Remove 2014 Remove Experimentation Remove Testing
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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

billion company’s scientific, commercial, and manufacturing businesses since joining the company in 2014. The company’s multicloud infrastructure has since expanded to include Microsoft Azure for business applications and Google Cloud Platform to provide its scientists with a greater array of options for experimentation.

Data Lake 124
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

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.

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What is DataOps? Principles and Benefits

Octopai

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Issue detected? This means that more focused development can happen faster. .

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Media-Mix Modeling/Experimentation. Media-Mix Modeling/Experimentation. Surely you are not surprised that digital finally beats TV. What was surprising, even to me (!),

Metrics 143
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Real-Real-World Programming with ChatGPT

O'Reilly on Data

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

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What Is DataOps? Definition, Principles, and Benefits

Alation

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. Automated testing to ensure data quality. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. Source: Google Trends. How Does DataOps Provide Value?

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

At the time—in 2014—the three were colleagues working. Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick.