Risk Before Returns: A Practitioner's AI Toolkit for Capital Preservation
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The enthusiastic response that we got from our very first blog post, published in 2018 on Google’s TensorFlow Probability blog, and the fact that it caught the attention of the SEC’s Division of Trading and Markets, sparked the idea for this book.
Our award-winning book has already been cited in several high-quality journals in applied and computational engineering, data science, analytics, and symbolic logic.
It is now recommended reading for a graduate level course in machine learning in finance and economics at a Polish University and an MBA course at an Indian business school. It was also on the recommended reading list of the library of Bank of Mexico.
Furthermore, it has been translated into Chinese by three human subject matter experts.