The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate. And sometimes even if it is not[1].)

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Smart Data Collective

JUNE 26, 2019

This library was developed in 2007 as part of a Google project. There are two essential classifiers for developing machine learning applications with this library: a supervised learning model known as an SVM and a Random Forest (RF). Some of the Premier benefits include: Regression modeling. Advanced probability modeling.

Machine Learning 77

Machine Learning Statistics Testing IoT 77

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. One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). Chapter Introduction: Time Series and Autocorrelation.

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 95

Experimentation Statistics Testing Strategy 95

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 44

Statistics Optimization Modeling Experimentation 44

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

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. Web Data Quality: A 6 Step Process To Evolve Your Mental Model. The Awesome Power of Visualization 2 -> Death and Taxes 2007. Five Reasons And Awesome Testing Ideas. Lab Usability Testing: What, Why, How Much. Experimentation and Testing: A Primer.

KPI 124

KPI Metrics Measurement ROI 124