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 61

Modeling Experimentation Knowledge Discovery Testing 61

Domino Data Lab

DECEMBER 4, 2020

Having calculated AUC/AUMC, we can further derive a number of useful metrics like: Total clearance of the drug from plasma. Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). The area under the first moment curve would respectively be.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

The Unofficial Google Data Science Blog

JANUARY 16, 2018

Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. With A/B testing, we can validate various hypotheses and measure the impact of our product changes, allowing us to make better decisions. This could create confusion.

Testing 58

Testing Experimentation Measurement Modeling 58

AWS Big Data

NOVEMBER 2, 2023

For specific pricing details and current information, refer to Amazon EMR pricing. GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64. Gather relevant metrics from the tests. Analyze results to draw insights and conclusions.

Cost-Benefit 84

Cost-Benefit Big Data Testing Optimization 84

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

DataRobot Blog

JULY 28, 2022

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. For example, data measured by sensors can contain all kinds of noise due to sensor malfunctions, environmental changes, etc., which can lead to large prediction errors.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times. What are you measuring?

Cost-Benefit 142

Cost-Benefit Metrics Insurance Measurement 142

Sisense

JANUARY 21, 2020

One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. They measured both the blood pressure of the participants and if they had a heart attack or not. If you don’t have the time to read “The Book of Why,’” you can refer to Towards Data Science.

Testing 104

Testing Risk Data-driven Statistics 104

Occam's Razor

OCTOBER 21, 2013

This led to the problem we, Marketers, SEOs, Analysts, fondly refer to as not provided. That of course will mean more referring keyword data will disappear. We are headed towards having zero referring keywords from Google and, perhaps, other search engines. And of course our Acquisition, Behavior, Outcome metrics.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Insight

MARCH 12, 2020

Text synopses are ‘tokenized’ with the aid of a reference library. One way that we can get around this is to use the proportion of tags that fall into a given class as a measure of our degree of confidence in that class association. The AIgent embeds that synopsis, and measures cosine similarity across the embeddings database.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

JULY 18, 2011

You just have to have the right mental model (see Seth Godin above) and you have to… wait for it… wait for it… measure everything you do! You must use metrics that are unique to the medium. Ready for the best email marketing campaign metrics? So for our email campaign analysis let’s look at metrics using that framework.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

Occam's Razor

FEBRUARY 26, 2008

1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Experimentation and Testing: A Primer. Build A Great Web Experimentation & Testing Program. # Be it for in vogue metrics like Conversion Rates or for metrics that should be in vogue like Abandonment Rates.

Management 68

Management Experimentation Testing Strategy 68

CIO Business Intelligence

APRIL 18, 2022

The challenge with this approach is that companies end up in what we refer to as the ‘digital trap. Dashboards should be used to monitor the value of an initiative and how value is created, measured by organizational and individual capabilities that support digital transformation, and tracked over time, according to the research brief.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. This is often referred to as the positivity assumption. In observational studies treatment is assigned by nature, therefore its mechanism is unknown and needs to be estimated.

Statistics 44

Statistics Optimization Modeling Experimentation 44

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. Real-time streaming data technologies are essential for digital transformation.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

The Unofficial Google Data Science Blog

JULY 31, 2016

The analysis can be straightforward, especially when it's safe to assume that individual observations of an outcome measure are independent. The outcome measure we care about is an average of the students' test scores, and so the unit of observation is a student. To figure this out, let's consider an appropriate experimental design.

Experimentation 42

Experimentation Testing Measurement Metrics 42

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant. The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. At Google, we tend to refer to them as slices.

Experimentation 40

Experimentation Metrics Statistics Measurement 40

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 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 42

Advertising Testing Sales Statistics 42

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. For example, we might want to stop the process if we measure harmful effects early. What if their uptake rate is not uniform?

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Occam's Razor

AUGUST 12, 2013

I strongly encourage you to read the post and deeply understand all three and what your marketing and measurement possibilities and limitations are. You can even use that column to adjust some of the budget allocation right now, without any attribution modeling, and measure the outcome. All three challenges are important.

Modeling 161

Modeling Optimization Marketing Interactive 161

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

JUNE 6, 2019

We sometimes refer to this as splitting “dev/test” from “production” workloads, but we can generalize the approach by referring to the overall priority of the workload for the business. A third strategy splits clusters based on the overall priority of the workloads running on those clusters. Cloudera Manager 6.2

Metadata 88

Metadata Data Lake Optimization Strategy 88

Occam's Razor

MAY 18, 2010

And as recently as two weeks ago I stressed the importance of effective segmentation as the cornerstone of the Web Analytics Measurement Framework. Key elements of the Web Analytics Measurement Framework.]. Acquisition refers to the activity you undertake to attract people (or robots!) The Problem. All visits. Total revenue.

Analytics 123

Analytics Key Performance Indicator Metrics Measurement 123

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. Additionally, it is exceptionally difficult to measure available demand because 1. Please see the advice above.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

JULY 1, 2008

3 ] Provide you with a bushel of specific multichannel measurement ideas to help quantify the offline impact of your online presence. Why should you care about measuring multichannel impact? There are many jobs your website is doing, it is your job to measure the holistic impact. Bonus Tip : But don't stop there.

Analytics 116

Analytics Measurement Marketing Sales 116

Occam's Razor

AUGUST 10, 2006

Actionable Insights & Metrics are the uber-goal simply because they drive strategic differentiation and a sustainable competitive advantage. We collect all the clickstream data and the objective is to analyze it from a higher plane of reference. No more measuring HITS. Its goal is not to do reporting. A bit extreme?

Measurement 99

Measurement Experimentation Metrics Testing 99

Occam's Razor

OCTOBER 19, 2010

so you have some reference as to where each item fits (and this will also make it easier for you to pick tools for the priority order referenced in Context #3 above). You'll measure Task Completion Rate in 4Q (below). You'll measure Share of Search using Insights for Search (below). Mongoose Metrics ~ ifbyphone.

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

MAY 27, 2015

Today's primary use of the word programmatic refers to the use of ad exchanges, real-time bidding (RTB), Demand-side Platforms (DSPs) etc. In large measure that is because of the rise of programmatic buying. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

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. algorithm leaf_size metric metric_params n_jobs n_neighbors p weights.

Testing 79

Testing Modeling Machine Learning Metrics 79

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected.

Experimentation 61

Experimentation Testing Statistics Metrics 61

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. Also note that they refer to the user of Search here as a consumer.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190