Domino Data Lab

OCTOBER 9, 2019

It divides the observations into discrete groups based on some distance metric. Printing the K-means objects displays the size of the clusters, the cluster mean for each column, the cluster membership for each row and similarity measures. > According to this metric we should use 13 clusters. > wineUrl <- '[link].

Statistics 100

Statistics Machine Learning Metrics Measurement 100

Smart Data Collective

APRIL 5, 2019

For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. Social media monitoring involves collecting data and is quantifiable. During this time, they raised $300,000 in seed funds, $3.5

Big Data 100

Big Data Interactive Data-driven Machine Learning 100

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? It is hard to account for such tweaking in measurement systems. Pertinence and fidelity of metrics developed from Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Cloudera

SEPTEMBER 20, 2022

Designers of AI systems for art should identify which images in their training sets strongly influenced a result using metrics of image similarity, in order to both credit the influence appropriately (perhaps monetarily) and facilitate avoiding plagiarism. International Telecommunications Society (ITS), 2011. Conclusion.

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 63

Modeling Experimentation Knowledge Discovery KDD 63

DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. In the model-fitting procedure, the modeler is then able to measure the impact of each factor against the outcome.

Risk 52

Risk Modeling Metrics Business Objectives 52

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. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 43

Advertising Testing Sales Statistics 43

Occam's Razor

SEPTEMBER 24, 2012

A Facebook employee (FBe) gave a talk about measuring ROI/Value of Facebook campaigns. FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Why is it so hard to measure the value of Facebook? Metrics are a problem.

Advertising 165

Advertising Metrics ROI Marketing 165

Occam's Razor

JUNE 28, 2011

Web Analysts are blessed with an immense amount of data, and an amazing amount of valuable, even sexy, metrics to understand business performance. Yet our heroic efforts to report the aforementioned sexy metrics lead to little business action. Since crappy sounds bad, let's just say you are reporting super lame metrics.

Metrics 127

Metrics Measurement Key Performance Indicator Reporting 127

O'Reilly on Data

APRIL 23, 2024

From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%. Starting around 2011, advertising, which once framed the organic results and was clearly differentiated from them by color, gradually became more dominant, and the signaling that it was advertising became more subtle.

Advertising 338

Advertising Cost-Benefit Marketing Risk 338

Occam's Razor

JANUARY 20, 2010

How do you measure success of a online webinar? End of a minor web analytics lesson on going beyond obvious metrics and never, ever, never forgetting context. How do you measure SEO performance on a page level? Every measurement question should start by taking one step back and thinking of goals. Now go plan for 2011.

Metrics 90

Metrics B2B Analytics Measurement 90

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. This is a simple custom report I use to look at the aggregated view: As the report above demonstrates, you can still report on your other metrics, like Unique Visitors, Bounce Rates, Per Visit Value and many others, at an aggregated level. One product line.

Optimization 156

Optimization Reporting Metrics Experimentation 156

Occam's Razor

JUNE 4, 2012

You get immense focus in the scorecard (summary) using just the Acquisition (Visits, Unique Visitors), Behavior (Bounce Rate, Pageviews – proxy for content consumption) and Outcome (Transactions, Average Value, Revenue) metrics and Key Performance Indicators. Never create a custom report without Acquisition, Behavior, Outcome metrics.

Reporting 128

Reporting Analytics Metrics Advertising 128

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

APRIL 25, 2011

" I'd postulated this rule in 2005, it is even more true in 2011. Doing anything on the web without a Web Analytics Measurement Model. Bring a structured approach to your measurement strategy, bring some process, let a Web Analytics Measurement Model be the foundation of your program. The 10/90 rule.

Marketing 127

Marketing Metrics Measurement Testing 127

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Looking at metrics of interest computed over subpopulations of large data sets, then trying to make sense of those differences, is an often recommended practice (even on this very blog).

Experimentation 62

Experimentation Testing Statistics Metrics 62

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. And like a lot of near-future SciFi, it’s remarkably prescient.

Modeling 300

Modeling Advertising Recreation/Entertainment Metrics 300