Analytics Vidhya

FEBRUARY 20, 2023

Introduction We are living in an era of massive data production. When you think about it, almost every device or service we use generates a large amount of data (for example, Facebook processes approximately 500+ terabytes of data per day).

Knowledge Discovery 288

Knowledge Discovery Data mining Analytics KDD 288

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

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

OCTOBER 7, 2015

A small but persistent team of data scientists within Google’s Search Ads has been pursuing item #2 since about 2008, leading to a much improved understanding of the long-term user effects we miss when running typical short A/B tests. In this blog post, we summarize that paper and refer you to it for details.

Modeling 63

Modeling Experimentation Knowledge Discovery KDD 63

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

These decisions are often business-critical, so it is essential for data scientists to understand and improve the regressions that inform them. In the examples above, we might use our estimates to choose ads, decide whether to show a user images, or figure out which videos to recommend. First, systems can be theoretically intractable.

KDD 40

KDD Testing Machine Learning Measurement 40