S L Happy

Happy is a seasoned ML professional with over 15 years of experience. His expertise spans various domains, including Computer Vision, Natural Language Processing (NLP), and Time Series analysis. He holds a PhD in Machine Learning from IIT Kharagpur and has furthered his research with postdoctoral experience at INRIA-Sophia Antipolis, France. Happy has a proven track record of delivering impactful ML solutions to clients.

Anomaly Detection: A Comprehensive Overview

Anomaly detection, also known as outlier detection, aims at identifying instances that deviate significantly from the norm within a dataset. […]

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