Abstract: The paper shows the trade-offs between interpretability, computation cost and accuracy of many algorithms for fraud detection from machine learning perspective which provides important clues ...

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative ...

This is a simple jupyter notebook for stock price prediction. As a model I've used the linear, ridge and lasso model.

Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. LDS Church's presidency reveal sparks "hilarious" ...