Remove 2007 Remove Data Processing Remove Testing
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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. For example, consider a smaller website that is considering adding a video hosting feature to increase engagement on the site. Here, day-of-week is a time-based confounder.

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Teaching AI to Smell by Using DataRobot

DataRobot

To foster innovation in this area, AICrowd hosted a competition to predict the olfactory properties of a molecule. It was introduced in 1980 but open-sourced in 2007, which created its widespread use. The competition metric is the maximum Tanimoto score of the top five recommendations to the ground truth averaged over the test dataset.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

While it may be a little abstract, this concept forms a key piece of Classical Test Theory (CTT) , a foundation of psychometrics. Once we take this step, we encounter a host of interesting challenges: people's judgments can be noisy and biased, and often the concept that we are measuring has no single objective value.