The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g.,

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

SEPTEMBER 10, 2020

This means many projects get stuck in endless research and experimentation. Identify metrics that measure this variability. Existing Metrics: Foot traffic (footfall) monitoring of total customer count in store based on time series. Is the problem feasible for us to solve? Identify a source of variability in that driver.

Modeling 101

Modeling IT Data Science Experimentation 101

AWS Big Data

AUGUST 21, 2023

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space. Amazon OpenSearch Service has long supported both lexical and vector search, since the introduction of its kNN plugin in 2020. OpenSearch Service supports a variety of search and relevance ranking techniques.

Data Processing 94

Data Processing Experimentation Visualization Metrics 94

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

Experimentation 101

Experimentation Testing Optimization Marketing 101

Corinium

JUNE 6, 2019

A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment. It is also important to have a strong test and learn culture to encourage rapid experimentation. What is the most common mistake people make around data? It is fast and slow.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Clear measurement and monitoring of results. We find it helpful to think of data operations as a factory. Most organizations run the data factory using manual labor. Low error rates. Their product is the data. Willful blindness.

Testing 152

Testing Dashboards Measurement Experimentation 152

IBM Big Data Hub

MARCH 4, 2024

Figure 1: Transforming into an AI+ enterprise is at the core of what our team at IBM does An AI+ enterprise integrates AI as a first-class function across the business. Start with the use cases The most important step for an AI+ enterprise is identifying transformative use cases. Often, this decision is made too quickly. Should you build your own?

Enterprise 107

Enterprise ROI Risk Strategy 107

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Learn how to safeguard data and comply with changing laws, regulations, and operational requirements in Measuring Enterprise Information Governance Maturity.

Advertising 105

Advertising Recreation/Entertainment Experimentation Enterprise 105

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

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

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. This functionality was initially released as experimental in OpenSearch Service version 2.4, This is also called embedding the text into the vector space.

Cost-Benefit 97

Cost-Benefit Visualization Modeling Machine Learning 97

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

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. How Do I Measure Success?

KPI 124

KPI Metrics Measurement ROI 124

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.). Mean residence time. Terminal disposition rate constant. x)), pain_df).

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

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

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

GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64. GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64. HCatalog 3.1.3

Cost-Benefit 93

Cost-Benefit Big Data Testing Optimization 93

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.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

Occam's Razor

NOVEMBER 12, 2006

Mostly because short term goals drive a lot of what we do and if you are selling something on your website then it only seems to make logical sense that we measure conversion rate and get it up as high as we can as fast as we can. So measure Bounce Rate of your website. Even though we should not obsess about conversion rate we do.

Measurement 99

Measurement Analytics Optimization Marketing 99

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. For example, assuming you would like to explore your company’s revenue , you would analyze it by countries, products, time, etc. However, it can also produce incorrect results if translated poorly.

Testing 104

Testing Risk Data-driven Statistics 104

Cloudera

FEBRUARY 16, 2022

blueberry spacing) is a measure of the model’s interpretability. While it is a little dated, one amusing example that has been the source of countless internet memes is the famous, “is this a chihuahua or a muffin?” classification problem. Figure 01: Is this a chihuahua or a muffin? What if a muffin is well-baked? Model Visibility.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

Insight

MARCH 12, 2020

finished his first novel, Cuckoo’s Calling. It had all the trappings of a great story: a suspicious death, a private investigator haunted by his past, intrigue, pace, and misdirection. There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often often without even looking at it.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

OCTOBER 21, 2013

has recently announced switching to httpS as standard for all mail users, indicating secure search might follow next. That of course will mean more referring keyword data will disappear. But it is difficult to not look at the wider picture. This can place many of our peer citizens in grave danger. I really loved having this data.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Occam's Razor

NOVEMBER 13, 2009

Chapter 3 The Awesome World of Clickstream Analysis: Metrics. The second half shows exactly how to pick the best metrics for your org and, my absolute favorite (Page 64), how to diagnose the root cause of a metrics performance. The Pitch: I invite you to consider buying my second web analytics book. A good thing.

Analytics 71

Analytics Metrics Measurement Testing 71

Occam's Razor

SEPTEMBER 15, 2014

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. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation. Still, let me try to surprise you. Many reasons.

Metrics 141

Metrics Reporting Analytics Marketing 141

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

datapine

FEBRUARY 4, 2020

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit. How do you know that? How To Write A Marketing Report?

Reporting 280

Reporting Marketing Advertising Metrics 280

O'Reilly on Data

OCTOBER 13, 2020

Ideally, AI PMs would steer development teams to incorporate I/O validation into the initial build of the production system, along with the instrumentation needed to monitor model accuracy and other technical performance metrics. Proper AI product monitoring is essential to this outcome. I/O validation.

Management 244

Management Metrics Machine Learning Modeling 244

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. # ." Or " I proposed testing / surveys / competitive intelligence / Analysts but I was shot down."

Management 68

Management Experimentation Testing Strategy 68

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

In this post, we discuss three types of uncertainty: Statistical uncertainty : the gap between the estimand , the unobserved property of the population we wish to measure, and an estimate of it from observed data. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

JULY 8, 2022

First, it’s a straightforward proposition whose end state is relatively easy to envision and measure, making it a nice palate cleanser for those still wrapping their heads around the broader operating model shift. By operations, we mean work that fixes or hones the processes and tools already employed in an organization. Disadvantages.

Cost-Benefit 122

Cost-Benefit Measurement Modeling Metrics 122

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available.

Analytics 60

Analytics Metrics Marketing Dashboards 60

CIO Business Intelligence

APRIL 18, 2022

Tech leaders “should have a common language that clearly defines their company’s digital imperatives, with related value measures, that allows the organization to align on strategy across the C-suite and to communicate the strategic value they hope to achieve from it,” Nanda says. They speak a common language. Deloitte Consulting. “In

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. By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts.

Statistics 44

Statistics Optimization Modeling Experimentation 44