FineReport

DECEMBER 19, 2019

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. For super rookies, the first task is to understand what data analysis is.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

The Unofficial Google Data Science Blog

JULY 22, 2020

This post considers a common design for an OCE where a user may be randomly assigned an arm on their first visit during the experiment, with assignment weights referring to the proportion that are randomly assigned to each arm. For example, imagine a fantasy football site is considering displaying advanced player statistics.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

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). The former is a term used for models where the data has been labeled, whereas, unsupervised learning, on the other hand, refers to unlabeled data. Classification. Regression.

Data mining 77

Data mining KDD Data Science Forecasting 77

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. Because individual observations have so little information, statistical significance remains important to assess.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

Domino Data Lab

DECEMBER 4, 2020

We can group by study arm and calculate various statistics as mean and standard deviation. The openness of the Domino Data Science platform allows us to use any language, tool, and framework while providing reproducibility, compute elasticity, knowledge discovery, and governance. References. [1] Methods Mol Biol.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

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

Sometimes referred to as a data fabric , it delivers a unified, human-friendly, and meaningful way of accessing and integrating internal and external data. Using semantic metadata, knowledge graphs provide a consistent view of diverse enterprise data, interlinking knowledge that has been scattered across different systems and stakeholders.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52