Domino Data Lab

APRIL 3, 2019

Cloud gets introduced: Amazon AWS launched in public beta in 2006. Mobile gets introduced: the term “ CrackBerry ” becomes a thing in 2006, followed by the launch of the iPhone the following year. data to train and test models poses new challenges: The need for reproducibility in analytics workflows becomes more acute.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

The Unofficial Google Data Science Blog

MARCH 31, 2016

Often our data can be stored or visualized as a table like the one shown below. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). On each of the ten segments the random effects model yielded higher test-set log likelihoods and AUCs, and we display the results in the figure below.

Modeling 40

Modeling Statistics Advertising Testing 40

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 4: Visualization of a central composite design. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. Testing Statistical Hypotheses. Springer New York, 2006. [17] production, default) values. Lehmann and J.P.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

OCTOBER 16, 2007

I had first written about the wonders of site search analysis in a June 2006 post: Are You Into Internal Site Search Analysis? Even if you are not using Google Analytics you should be able to do all this with Omniture or Visual Sciences or HBX or WebTrends or CoreMetrics etc etc etc. You Should Be.

Analytics 101

Analytics Metrics Measurement Reporting 101

O'Reilly on Data

JULY 25, 2023

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

Consulting 246

Consulting Interactive Software Metadata 246

Occam's Razor

FEBRUARY 7, 2011

And to visualize it in a report. Without knowing what you want to show it is hard to make a recommendation as to how to visualize. There is no upper limit to effective ways to visualize data. There is no upper limit to effective ways to visualize data. Post Testing: Visits 30k. Present this: Today: Visits 30k.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

FEBRUARY 9, 2015

My first blog post on the topic of CIA was on 14th Aug 2006! Structure tests to validate these hypotheses. My favourite method is to use the Traffic Dashboard report in Compete (as I'd mentioned in my post on data visualization strategies and examples ). In each case, frame it as a hypothesis, test it, make bigger changes.

Metrics 156

Metrics Reporting IT Advertising 156

datapine

DECEMBER 28, 2021

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. 4) Misleading data visualization. That’s what’s going on in your organization.”. But this didn’t come easy.

Statistics 363

Statistics Advertising Visualization Data mining 363