The Unofficial Google Data Science Blog

APRIL 17, 2017

First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. For this simple vignette, we might regard $X_1$ and $X_2$ as errors from a measuring scale and note that $X_2$ is not as precise an instrument as $X_1$.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Alation

OCTOBER 12, 2022

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. Measures of central tendency. Traditional business analysis uses numerical methods to paint a picture, often through numerical methods, like statistics. Percentages.

Statistics 52

Statistics Sales Testing Marketing 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Perceptual Edge

SEPTEMBER 11, 2019

As far as I know, no research studies have ever measured the efficiency gains or losses for various tasks (e.g., For a bit more explanation, I suggest that you read the newsletter article titled “ Multivariate Analysis Using Parallel Coordinates ” that I wrote back in 2006. Table Lenses.

Visualization 88

Visualization Sales Software Data Processing 88

Domino Data Lab

JULY 1, 2021

statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The process of statistical learning can automatically extract said rules from a training dataset. The CRF model.

Modeling 111

Modeling Statistics Testing Metrics 111

Occam's Razor

MARCH 12, 2012

Clickstream + qualitative data + rigorous statistical analysis of outcomes + deep mining of data from competitive intelligence sources + rapid experiments + more. " That is the title of my post from June 2006. Here's the "bigger web analytics data" picture from 2007… Multiplicity!

Big Data 128

Big Data Data-driven Unstructured Data Marketing 128

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363