Tag Archives: outlier

Out of Distribution Data Detection in Deployed Machine Learning Models

Posted on February 25, 2022 by Pranab

If a deployed machine learning model encounters an out of distribution data, it should either reject it or delegate it to a human reviewer for further investigation and decision making. A sample is out of distribution (OOD) when it is … Continue reading →

Posted in AI, Machine Learning, mlops, Outlier Detection, Python, PyTorch | Tagged , , | Leave a comment

Fraudsters are not Model Citizens

Posted on February 18, 2012 by Pranab

In my earlier post, I did an overview of the outlier detection techniques in big data and specifically Hadoop context. As I mentioned, fraud detection is essentially translates to outlier detection in data mining parlance. In his post, I will … Continue reading →

Posted in Big Data, Fraud Detection, Hadoop and Map Reduce | Tagged , , | 7 Comments

Fraudsters, Outliers and Big Data

Posted on January 2, 2012 by Pranab

Recently, I started working on Hadoop based solutions for fraud detection. Fraud detection is critical for many industries,  including  but not limited to financial,  insurance  and retail. Data mining is a key enabler in effective fraud detection. In this and … Continue reading →

Posted in Big Data, Data Mining, Fraud Detection | Tagged , , | 24 Comments