About QT-Analytics
QT-Cores specializes in finding new insights and capitalization of enterprise data by combining analytics and ML algorithms. They are used for creating a software suite that can manage and retrieve data from a variety of sources, perform statistical analysis and deep learning model on it.
QT-Analytics consists DATA steps, which retrieve and manipulate data, and PROC steps, which analyze the data.
The DATA step provides instructions to read a data set or alter the data's appearance. Data sets are organized into tables with rows called "observations" and columns called "variables". Additionally, each piece of data has a descriptor and a value.
New of QT: duel with realistic problems of data: oversampling and under sampling.
The PROC step performs analysis and reporting on data sets to produce statistics, analyses, and graphics. They can also display results, sort data or perform other operations.
New of QT: focusing on descriptive statistics and visualization, apply more ML techniques such as network to describe characteristics of data more clearly.
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Data QT-Analytics
Created
United States,
December/2019
Status
Startup
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