Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python Kanungo Deepak K.
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python Kanungo Deepak K. Whether based on academic theories or discovered empirically by humans and machines,…
Specifikacia Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python Kanungo Deepak K.
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python Kanungo Deepak K.
Whether based on academic theories or discovered empirically by humans and machines, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. They quantify uncertainty generated from inexact model inputs and outputs as probability distributions, not point estimates. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory.Unlike conventional AI systems, probabilistic machine learning (ML) systems treat errors and uncertainties as features, not bugs.
These ML systems provide realistic support for financial decision-making and risk management in the face of uncertainty and incomplete information. Most importantly, these systems are capable of forewarning us when their inferences and predictions are no longer useful in the current market environment.