Probabilistic Machine Learning for Finance and Investing (Early Release)

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File Name:PProbabilistic Machine Learning for Finance and Investing (Early Release)STE
Books Type:Digital Version
Genre / Category:E-BOOKS & AUDIO BOOKS
File Size :4.1MB
Updated and Published:September 15, 2022

English | 2022 | ISBN: 9781492097662 | 82 pages | EPUB,MOBI | 4.05 MB

modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory.

These systems treat uncertainties and errors of financial and investing systems as features, not bugs. And they quantify uncertainty generated from inexact inputs and outputs as probability distributions, not point estimates. This makes for realistic financial inferences and predictions that are useful for decision-making and risk management. These systems are capable of warning us when their inferences and predictions are no longer useful in the current market environment.

Probabilistic ML is the next generation ML framework and technology for AI-powered financial and investing systems for many reasons. By moving away from flawed statistical methodologies (and a restrictive conventional view of probability as a limiting frequency), 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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