Remove Experimentation Remove Statistics Remove Testing Remove Workshop
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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

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What Are ChatGPT and Its Friends?

O'Reilly on Data

BLOOM An open source model developed by the BigScience workshop. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. And it can look up an author and make statistical observations about their interests. Again, ChatGPT is predicting a response to your question.

IT 264
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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. evaluate the effects of models on human subjects.