The Unofficial Google Data Science Blog
APRIL 23, 2024
If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. And we can keep repeating this approach, relying on intuition and luck. Why experiment with several parameters concurrently?
CIO Business Intelligence
JANUARY 2, 2024
With AI being the talk of 2023, [there were questions on] how do we, as a company, handle its adoption, governance, and education about it to our employees,” he says. He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024. Statistics can be very misleading.
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IBM Big Data Hub
MAY 17, 2024
” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Teams are comfortable with experimentation and skilled in using data to inform business decisions.
CIO Business Intelligence
DECEMBER 6, 2023
And in addition to having generative AI cite the sources of key information, consider ways to highlight elements that are important to double check, like dates, statistics, policies, or precedents that are being relied on. Human reviewers should be trained to critically assess AI output, not just accept it at face value.”
IBM Big Data Hub
SEPTEMBER 25, 2023
Presto provides a long list of functions, operators, and expressions as part of its open source offering, including standard functions, maps, arrays, mathematical, and statistical functions. Data Exploration and Innovation: The flexibility of Presto has encouraged data exploration and experimentation at Uber.
Depict Data Studio
MARCH 27, 2023
About the Instructor: Stefanie Posavec According to Stefanie’s website , she is “a designer, artist, and author exploring experimental approaches to communicating data and information to all ages and audiences.” Possibly in June 2023! I like to lie to myself and pretend that I can set aside time for learning, but I can’t.
IBM Big Data Hub
APRIL 18, 2024
LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.
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