Data Science 101

DECEMBER 11, 2019

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

KDD Knowledge Discovery Data mining Data Science 81

FineReport

DECEMBER 19, 2019

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.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Data Science 101

OCTOBER 31, 2019

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

Data mining 77

Data mining KDD Data Science Forecasting 77

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. Because individual observations have so little information, statistical significance remains important to assess.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

Domino Data Lab

DECEMBER 4, 2020

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

Metrics Data Science Knowledge Discovery Measurement 59

Domino Data Lab

JUNE 15, 2021

F-statistic: 599.7 This facilitates knowledge discovery, handover, and regulatory compliance, and allows the individual data scientists to focus on work that accelerates research and speeds model deployment. codes: 0 ‘ ’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ on 1 and 390 DF, p-value: < 2.2e-16. About Domino.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69