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

The Unofficial Google Data Science Blog

JANUARY 14, 2016

But the fact that a service could have millions of users and billions of interactions gives rise to both big data and methods which are effective with big data. Of particular interest to LSOS data scientists are modeling and prediction techniques which keep improving with more data.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. A rule-learning program in high energy physics event classification. Data mining for direct marketing: Problems and solutions. Smote: Synthetic minority over-sampling technique. Quinlan, J.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

Rare binary event example In the previous post , we discussed how rare binary events can be fundamental to the LSOS business model. Let $Y$ be the Bernoulli random variable representing the purchase event in a user session. Y$ is the binary event of a purchase. To that end, it is worth studying them in more detail.

Experimentation 40

Experimentation Metrics Statistics Measurement 40