Marcos M. Lopez de Prado
López de Prado on machine learning in finance « Mathematical Investor
Thinknum Alternative Data - Thank you Marcos Lopez de Prado for delivering an inspiring keynote presentation on "Ten Financial Applications of Machine Learning" at External Data Conference on Nov 5th. For those
Marcos López de Prado joins AQR as head of machine learning
The 7 Reasons Most Machine Learning Funds Fail Marcos Lopez de Prado from QuantCon 2018 - YouTube
In conversation with Marcos Lopez de Prado and Alexander Lipton
Upcoming webinars from CFA Institute — CFA Society Finland
Marcos Lopez de Prado · OverDrive: ebooks, audiobooks, and more for libraries and schools
Conference Recap: The Rise of Machine Learning in Asset Management | Yale School of Management
Quantopian - Dr. Marcos López de Prado returns as keynote QCNYC18 | Facebook | By Quantopian | We welcome back Dr. Marcos López de Prado, multibillion-dollar fund manager and author, as a
Amazon.com: Marcos López de Prado: books, biography, latest update
Marcos López de Prado on Twitter: "Thanks to #RamaCont and #ÁlvaroCartea for inviting me to speak at Oxford's Mathematical Institute, discuss the future of quantitative research, and present the nested-clustered optimization method. @
Global Derivatives 2015 - Interview with Marcos Lopez de Prado, Guggenheim Partners - YouTube
Marcos M. Lopez de Prado
Marcos López de Prado | Operations Research and Information Engineering
MLX 2018 - Marcos López de Prado, Lawrence Berkeley National Laborat…
QuantCon NYC 2018 review – Cuemacro
Watch Cornell's Lopez de Prado Sees Financial Reckoning With AI - Bloomberg
Marcos Lopez de Prado - Global Head - Quantitative Research & Development - Abu Dhabi Investment Authority (ADIA) | LinkedIn
Marcos López de Prado on Twitter: "Cornell Engineering students will soon be enrolling in the Fall 2020 courses. Here are some of the topics that they will learn at ORIE 5256 (Advances
MARCOS LOPEZ DE PRADO | Portfolio Management Research
Marcos López de Prado on Twitter: "The False Strategy Theorem states that, with enough number of backtests, any Sharpe ratio level is achievable, even if the underlying investment strategy is unprofitable. Find
Marcos Lopez de Prado, Ph.D » CFA Society New York
