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DataKitchen’s 2020 Honors & Awards

DataKitchen

In June of 2020, CRN featured DataKitchen’s DataOps Platform for its ability to manage the data pipeline end-to-end combining concepts from Agile development, DevOps, and statistical process control: DataKitchen. Massachusetts-headquartered DataKitchen was co-founded by Christopher Bergh, Eric Estabrooks and Gil Benghiat in 2013.

Testing 241
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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. We enhanced support for querying Apache Iceberg data and improved the performance of querying Iceberg up to threefold year-over-year.

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How Insurance Companies Use Data To Measure Risk And Choose Rates

Smart Data Collective

Statistics show that married people have fewer car accidents than singletons. Insurance companies have access to crime statistics and can track the number of car theft and break-ins per neighborhood. Marital status. The assumption is that married people tend to drive more carefully with children in the car.

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Top Companies to work for if you are a data scientist

Data Science 101

While data science is unquestionably a fantastic career path regarding the impressive ratings and the fact that it is such an in-demand job, statistics show that there will be no slowing down for the surprisingly rapid increase for the demand of data scientists around the globe. Checkout: Reltio Careers. #5 Checkout: Looker Careers.

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5-Star Linked Open Elections Data 

Ontotext

For these reasons, we have applied semantic data integration and produced a coherent knowledge graph covering all Bulgarian elections from 2013 to the present day. Easily accessible linked open elections data.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

In 2013, less than 0.5% For those embarking on a journey to master the art of the ‘R’ language – a statistical computing program and framework for increased business intelligence-based success – Advanced R is intuitive, easy to follow, and will give you a well-rounded overview of this invaluable area of data science.

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Why you should care about debugging machine learning models

O'Reilly on Data

1] “All models are wrong, but some are useful.” — George Box, Statistician (1919 – 2013). [2] Those interested in more details can dig deeper into the code on GitHub used to create the examples in this post. [16] 17] Hopefully some of these techniques will work for you and your team. If so, have fun debugging! [1]