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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis.

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What is ArchiMate?

erwin

The name conveys its aim to provide a way to visualize an organization’s EA. With ArchiMate, organizations can use visual notations as a representation of their EA over time, by using “layers” and “aspects.”. The framework is populated with “concepts,” which act as visual indications of the nature of elements.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

Exploratory data science and visualization: Access Iceberg tables through auto-discovered CDW connection in CML projects. 7 2002 5271359. Our imported flights table now contains the same data as the existing external hive table and we can quickly check the row counts by year to confirm: year _c1. 1 2008 7009728. 2 2007 7453215.

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3 certification tips for IT leaders looking to get ahead

CIO Business Intelligence

For instance, a lot of IT leaders don’t know that data today has three streams — sciences, visualization, and engineering. Mehta earned a Certified Information Security Auditor certification in 2002 when, he says, “there were only 1,600 such certified professionals globally.” CIOs won’t get this knowledge from their peers.

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Fitting Support Vector Machines via Quadratic Programming

Domino Data Lab

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., 1999) and more. Springer International Publishing. O., & Hart, P.

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Academic Research Done on Arc Diagrams

The Data Visualisation Catalogue

Arc Diagrams: Visualizing Structure in Strings (2002) By Martin Wattenberg Topic: Data Visualisation. The results of this research can be seen in the project The Shape of Song (2002). Thread Arcs: an email thread visualization (2003) By Bernard Kerr Topic: Data Visualisation. Wiebe and Irmtraud M. Proctor, Jing Yun A.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

In their 2002 paper Chawla et al. Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case. 2002) have performed a comprehensive evaluation of the impact of SMOTE- based up-sampling. 2002) provide an example that illustrates the modifications. Generation of artificial examples.