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). Machine learning provides the technical basis for data mining.

Data mining 77

Data mining KDD Data Science Forecasting 77

FineReport

JULY 16, 2021

Business intelligence (BI) leverages data analysis to form actionable insights that inform an organization’s strategic and tactical business decisions. Data Mining. In practical applications, data mining is also used to mine the past and predict the future. Significant advantages. Free Download.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

The Unofficial Google Data Science Blog

JANUARY 14, 2016

To understand this better we need a few definitions. But if a small fraction of user sessions have any purchase at all, then the coefficient of variation for the metric (sale price per session) will necessarily be even larger than that of the binary event (sessions with a sale). known, equal variances).

Experimentation 41

Experimentation Statistics Metrics Measurement 41

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

Doing so makes it easier to study the effects of an intervention, say, a new marketing campaign, on the sales of a product. Another way to build a classifier for variance reduction is to address the rare event problem directly — what if we could predict a subset of instances in which the event of interest will definitely not occur?

Experimentation 40

Experimentation Metrics Statistics Measurement 40