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A Brief History of Data Visualization

Jet Global

Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources.

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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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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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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

That same year, as well as in 2013, there were two separate instances of more data loss via misplaced USB drives. Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits. Ponder the statistics and points of focus here as you plan how to proceed.

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Ada Developers Academy: A no-cost career program that aims to diversify IT

CIO Business Intelligence

Ada Developers Academy, founded in 2013, is a nonprofit coding school for women and gender-expansive adults — and it’s completely free. The academy’s goal is to “solve the tech pipeline issue and help create diverse teams,” with a focus on serving low-income Black, Latine, Indigenous, Pacific Islander, and LGBTQIA+ communities.

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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]

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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.