Smart Data Collective

JUNE 26, 2019

This library was developed in 2007 as part of a Google project. Averaging them is very simple, but we can get other statistics, such as: standard deviations and quartiles. This strategy provides statistical representations of all variables. One version is for training (train), and another for testing (test).

Machine Learning 91

Machine Learning Statistics Testing IoT 91

Occam's Razor

SEPTEMBER 19, 2011

You need people with deep skills in Scientific Method , Design of Experiments , and Statistical Analysis. Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. ask for a raise.

Measurement 120

Measurement Advertising Testing Marketing 120

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Domino Data Lab

SEPTEMBER 25, 2019

A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. class(attClose) [1] "xts" "zoo" > head(attClose) T.Close 2007-01-03 34.95 2007-01-04 34.50 2007-01-05 33.96 2007-01-08 33.81 2007-01-09 33.94 2007-01-10 34.03.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

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. We offer two examples where this may be the case.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Ontotext

MAY 26, 2021

Consider an example in which our first data source says that Microsoft invested $240 million in Facebook and the second – that on October 24, 2007 Microsoft invested in Facebook. But, before we can have any larger scale implementation of these rules, we have to test their validity. However, this is not always so straightforward.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation.

Statistics 45

Statistics Optimization Modeling Experimentation 45