The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Domino Data Lab

APRIL 3, 2019

Enterprise Repository Era” (1990–2010) – first generation DG solutions. More Policies Emerged” (2010-2018). Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on. though not much concern overall. credit cards).

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Occam's Razor

SEPTEMBER 15, 2014

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement.

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

APRIL 19, 2010

The post will end with a Web Analytics Measurement Framework. Point of confusion: Many web analytics tools, like Google Analytics , have a feature that encourages you to measure Goals. It is possible that some Analytics Tool Goals directly measure your business objectives or goals. Web Analytics Measurement Framework.

Metrics 140

Metrics Key Performance Indicator KPI Analytics 140

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). Usually at least a test. our measurement strategies 2.

Analytics 119

Analytics Consulting Metrics Experimentation 119

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. In addition to the issues above, does the conclusion pass the smell test?

Experimentation 62

Experimentation Testing Statistics Metrics 62

O'Reilly on Data

FEBRUARY 25, 2025

But in my initial tests a small model like Llama 3.2 This isnt good by any measure, but its the best I could do without paying for a cloud LLM API, which I was afraid to do given Python Tutors sizable userbase and tiny budget. But to my relief, now I didnt have to do any of that grind since the university server plan was a no-go.

Cost-Benefit 211

Cost-Benefit Data Processing Visualization Testing 211

CIO Business Intelligence

APRIL 18, 2025

A major turning point came for JAL in 2010 when the airline filed for bankruptcy and subsequently announced a proposed rehabilitation plan that included a much needed IT system renewal. Since 1967, JAL used the JALCOM reservation and ticketing system, built using Assembler on an IBM mainframe.

Digital Transformation 65

Digital Transformation Data Processing IT Marketing 65

CIO Business Intelligence

APRIL 12, 2022

Perforce already owns development tools such as Helix and the testing tools, including Perfecto and BlazeMeter. Test automation: Tricentis buys Testim. Software test automation vendor Tricentis has bought Testim, the developer of an AI-based SaaS test automation platform, to expand its continuous testing solutions.

Technology 143

Technology Enterprise Consulting Software 143