Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. One type of implementation of a content strategy that is specific to data collections are data catalogs. Data catalogs are very useful and important.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Data Collection.

Data mining 77

Data mining KDD Data Science Forecasting 77

Ontotext

APRIL 4, 2019

We minimized the time between the event (and what the journalist wanted to say about it) and the moment the reader or viewer could consume it. This is extremely powerful, so literacy in data collection and data processing will be one of the crucial skills of the future. Economy.bg: What about journalists?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Domino Data Lab

MAY 20, 2021

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. A rule-learning program in high energy physics event classification. Data mining for direct marketing: Problems and solutions.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136