AWS Big Data

APRIL 3, 2024

Visualize AWS Glue Data Quality scores in Amazon DataZone You can now visualize AWS Glue Data Quality scores in data assets that have been published in the Amazon DataZone business catalog and that are searchable through the Amazon DataZone web portal.

Data Quality 93

Data Quality Visualization Metadata Metrics 93

DataRobot

JULY 6, 2021

The Behavioural Insights Team ran an experiment, testing four variations to the language used in reminder letters on a trial group. Recently published research shows that AIs can match the performance of top human sales staff, achieving four times more sales than your inexperienced sales staff.

Marketing 105

Marketing Sales Data-driven Statistics 105

Smart Data Collective

AUGUST 15, 2019

Ultimately, shipping audits allow you to identify measurable savings and discover a greater level of transparency between your current pricing across carriers. Market Testing. For example, Chime Bank used artificial intelligence to test 216 versions of its homepage in just three months. Employee Turnover. Department of Labor.

Big Data 83

Big Data Sales Testing Statistics 83

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. Machine learning adds uncertainty.

Management 327

Management Machine Learning Experimentation Metrics 327

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices? What happens next?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. often without even looking at it. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

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. Insights worth testing. This blog post was originally published as an edition of my newsletter TMAI Premium. You can test landing pages.

Experimentation 101

Experimentation Testing Optimization Marketing 101

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

Sisense

MARCH 4, 2019

In order to do this, the system first extracts statistical values (data distribution) from the raw data. We use Normalized Root Mean Squared Error (NRMSE) to measure the model accuracy on a hold out testing set of queries. Once the NRMSE is converged below a threshold, Hunch publishes a cloud API end-point around the DNN.

Big Data 68

Big Data Data Analytics Analytics IoT 68

O'Reilly on Data

MAY 27, 2020

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes. Books, in turn, get matching scores to reflect their difficulty.

Risk 355

Risk Testing Reporting Measurement 355

The Unofficial Google Data Science Blog

SEPTEMBER 23, 2015

by KAY BRODERSEN For the first time in the history of statistics, recent innovations in big data might allow us to estimate fine-grained causal effects, automatically and at scale. How can we predict the benefits the idea's realization would create for users, publishers, developers, or advertisers? Is a randomized experiment possible?

Advertising 47

Advertising Statistics Big Data Modeling 47

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. provide an opportunity to measure both. Length: Highly Variable.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Domino Data Lab

NOVEMBER 17, 2020

High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g., Each of these behaviors wreak havoc on statistical analyses. As we are still left with a Large P Small N problem, direct hypothesis testing is not possible. Introduction.

Statistics 131

Statistics Measurement Testing Predictive Modeling 131

DataKitchen

OCTOBER 11, 2021

There are no automated tests , so errors frequently pass through the pipeline. There is no process to spin up an isolated dev environment to quickly add a feature, test it with actual data and deploy it to production. Finally, when your implementation is complete, you can track and measure your process.

Testing 152

Testing Metadata Dashboards Statistics 152

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Risk-control staff take care of risk measurement, limits, monitoring, and independent validation.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

datapine

SEPTEMBER 6, 2022

That said, measuring the success of your those efforts is another great part of the job, and on many occasions, it can prove to be overwhelming as you need to use multiple tools to gather the data. Flesch reading ease: The Flesch reading ease is a readability test developed in the U.S Content Dashboard Examples & Templates.

Dashboards 179

Dashboards Reporting ROI Metrics 179

Occam's Razor

OCTOBER 4, 2010

Ask a famous blogger, a published author, a random twitterer or your mom how to succeed in web analytics, or how not to be a Reporting Squirrel. This is a long preamble to tell you that the strategy we normally execute in measurement is wrong. If what you hear fails any of the above tests then you have to go back and try again.

Reporting 119

Reporting Metrics Sales Strategy 119

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. MAB algorithms are popular across many of the large web companies.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Insight

AUGUST 5, 2020

Photo by Devon Divine on Unsplash Originally published in Maslo - Your Virtual Self. Summary statistics (i.e. To prevent data-leakage issues, actors in the training dataset did not reappear in the test datasets. When comparing the feature importance across prediction models, summary statistics for lower MFCCs (e.g.

