Reducing the memory consumption of your code means reducing hardware requirementsContinue reading on Towards Data Science »

ML Engineering 101: A Thorough Explanation of The Error “DataLoader worker (pid(s) xxx) exited unexpectedly”A deep dive into PyTorch DataLoader with MultiprocessingAs one of the many who use the PyTorch library on a day-to-day basis, I believe many ML engineer sooner or later encounters the problem “DataLoader worker (pid(s) xxx) exited unexpectedly”...

Causal AI, exploring the integration of causal reasoning into machine learningPhoto by Melanie Deziel on UnsplashWhat is this series of articles about?Welcome to my series on Causal AI, where we will explore the integration of causal reasoning into machine learning models. Expect to explore a number of practical applications across different business...

How to project, shift, and rotate geospatial dataContinue reading on Towards Data Science »

A simple python rules-induction systemThis article is part of a series covering interpretable predictive models. Previous articles covered ikNN and Additive Decision Trees. PRISM is an existing algorithm (though I did create a python implementation), and the focus in this series is on original algorithms, but I felt it was useful enough to warrant it’s...

How ChatGPT improved my productivity as a data scientistContinue reading on Towards Data Science »