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O'Reilly Probabilistic Machine Learning for Finance and AI

Amazon

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Description

Master the next generation of artificial intelligence with Probabilistic Machine Learning for Finance and Investing by O'Reilly. This book explores how probabilistic ML frameworks provide a superior approach to financial modeling by learning continually from small, noisy datasets. Unlike traditional methods, this generative ensemble enables seamless probabilistic inference, retrodiction, prediction, and counterfactual reasoning. Learn to systematically encode personal, empirical, and institutional knowledge directly into your machine learning models. Whether you are working with academic theories or specific ML strategies, this guide addresses the reality of modeling errors in finance. It provides the tools necessary to mitigate these errors, helping you build more robust models for investing and financial analysis using Python.

Key Features

This O'Reilly book provides a primer on using probabilistic machine learning for finance and investing.

Learn to apply generative ensemble methods that learn continually from small and noisy financial datasets.

The text covers advanced capabilities including probabilistic inference, retrodiction, prediction, and counterfactual reasoning.

Discover how to systematically encode personal, empirical, and institutional knowledge into your ML models.

Gain methods to mitigate modeling errors in financial strategies and academic-based models using Python.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 August 2023
Listed Since
18 January 2023

Barcode

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