Insight

APRIL 28, 2020

You’ll often see the name “data challenge” used when the take-home assignment involves machine learning or statistics or “coding challenge” when the focus is on evaluating a candidate’s software engineering skills. Length: Highly Variable. Teams new to hiring often make this mistake of creating long multi-stage screening processes.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Experimentation & Testing (A/B, Multivariate, you name it). What ideas to test first on your site? Thrilled is perhaps understating it, I am giddy like a schoolgirl. There I said it. Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60

CIO Business Intelligence

DECEMBER 6, 2023

But these Guardian polls appear to have been published on Microsoft properties with millions of visitors by automated systems with no human approval required. Generative AI can certainly make developers more productive, too, whether exploring a new code base, filling in boilerplate code, autocompleting functions, or generating unit tests.

IT 133

IT Risk Management Interactive Modeling 133

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. In fact, this blog has published posts on this very topic. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime.

Experimentation 68

Experimentation Sales Metrics Measurement 68

Domino Data Lab

MAY 8, 2019

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? 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

Lack of loyalty shows simply re-publishing AP stories is useless. AND you can have analysis of your risk in almost real time to get an early read and in a few days with statistical significance! Allocate some of your aforementioned 15% budget to experimentation and testing. We expect more.

Marketing 140

Marketing B2B Measurement Risk 140

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. 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.

Experimentation 61

Experimentation Testing Statistics Metrics 61