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Kernel Density Estimation for Anomaly Detection in Python: Part 1
Jan. 4, 2022, 3:44 p.m. | Lilit Yolyan
Towards Data Science - Medium towardsdatascience.com
Combining classic approaches with deep learning for better representations
Photo by Mulyadi on UnsplashFraud detection in the financial datasets, rare event detection in network traffic, visual image inspection for buildings and road monitoring, and defect detection in production lines: these are very common problems where machine learning techniques for Anomaly Detection can be helpful.
In short, anomaly detection is a field of research that aims to find abnormal observations in datasets.For this problem settings, we assume that we …
anomaly detection cutpaste detection kernel kernel-density-estimation part python self-supervised learning
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