Probabilistic Machine Learning for Finance and Investing - Kanungo, Deepak K.
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By moving away from flawed statistical methodologies, you'll move toward an intuitive view of probability as a mathematically rigorous statistical framework that quantifies uncertainty holistically and successfully. This book shows you how.

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Produktbeschreibung
By moving away from flawed statistical methodologies, you'll move toward an intuitive view of probability as a mathematically rigorous statistical framework that quantifies uncertainty holistically and successfully. This book shows you how.
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Autorenporträt
Deepak Kanungo is an algorithmic derivatives trader, instructor, and CEO of Hedged Capital LLC, an AI-powered proprietary trading company. Since 2019, Deepak has taught tens of thousands of O'Reilly Media subscribers worldwide the concepts, processes, and machine learning technologies for algorithmic trading, investing and finance with Python. In 2005, long before machine learning was an industry buzzword, Deepak invented a probabilistic machine learning method and software system for managing the risks and returns of project portfolios. It is a unique probabilistic framework that has been cited by IBM and Accenture, among others. Previously, Deepak was a financial advisor at Morgan Stanley, a Silicon Valley fintech entrepreneur, a director in the Global Planning Department at Mastercard International and a senior analyst with Diamond Technology Partners. He was educated at Princeton University (astrophysics) and The London School of Economics (finance and information systems).