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6 Spectacular Reasons You Must Master the Data Sciences in 2020

Smart Data Collective

The concept of data science was first introduced in 2001, but it started gaining popularity in 2010. The insights extracted from data are presented to a human in a friendly form, or a computer program uses it to make decisions without any hardcoded instructions. Sexiest Job of 21 st Century.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Enterprise Repository Era” (1990–2010) – first generation DG solutions. More Policies Emerged” (2010-2018). My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. A very big mess since circa 2001, and now becoming quite a dangerous mess. It’s a mess.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

After the design of this “architectural plan untested by anything except thought experiments”, in 2001 the Semantic Web seized the public’s imagination with a seminal article featured in Scientific American called: The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities.

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Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

2] Lawrence Brown, Tony Cai, Anirban DasGupta (2001). Statistics in Biopharmaceutical Research, 2010. [4] Unpublished book chapter on importance sampling. [2] Interval Estimation for a Binomial Proportion. Statistical Science. 16 (2): 101–133. [3] 3] Xin Yan, Xiao Gang Su. 4] William Cochran (1977). Sampling Techniques pp 132-134. [5]

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