investment professionals, Practical Portfolio Performance Measurement and Attribution explains how to calculate and interpret performance returns, providing clear, applied techniques for today’s financial markets.

"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"--