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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

The strategy addresses the “what, when, where, why, and how” questions from business leaders concerning the placement of “sensors” that are used to collect the essential data that power the sentinel analytics product, in order to generate timely insights and thereby enable better data-informed “just in time” business decisions. (b)

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Why DataRobot Is Topping the Leaderboard

DataRobot

From MLB to NBA, NHL, premier league, entertainment venues, and broadcast, they all get tremendous value injecting AI into their current processes. During my tenure, they continue to “top the leaderboard” within the AI/machine learning/data science industry. DataRobot works with every major industry.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below. .

Modeling 133
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Information Transmission in a Social Network: Dissecting the Spread of a Quora Post

Edwin Chen

Much of Quora’s appeal, after all, lies in its social graph – and when you’ve got a network of users, all broadcasting their activities to their neighbors, information can cascade in multiple ways. Think, for example, of what happens when your kid learns a new slang word at school. Social Voting Dynamics.

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Announcing the 2020 Data Impact Award Winners

Cloudera

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. To ensure maximum momentum and flawless service the Experian BIS Data Enrichment team decided to use the power of big data by utilizing Cloudera’s Data Science Workbench.

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Next generation tools for data science

The Unofficial Google Data Science Blog

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. pt_rdd = parsed_input_rdd. deepcopy(c_centers) b_c_centers = sc. c_centers = [t.