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6 Spectacular Reasons You Must Master the Data Sciences in 2020

Smart Data Collective

It is understandable that many computer science majors are considering pursuing careers in this evolving field. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. The concept of data science was first introduced in 2001, but it started gaining popularity in 2010.

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Artificial Intelligence: Implications On Marketing, Analytics, And You

Occam's Razor

While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016. trillion pictures in 2016. One key thing that stymied my efforts, and likely your ML efforts, in 2016 was Identity.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. Introduction Time series data appear in a surprising number of applications, ranging from business, to the physical and social sciences, to health, medicine, and engineering.

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Rethinking the IT talent pipeline

CIO Business Intelligence

In the 2023 State of the CIO report , IT leaders said they were most concerned about finding qualified experts in advanced areas such as cybersecurity, blockchain, and data science and analytics. Internal talent is gold, and we’re making sure our current employees find places to grow and modernize their skill sets.”

IT 111
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Time Series with R

Domino Data Lab

Conducting exploratory analysis and extracting meaningful insights from data are core components of research and data science work. Time series data is commonly encountered. We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system.

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What is a Citizen Data Scientist and How Has the Role Changed?

Smarten

The Definition and Evolution of the Citizen Data Scientist Role The world-renowned technology research firm, Gartner, first introduced the concept of the Citizen Data Scientist in 2016. Who is a Citizen Data Scientist ? Citizen Data Scientist candidates may also be IT team members who are interested in data science.