This article presents a detailed mock interview focused on applying unsupervised and semi-supervised machine learning techniques to fraud detection.
The dialogue explores the candidate's expertise in using autoencoders, isolation forests, and graph-based methods like graph neural networks.
It covers aspects such as model architecture, hyperparameter tun…
Keep reading with a 7-day free trial
Subscribe to ABINASH KUMAR MISHRA to keep reading this post and get 7 days of free access to the full post archives.