Data Science Reading List

A broad collection of articles for my team of data scientists. Although they are the target audience, anybody and everybody is welcome!

Jeff M
Machine Learning
Bounding your ML models: Don’t let your algorithms run wild
VentureBeat - Niv Mizrahi, Emedgene
The purpose of designing and training algorithms is to set them loose in the real world, where we expect performance to mimic that of our carefully curated training data set. But as Mike Tyson put it,...
Apr 4
Jeff M
5 steps to creating a responsible AI Center of Excellence
VentureBeat - Phaedra Boinodiris, IBM
To practice trustworthy or responsible AI (AI that is truly fair, explainable, accountable, and robust), a number of organizations are creating in-house centers of excellence. These are groups of trustworthy...
Feb 28
Jeff M
Data Science Reveals Why the Best Business Writers Avoid Certain Words. Turns Out Bestselling Authors Do, Too
Inc Magazine - Jeff Haden
Stephen King hates adverbs. And why, if the goal of writing is to get result, you should too. Consider two sentences, one with an adverb and the other an active verb: "He closed the door firmly." • "He...
Feb 15
Jeff M
Learning
Machine Learning Helps You Track Your Internet Misery Index
hackaday.com - Dan Maloney
We all seem to intuitively know that a lot of what we do online is not great for our mental health. Hang out on enough social media platforms and you …
Feb 15
Jeff M
Build your own workout app in 5 steps—without coding
cloudblog.withgoogle.com - Chris Bailey
Conquer New Year’s resolutions by using Google Cloud’s AppSheet to build a customizable fitness tracking app— without writing any code.
Jan 19