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When applied to financial problems, standard machine learning solutions fail to perform as expected --these solutions are false positives. Advances in Financial Machine Learning (Wiley, 2018) is the first comprehensive textbook that addresses this particular subject. It covers the multiple challenges faced by financial researchers, and explains the specific tools needed to find true positives.
Machine learning is transforming many aspects of our society. This is the most exciting time to become familiar with a technology that will change Finance for generations to come.We are applied scientists to the core. Our solutions are innovative, practical and verifiable. We believe that our customers are best served when they understand our research process.
READ THE ARTICLES
For two decades, our researchers have made groundbreaking contributions to financial research. In contrast to the secrecy that pervades the financial industry, we take pride in our openness, and our numerous collaborations with leading academics and research institutions.
Click here to get a list of over 70 books, journal articles, seminars, code, videos and patents authored by our staff scientists.
Jonathan Spring is the co-founder and chief operating officer of True Positive Technologies. Starting in 1995, Jonathan co-founded several revolutionary algorithmic investment firms, including The Arbitrage Group (with Bernie Rice), AlphaSimplex Group (with Andrew Lo), Black Mesa Capital (with David DeMers), Entropy Partners (with Bin Li) and True North Partners (with David Dahlberg and Scott Simon). Jonathan studied History of Science at Harvard University and graduated with a B.Sc. from the Massachusetts Institute of Technology in 1979.
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