Description: Title: Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python Author: Kanungo, Deepak K. Publisher: O'Reilly Media Binding: Paperback Pages: 264 Dimensions: 9.10h x 6.90w x 0.70d Product Weight: 0.95 lbs. Language: English ISBN: 9781492097679 There are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. This generative ensemble learns continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, retrodiction, prediction, and counterfactual reasoning. Probabilistic ML also lets you systematically encode personal, empirical, and institutional knowledge into ML models. Whether they're based on academic theories or ML strategies, all financial models are subject to modeling errors that can be mitigated but not eliminated. Probabilistic ML 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. Unlike conventional AI, these systems are capable of warning us when their inferences and predictions are no longer useful in the current market environment. By moving away from flawed statistical methodologies and a restrictive conventional view of probability as a limiting frequency, youà Ã?Â[ ll move toward an intuitive view of probability as logic within an axiomatic statistical framework that comprehensively and successfully quantifies uncertainty. This book shows you how. Ships Fast From The USA! Authorized Dealer
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Book Title: Probabilistic Machine Learning for Finance and Investing: A Prime
Number of Pages: 264 Pages
Language: English
Publication Name: Probabilistic Machine Learning for Finance and Investing : a Primer to Generative Ai with Python
Publisher: O'reilly Media, Incorporated
Subject: Machine Theory, Data Modeling & Design, Finance / General, Intelligence (Ai) & Semantics, Programming Languages / Python
Item Height: 0.9 in
Publication Year: 2023
Type: Textbook
Item Weight: 14.6 Oz
Item Length: 9.2 in
Subject Area: Computers, Business & Economics
Author: Deepak K. Kanungo
Item Width: 7 in
Format: Trade Paperback
