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Author(s): Madhav Kapoor1

Email(s): 1kapoormadhav2005@gmail.com


    St. George International School, C. de los Padres Dominicos, 1, 28050 Madrid

Published In:   Volume - 3,      Issue - 2,     Year - 2023

DOI: 10.55878/SES2022-2-1-5  

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Artificial intelligence (AI) and machine learning (ML) have transformed numerous domains by enabling systems to learn from data and make intelligent decisions. Within the field of ML, probabilistic machine learning has gained significant attention due to its ability to capture uncertainty and provide predictions based on probabilities. This essay explores the concept of probabilistic machine learning and its applications in AI. We delve into the fundamentals of machine learning, discuss probabilistic modeling, explore various probabilistic machine learning techniques, highlight the advantages of probabilistic approaches, and examine real-world applications. Additionally, we address the challenges associated with probabilistic machine learning and discuss future directions in this exciting field.

Cite this article:
Madhav Kapoor * (2023), Probabilistic Machine Learning and Artificial Intelligence, Spectrum of Emerging Sciences, 3 (2), pp 29-36DOI: https://doi.org/10.55878/SES2022-2-1-5


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DOI: 10.55878/SES2022-2-1-5         Access: Open Access Read More