Category: Data Science

Author: mtdearing The terms “interpretability,” “explainability” and “black box” are tossed about a lot in the context of machine learning, but what do they really […] Read More

Author: Gregory PS Editor Also: Ain’t No Such a Thing as a Citizen Data Scientist; Building Neural Networks with PyTorch in Google Colab. Go to […] Read More

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Author: Kurt Cagle From The Editor’s Desk This version of the DSC Weekly Digest is running a bit late, in part because the editor (me), […] Read More

Author: Matt Mayo Editor In order to build automated data processing systems, we require professionals like Machine Learning Engineers and Data Scientists. But which of […] Read More

Author: /u/datascience-bot Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More

Author: Matt Mayo Editor In this blog post, you’ll learn what to keep track of to inspect/debug your agent learning trajectory. I’ll assume you are […] Read More

Author: Tarun Saini Machine Learning is an important skill to have in today’s age. But acquiring the skill set could take some time especially when […] Read More

Author: Matt Mayo Editor Cloud migration requires a careful planning process to ensure all systems work as they should. Use this checklist, sponsored by Immuta […] Read More

Author: Vincent Granville Here is our selection of featured articles and technical resources posted since Monday: Announcements Fully online MS in Data Science at CUNY […] Read More