O'Reilly on Data
MARCH 31, 2020
Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.
CIO Business Intelligence
SEPTEMBER 19, 2023
Columbia University professor David Rogers, author of Digital Transformation Playbook and The Digital Transformation Roadmap , published in September, says it doesn’t have to be that way. How can enterprises attain these in the face of uncertainty? They should rather manage through experimentation.
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The Unofficial Google Data Science Blog
JULY 22, 2020
Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. Companies like Google [2], Amazon [3], and Microsoft [4] have all published scholarly articles on this topic.
The Unofficial Google Data Science Blog
APRIL 16, 2019
by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. In fact, this blog has published posts on this very topic. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime.
O'Reilly on Data
SEPTEMBER 11, 2019
Since 1977, for example, the Institute of Electrical and Electronics Engineers (IEEE) has published the Data Engineering Bulletin , a quarterly journal that focuses on engineering data for use with database systems [2]. In the third place, there’s uncertainty about what to do with all of this data.
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