The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

Data Science 101

JANUARY 15, 2020

Researchers/ scientists perform experiments to validate their hypothesis/ statements or to test a new product. Suppose we want to test the effectiveness of a new drug against a particular disease. Let us understand this in brief. Suppose in a town, a relationship is being studied between the level of exercise and blood pressure.

Experimentation 96

Experimentation Statistics Measurement Testing 96

IBM Big Data Hub

MAY 17, 2024

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. ” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Why move to cloud?

Modeling 82

Modeling Cost-Benefit Optimization Digital Transformation 82

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 84

Digital Transformation Cost-Benefit Informatics Data mining 84

Ontotext

FEBRUARY 14, 2024

Based on our experience, we’ve found that there are some common stumbling blocks. Let’s have a look at those. Why You need to make sure the people in your organization know the why of the knowledge graph project. If they know why they are doing it, they’ll be in a better position to deliver what they’ve been asked to do.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous pipeline monitoring with SPC (statistical process control). SPC is the continuous testing of the results of automated manufacturing processes. And it should be.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Data analytics ain’t what it used to be. You’re providing data analytics products. .

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. This has serious implications for software testing, versioning, deployment, and other core development processes. Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332

Sisense

JANUARY 21, 2020

This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term. A new drug promising to reduce the risk of heart attack was tested with two groups. How does this happen?

Testing 104

Testing Risk Data-driven Statistics 104

Occam's Razor

MARCH 23, 2021

Data Warehousing. And, a thousand other silos (depending on your company size). One outcome of this reality is that while every team works hard to do their very best work, it is rare that they earn strategic influence from their work. That’s not really surprising, if your view of your scope is narrow… Your impact will be narrow as well.

Analytics 131

Analytics Scorecard Strategy Testing 131

FineReport

DECEMBER 11, 2019

– Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. The big news is that we no longer need to be proficient in math or statistics, or even rely on expensive modeling software to analyze customers. For a while, everyone seems to have begun to learn data analysis. New York Times.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

DataRobot

JUNE 8, 2021

Although modern medicine is founded on rigorous experimental design and statistical analysis, and many research studies have shown the superiority of objective analysis over human intuition, medical AI adoption will depend on consumer receptivity and trust in this new technology. But others have criticized the use of personas.

Data-driven 98

Data-driven Testing Marketing Experimentation 98

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

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

O'Reilly on Data

MARCH 23, 2023

ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. What is it, how does it work, what can it do, and what are the risks of using it? A quick scan of the web will show you lots of things that ChatGPT can do. It’s much more.

IT 262

IT Modeling Testing Risk 262

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Among these, only statistical uncertainty has formal recognition.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Alation

SEPTEMBER 28, 2022

Automated testing to ensure data quality. Alation provides robust DataOps solutions that help you foster collaboration, build trusted data solutions, automate testing & monitoring, and visualize data pipelines. What exactly is DataOps ? What Is DataOps? DataOps is essentially a mix of these methodologies: Lean manufacturing.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Occam's Razor

SEPTEMBER 19, 2011

You need people with deep skills in Scientific Method , Design of Experiments , and Statistical Analysis. Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. Maybe it is five other things.

Measurement 119

Measurement Advertising Testing Marketing 119

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). Once all packages have been imported, we can move on to loading our test data. Mean residence time. Terminal disposition rate constant. Bioequivalence analysis. x)), pain_df).

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Ontotext

APRIL 3, 2024

Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. So, let’s start with our first question. We all know that for any initiative to succeed, we need the attention and the blessing of company executives. What are your thoughts about it? A graph can do that.

Technology 59

Technology Risk Digital Transformation Measurement 59

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. But it is not routine. That part is your job.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

AUGUST 22, 2011

Five Reasons And Awesome Testing Ideas. Lab Usability Testing: What, Why, How Much. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Tip #9: Leverage Statistical Control Limits. In Web Analytics Context Is King Baby! Go Get Your Own. History Is Overrated.

KPI 124

KPI Metrics Measurement ROI 124

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. In this post we discuss the problem, a solution, and practical considerations.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Domino Data Lab

OCTOBER 2, 2019

As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences. The case that might be familiar to you is an AB test. You can make a change to a product and test it against the original version of the product. A complementary Domino project is available. . Introduction.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. By every indicator available, ecommerce is continuing to grow at an insane speed. Still, I’m heartbroken that some the simplest elements of ecommerce stink so much. youarekillingme.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Insight

MARCH 12, 2020

The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. finished his first novel, Cuckoo’s Calling. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

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

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. Pro tip: Teams hiring their first data scientist will often contract an external technical advisor to conduct this interview.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

CIO Business Intelligence

DECEMBER 6, 2023

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. But that’s not the only problem you might run into. But this wasn’t the first time Bing’s AI news added dubious polls to sensitive news stories.

IT 129

IT Risk Management Interactive Modeling 129

AWS Big Data

JULY 3, 2023

Look – ahead bias – This is a common challenge in backtesting, which occurs when future information is inadvertently included in historical data used to test a trading strategy, leading to overly optimistic results. Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data.

Snapshot 82

Snapshot Data Lake Testing Strategy 82

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. Just don't fall for their bashing of all other vendors or their silly claims, false, of "superiority" in terms of running 19 billion combinations of tests or the bonus feature of helping you into your underwear each morning. And I meant every word of it.

Testing 112

Testing Experimentation Risk Optimization 112

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

Occam's Razor

JUNE 6, 2007

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

Analytics 60

Analytics Metrics Marketing Dashboards 60

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. However, this is not always the case.

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. We might be interested in comparing, for example, different subscription offers, different versions of terms and conditions, or different user interfaces. What does it take to estimate the impact of online exposure on user behavior?

Advertising 42

Advertising Testing Sales Statistics 42

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. Such decisions involve an actual hypothesis test on specific metrics (e.g.

Experimentation 68

Experimentation Sales Metrics Measurement 68