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

FineReport

DECEMBER 19, 2019

For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. One is how to gain insights from the data. Data is cold and can’t speak. From Google. There are two points here.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

Domino Data Lab

JUNE 15, 2021

If Big Data has taught us anything, it is that with large volumes and high velocity data, it is advisable to move the computation to where the data resides. F-statistic: 599.7 Most importantly, UDFs are executed directly in Snowflake. codes: 0 ‘ ’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ on 1 and 390 DF, p-value: < 2.2e-16.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

In this post we explore why some standard statistical techniques to reduce variance are often ineffective in this “data-rich, information-poor” realm. Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Ontotext

NOVEMBER 11, 2024

Standardization: All the above is standardized through the W3C community process, to make sure that the requirements of different actors are satisfied –from logicians to enterprise data management professionals and system operations teams. However, it’s important to note that not every RDF graph is a knowledge graph.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52