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). This data alone does not make any sense unless it’s identified to be related in some pattern.

Data mining 77

Data mining KDD Data Science Forecasting 77

Domino Data Lab

DECEMBER 2, 2020

Due to its importance in both theory and applications, this algorithm is one of three algorithms awarded the Test of Time Award at the KDD conference in 2014. Finally, for readers who are interested in general clustering methodology for different types of problems, this book on data clustering is a handy reference.

Metrics 116

Metrics KDD Testing Machine Learning 116

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

For an introduction to Empirical Bayes, see the paper [3] by Brad Efron (with more in his book [4]). Brendan McMahan et al, "Ad Click Prediction: a View from the Trenches" , Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. [3] How exactly should we model $G$?

KDD 40

KDD Testing Machine Learning Measurement 40