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10 interdisciplinary data articles highlighting the need for diverse skills in AI
If you’re finding it impossible to sift through the 60+ articles I’ve published on Medium, maybe some compilations can help! Here are my 10 best articles for highlighting some of the not-just-AI disciplines and skills that make AI projects tick. Enjoy!
#1 Data science leaders
Data Science Leaders: There are too many of you
#2 Analysts
What Great Data Analysts Do - and Why Every Organization Needs Them
#3 Business decision-makers
The first step in AI might surprise you
#4 UX designers
Data science effectiveness as a UX problem
#5 Statisticians
Whose fault is it when AI makes mistakes?
#6 Lawyers
Populations — You’re doing it wrong
#7 Reliability engineers
How to prevent embarrassment in AI
#8 Researchers
Secret Paragraphs from HBR’s Analytics
#9 Data engineers, social scientists, and more
Top 10 roles in AI and data science
#10 Leaders, economists, ethicists, and more
Getting started with AI? Start here!
Data Science Love Letters was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
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