Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Honestly, KDD has been promoting data science way before data science was even cool. KDD 2020 is a dual-track conference, offering distinct programming in research and applied data science. 1989 to be exact. The details are below. 22-27, 2020.

KDD 81

KDD Knowledge Discovery Data mining Statistics 81

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). Machine learning provides the technical basis for data mining. This data alone does not make any sense unless it’s identified to be related in some pattern. Domain Knowledge.

Data mining 77

Data mining KDD Data Science Forecasting 77

Domino Data Lab

DECEMBER 2, 2020

Compared to centroid-based clustering like k-means, density-based clustering works by identifying “dense” clusters of points, allowing it to learn clusters of arbitrary shape and identify outliers in the data. The anomalous points pull the cluster centroid towards them, making it harder to classify them as anomalous points. neighborhoods.

Metrics 116

Metrics KDD Testing Machine Learning 116

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

by OMKAR MURALIDHARAN Many machine learning applications have some kind of regression at their core, so understanding large-scale regression systems is important. But most common machine learning methods don’t give posteriors, and many don’t have explicit probability models. Calibration estimates $E(theta | t)$.

KDD 40

KDD Testing Machine Learning Modeling 40