The Unofficial Google Data Science Blog
APRIL 23, 2024
To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.
O'Reilly on Data
MARCH 19, 2020
We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. Although TensorFlow grew by just 3%, it, too, garnered 22% share of AI/ML usage in 2019.
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Domino Data Lab
JUNE 13, 2019
“Hundreds of publications report increasingly good performance on this same test set [10,000 samples]. 2018 , 2019 ], the rediscovery of the 50,000 lost MNIST test digits provides an opportunity to quantify the degradation of the official MNIST test set over a quarter-century of experimental research.”
O'Reilly on Data
APRIL 19, 2021
The percentage of respondents reporting “mature” practices has been roughly the same for the last few years. This is almost exactly in line with the results from 2020, where 25% of the respondents reported that they had products in production (“Mature” wasn’t a possible response in the 2020 survey.). Bottlenecks to AI adoption.
Domino Data Lab
JANUARY 24, 2019
In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Enterprises with teams of data scientists select these solutions to enable accelerated experimentation for individuals while simultaneously driving collaboration and governance for the organization. Reflections.
CIO Business Intelligence
FEBRUARY 8, 2024
He came to Edward Jones in 2016 after a 30-year career in technology on Wall Street and was named chief information officer in 2018. Leveraging the right technical solutions for unique business problems will require experimentation and will result in advances in the technology supported across teams. technology and ops budget.
Sanjeev Mohan
FEBRUARY 6, 2019
By the middle of 2018, GDPR was in effect and our clients’ attention shifted towards cloud migration. GCP has gained acceptance for development and experimentation and more enterprise customers are putting it into production. You can view the entire research report here (requires Gartner subscription).
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