AWS Big Data

JANUARY 9, 2024

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches. To learn more about semantic search and cross-modal search and experiment with a demo of the Compare Search Results tool, refer to Try semantic search with the Amazon OpenSearch Service vector engine.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

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. A new drug promising to reduce the risk of heart attack was tested with two groups. 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

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. cl_f = NCA.cl(pain_nca)

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

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. Now nearly half of code suggestions are accepted.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

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

I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. Text synopses are ‘tokenized’ with the aid of a reference library. On my test set, this approach resulted in~75–95% accuracy and ~.65 DistilBERT tokenization and embedding, from Jay Alammar.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

FEBRUARY 26, 2008

" Or " I proposed testing / surveys / competitive intelligence / Analysts but I was shot down." 1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Here is data from our latest test." And now you have no excuse to avoid testing.

Management 68

Management Experimentation Testing Strategy 68

Occam's Razor

JULY 18, 2011

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. Optimal Acquisition Email Metrics. Allow me to rush and point out that this metric is usually just directionally accurate.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

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. They also advise communicating the dashboard’s value consistently since that will drive effective dashboard use, both to increase adoption and to improve company performance on key dashboard metrics, the brief says.

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. A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means.

Statistics 44

Statistics Optimization Modeling Experimentation 44

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

JULY 31, 2016

At the end of the semester, you administer a proficiency test to the students and compare test performance across the groups. For example, you might compare the average test score among students exposed to the new curriculum to the average score among the controls. Sounds straightforward, right?

Experimentation 42

Experimentation Testing Measurement Metrics 42

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. A geo experiment is an experiment where the experimental units are defined by geographic regions. Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. by turning campaigns off).

Advertising 42

Advertising Testing Sales Statistics 42

Occam's Razor

AUGUST 12, 2013

Just so we have a visual guide through this learning process, let's use the above image as a reference. So, the campaign could be Social, Organic Search, Email, Display, Affiliate, Referring Site … anything really. Look up, memorize the steps to conversion. Last Interaction/Last Click Attribution model. Or we could not.)

Modeling 161

Modeling Optimization Marketing Interactive 161

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

Domino Data Lab

AUGUST 22, 2019

Note: Lemmatization, a more sophisticated alternative to stemming, requires the use of a reference vocabulary. Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. and 11.7).].

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

AUGUST 26, 2019

This control prevents overfitting and reduction in predictive accuracy on new test data. If we don’t like the result of testing after training, we can also select an entirely different learning machine with different internals. algorithm leaf_size metric metric_params n_jobs n_neighbors p weights.

Testing 79

Testing Modeling Machine Learning Metrics 79

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. by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps.

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. I have personally had a lot of success using Controlled Experimentation techniques, such as, say, Media Mix Modeling, to understand both current available demand and also segment conversion effectiveness. Post Testing: Visits 30k. If you have Web Analytics 2.0

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

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). If you have evolved to a stage that you need behavior targeting then get Omniture Test and Target or Sitespect. Mongoose Metrics ~ ifbyphone.

Analytics 135

Analytics Testing Measurement Optimization 135

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. Doing Lab Usability testing is another great option. No more measuring HITS.

Measurement 99

Measurement Experimentation Metrics Testing 99

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was. What Are The Benefits of Business Intelligence?

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. 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.

Experimentation 61

Experimentation Testing Statistics Metrics 61