This is part-5 of the case study on Boost Debt Collections and Recoveries using Machine Learning (MLBR). A machine learning predictive model to enhance the current recovery system by creating focus groups for business to boost debt collection. (more…)

The rapid recent progress in machine learning (ML) has raised a number of scientific questions that challenge the longstanding dogma of the field. One of the most important riddles is the good empirical generalization of overparameterized models. Overpara... (more…)

Learn how machine learning algorithms work from the ground up so you can effectively troubleshoot your models and improve their performance.</b> Fully understanding how machine learning algorithms function is essential for any serious ML engineer... (more…)

We present a brief history of the field of interpretable machine learning (IML), give an overview of state-of-the-art interpretation methods, and discuss challenges. Research in IML has boomed in recent years. As young as the field is, it has over 200 yea... (more…)

A big challenge in neuroscience is understanding how the brain encodes information. Neural networks are turning out to be great code crackers. (more…)