Sisense

JANUARY 21, 2020

This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term. As an example, I’ll present a case from The Book of Why by Judea Pearl.

Testing 104

Testing Risk Data-driven Statistics 104

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Education Imagine an AGI tutor who doesn’t present information but personalizes the learning journey. It wouldn’t treat all students the same.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. Measuring Online Engagement: What Role Does Web Analytics Play? "Engagement" How Do I Measure Success?

KPI 124

KPI Metrics Measurement ROI 124

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

Ontotext

APRIL 3, 2024

In this post we present you with insight gathered at the Knowledge Graph Forum during the panel on Financial Services. So, this is a big driver for the outcome because when you are saving money for the business, you can measure it and see its value. These are not statistical inferences. How do I make sure I can manage risk?”

Technology 59

Technology Risk Digital Transformation Measurement 59

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). TIME – time points of measured pain score and plasma concentration (in hrs). We can also check for missing values, although it appears that none are present. and 3 to 8 hours.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

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. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Alation

SEPTEMBER 28, 2022

In DataOps, data analytics performance is primarily measured through insightful analytics, and accurate data, in robust frameworks. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. This presents a huge time and energy saver for the analytics teams at large! Embrace change.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). In 480 pages the book goes from from beginner's basics to a advanced analytics concepts. Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. However, meaningful insights require a representative panel or an analysis that corrects for the sampling bias that may be present.

Advertising 42

Advertising Testing Sales Statistics 42

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Session Summary.

Management 110

Management Machine Learning Experimentation Metrics 110

O'Reilly on Data

MARCH 23, 2023

Tokens ChatGPT’s sense of “context”—the amount of text that it considers when it’s in conversation—is measured in “tokens,” which are also used for billing. And it can look up an author and make statistical observations about their interests. It does a great job of collecting and presenting data.

IT 262

IT Modeling Testing Risk 262

Domino Data Lab

MAY 8, 2019

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Use of influence functions goes back to the 1970s in robust statistics.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

JANUARY 9, 2012

It is a lot easier to predict the present. Rather, I'm going to share a clump of realities/rules garnered from the present to help ready you for the predictable near future. Most companies are astonishingly blasé about data and possibilities of measurement. So I'm not going to do that. One of my biggest learnings?

Marketing 140

Marketing B2B Measurement Risk 140

Occam's Razor

FEBRUARY 8, 2021

At different points of the day, sometimes from one minute to the next, I have to switch gears so that I can be fully present as both a good employee and a good people leader. From observing behavior closely, and from my own experimentation and failure, I've noticed consistent patterns in what great employees do and great bosses do.

Strategy 132

Strategy Statistics Cost-Benefit Marketing 132

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Part of it fueled by some Consultants. I suppose the rational is: self preservation before all else. It has simply not had a break to catch a breath and mature.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Darkhorse

NOVEMBER 8, 2016

Many charting taxonomies include distributions, but they only present a few options. Strip plots in the flesh: NPR looks at school funding The LA Times on pop music’s evolution Eurostat’s key European statistics Jittered Strip Plot. FlowingData has given us 9 ways to visualize proportions and 11 ways for changes over time.

Visualization 72

Visualization Experimentation Measurement Statistics 72

Domino Data Lab

AUGUST 26, 2019

To support the iterative and experimental nature of industry work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt the “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Beyond this, we also get a measure of the variability.

Testing 79

Testing Modeling Machine Learning Metrics 79

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. Data was expensive to gather, and therefore decisions to collect data were generally well-considered.

Experimentation 61

Experimentation Testing Statistics Metrics 61