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

KDnuggets

DECEMBER 12, 2019

ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, Knowledge Discovery and Machine Learning for 26 th Annual Conference in San Diego.

KDD 48

KDD Knowledge Discovery Data mining Data Science 48

The Unofficial Google Data Science Blog

JANUARY 14, 2016

In any event, let’s say we have an appropriate choice of experimental unit. As the event becomes rarer, this grows as $1/sqrt{p}$. Sometimes, the metric of interest is not the average rate of a rare binary event, per se, but is gated by such an event.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Domino Data Lab

MAY 20, 2021

A rule-learning program in high energy physics event classification. Data mining for direct marketing: Problems and solutions. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Smote: Synthetic minority over-sampling technique. 16(1), 321–357.

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