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DataRobot Blog
APRIL 29, 2022
With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.
CIO Business Intelligence
SEPTEMBER 21, 2023
AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. But, until this year, this was a relatively manageable problem since the AI projects had limited scope.
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Domino Data Lab
JANUARY 6, 2019
In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.
O'Reilly on Data
MARCH 23, 2023
ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. What is it, how does it work, what can it do, and what are the risks of using it? A quick scan of the web will show you lots of things that ChatGPT can do. GPT-2, 3, 3.5,
The Unofficial Google Data Science Blog
APRIL 23, 2024
This blog post discusses such a comprehensive approach that is used at Youtube. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. the fraction of video recommendations resulted in positive user experiences).
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