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KDD 2020 Opens Call for Papers

Data Science 101

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). KDD 2020 welcomes submissions on all aspects of knowledge discovery and data mining, from theoretical research on emerging topics to papers describing the design and implementation of systems for practical tasks. 1989 to be exact. 22-27, 2020.

KDD 81
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How Do Super Rookies Start Learning Data Analysis?

FineReport

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. For super rookies, the first task is to understand what data analysis is.

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Fundamentals of Data Mining

Data Science 101

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining. Regression Analysis is a statistical method for examining the relationship between two or more variables.

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Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

Now let’s implement a simple machine learning scoring function against our test data. F-statistic: 599.7 custom machine learning algorithms), etc. codes: 0 ‘ ’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ on 1 and 390 DF, p-value: < 2.2e-16. About Domino.

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Performing Non-Compartmental Analysis with Julia and Pumas AI

Domino Data Lab

We can group by study arm and calculate various statistics as mean and standard deviation. The openness of the Domino Data Science platform allows us to use any language, tool, and framework while providing reproducibility, compute elasticity, knowledge discovery, and governance. We can extract the two in a separate DataFrame.

Metrics 59
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Knowledge Graphs 101: The Story (and Benefits) Behind the Hype

Ontotext

Given that many researchers say that between 75-85% of an organization’s knowledge is locked in static documents, tremendous value and wisdom are being missed. NLP pipelines benefit enormously, as sophisticated text analysis methods can be used when combining machine learning with knowledge graphs.