DataFloq

FEBRUARY 10, 2021

Business Analytics synergizes the strengths of various sciences including data mining, knowledge discovery, machine learning, pattern recognition, statistics, neurocomputing, and artificial intelligence. Business Analytics has evolved a lot. Business Analytics was designed for addressing the need for deriving intelligence out of ‘data’, which is nowadays referred to affectionately by many as the ‘crude oil’ or ‘gold ore’ of modern times.

Business Analytics 204

Business Analytics Knowledge Discovery Analytics Data mining 204

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Topics of interest include artificial intelligence, big data, data analytics, data science, data mining, deep learning, knowledge graphs, machine learning, relational databases and statistical methods.

KDD 72

KDD Knowledge Discovery Data mining Statistics 72

DataFloq

JULY 4, 2022

There were previously several statistical surveys that could assess these social-emotional abilities. Combining large amounts of information with existing tools is possible using the formalized knowledge discovery models in Data Science or Data Mining techniques.

Data Science 239

Data Science Knowledge Discovery Statistics Predictive Analytics 239

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.

Knowledge Discovery 83

Knowledge Discovery Experimentation Visualization Dashboards 83

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.

Experimentation 80

Experimentation Statistics Testing Knowledge Discovery 80

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). Domain Knowledge. The foremost step of this process is to possess relevant domain knowledge regarding the problem at hand. To anyone looking at a large pile of data, it may seem like a collection of junk unless the person has the background knowledge and information about the business.

Data mining 65

Data mining KDD Knowledge Discovery Forecasting 65

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.

Metrics 56

Metrics Knowledge Discovery Experimentation Modeling 56

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. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Data Science 41

Data Science Experimentation Statistics Metrics 41

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. In statistics, such segments are often called “blocks” or “strata”.

Data Science 40

Data Science Experimentation Metrics Statistics 40