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

Occam's Razor

MAY 4, 2010

They expose a person's critical thinking ability (something I highly recommend you test when you hire web analysts: Interviewing Tip: Stress Test Critical Thinking. If you express your opinion then present it in the from of a hypothesis that can be tested. Use this if it helps: Web Analytics Measurement Framework.

Testing 112

Testing Advertising Marketing Measurement 112

Occam's Razor

JUNE 8, 2006

I am often asked what we look for when we hire Web Analysts or what quality do good Analysts possess or how to measure if a resource that already exists is optimal or how to mentor / motivate / guide our more junior Analysts to propel them to become great Analysts. This blog post is an attempt to answer all those questions wrapped into one.

KPI 94

KPI Measurement Statistics Metrics 94

AWS Big Data

APRIL 28, 2023

For example, you can configure an Amazon EventBridge rule to invoke an AWS Lambda function to publish CloudWatch metrics every time AWS Glue jobs finish. Each datapoint represents DPUHours per individual job run, so valid statistics for the CloudWatch metrics is SUM. You can review and customize it to suit your needs.

Optimization 98

Optimization Metrics Interactive Data Integration 98

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. The author recently published an “expanded follow-up” to her book called “Storytelling With Data: Let’s Practice!”. Your Chance: Want to test a powerful data visualization software?

Visualization 304

Visualization Dashboards Data-driven Statistics 304

CIO Business Intelligence

APRIL 7, 2022

With back-testing and cross-validation, we found that we’ve consistently been able to predict two-thirds of people about to resign, and save 10% to 20% of the ones we identified,” he says. But the AI tool can help measure employee moods. When you present it that way, that we’re looking out for your health, they opt in,” he says.

Consulting 145

Consulting Management Interactive Metadata 145

Occam's Razor

JUNE 6, 2007

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

Domino Data Lab

MAY 8, 2019

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Information can get quite distorted after being abstracted that many times.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range. Over the life of the forecast, the data scientist will publish historical accuracy metrics.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

O'Reilly on Data

OCTOBER 18, 2022

We also tend to use standards from US nondiscrimination law and the NIST SP1270 guidance to fill in any gaps around bias measurement or specific LLM concerns. While there are many interesting and useful benchmark datasets for testing bias in natural language processing, none provided these types of exhaustive demographic labels.

Risk Management 287

Risk Management Risk Testing Measurement 287

Cloudera

APRIL 9, 2021

Conversely, modern data warehouses accommodate multiple versions and environments that support both innovation (fast interaction with the latest versions) and operational stability with tried and tested versions. . A better measure of value is price-performance. .

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Smarten

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others.

Analytics 51

Analytics IT Business Intelligence Testing 51

Domino Data Lab

AUGUST 8, 2019

Rather than publish an agenda as most technology conferences do, why not let people mingle, discuss, and propose topics and possible sessions? Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. It’s a quick way to clear the room. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Smarten

AUGUST 9, 2017

You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L. Users can perform advanced analytics in an easy-to-use, drag and drop interface without knowledge of statistical analysis or algorithms.

Analytics 40

Analytics IT Statistics ROI 40

Data Science and Beyond

OCTOBER 15, 2017

Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018. The hardest parts of data science are problem definition and solution measurement, not model fitting and data cleaning , because counting things is hard.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

Insight

FEBRUARY 19, 2020

I held out 20% of this as a test set and used the remainder for training and validation. The genre uniqueness is a measure of how unique a movie’s combination of genre categories is relative to all movies in my data set. Below is the result of a single XGBoost model trained on 80% of the data and tested on the unseen held-out 20%.

Risk 67

Risk ROI Modeling Metrics 67

The Unofficial Google Data Science Blog

APRIL 16, 2019

In fact, this blog has published posts on this very topic. Such decisions involve an actual hypothesis test on specific metrics (e.g. On the other hand, fledgling products often have neither the statistical power to identify the effects of small incremental changes, nor the luxury to contemplate small improvements.

Experimentation 68

Experimentation Sales Metrics Measurement 68

datapine

AUGUST 29, 2022

Due to this book being published recently, there are not any written reviews available. Not only does this digestible guide speak to the reader in a clear, decipherable language, but it is also rich in actionable tips in areas including A/B testing, social network analysis, regression, clustering, and more.

Big Data 263

Big Data Data Analytics Analytics Data mining 263