AWS Big Data

JANUARY 9, 2024

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. To learn more, refer to Byte-quantized vectors in OpenSearch. With the new byte vector feature in OpenSearch Service version 2.9,

Cost-Benefit 90

Cost-Benefit Visualization Modeling Machine Learning 90

Dataiku

MARCH 25, 2024

M-LLMs for Image Captioning Image captioning refers to the process of automatically generating textual descriptions or captions for images. One limitation observed while testing the LENS approach, particularly in VQA, is its heavy reliance on the output of the first modules, namely CLIP and BLIP captions.

Visualization 132

Visualization Modeling Experimentation Testing 132

CIO Business Intelligence

MARCH 7, 2023

Oliver Wittmaier, CIO and product owner at DB SYSTEL GmbH DB SYSTEL GmbH Content generation is also an area of particular interest to Michal Cenkl, director of innovation and experimentation at Mitre Corp. “I Michal Cenkl, director of innovation and experimentation, Mitre Corp. Mitre Corp. The technology also needs human oversight.

Enterprise 111

Enterprise IT Experimentation Unstructured Data 111

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

Sisense

JANUARY 21, 2020

A new drug promising to reduce the risk of heart attack was tested with two groups. Continuing the previous example, let’s assume that blood pressure is known to be a cause for heart attack and the goal of the test drug is to reduce blood pressure. It really depends on the circumstances. Combined 13/60 = 21.67% 11/60 = 18.3%.

Testing 104

Testing Risk Data-driven Statistics 104

O'Reilly on Data

MARCH 31, 2020

This has serious implications for software testing, versioning, deployment, and other core development processes. There may even be someone on your team who built a personalized video recommender before and can help scope and estimate the project requirements using that past experience as a point of reference.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

APRIL 18, 2024

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. The doctor uploads the patient’s medical history and recent test results to an AGI-powered medical analysis system.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

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

Cloudera

JANUARY 30, 2019

Data scientists require on-demand access to data, powerful processing infrastructure, and multiple tools and libraries for development and experimentation. Run experiments with historical reference for hyperparameter tuning, feature engineering, grid searches, A/B testing and more. Sound familiar?

Data Science 72

Data Science Machine Learning Experimentation Cost-Benefit 72

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

Ontotext

MARCH 29, 2021

Sadly, the reification had a bad connotation of being overly slow due to the increased number of additional statements needed to identify the reference triple and too verbose to use in SPARQL : 1. : This was already possible in the very first RDF 1.0 specification using the reification mechanism. man :hasSpouse :woman. rdf:subject :man ; 4.

Metadata 59

Metadata IT Modeling Experimentation 59

Cloudera

AUGUST 2, 2018

True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data. Today, we are announcing Cloudera Data Warehouse – our battle-tested modern data warehousing solution – formerly known as Cloudera Analytic DB.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

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. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

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. We can then proceed with pharmacokinetic modeling, testing the goodness of fit of various models. References.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

The Unofficial Google Data Science Blog

JULY 22, 2020

This post considers a common design for an OCE where a user may be randomly assigned an arm on their first visit during the experiment, with assignment weights referring to the proportion that are randomly assigned to each arm. There are two common reasons assignment weights may change during an OCE.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Occam's Razor

JUNE 4, 2018

Your current customers refer your products and services to their friends, family, and complete strangers—in exchange for a little benefit for themselves. Diana, of course, referred the product to you, and that insight is in the URL you used to get to the site. Such is the case with A/B testing. Why not use it?

Strategy 124

Strategy Cost-Benefit Testing Sales 124

O'Reilly on Data

OCTOBER 19, 2021

ML apps need to be developed through cycles of experimentation: due to the constant exposure to data, we don’t learn the behavior of ML apps through logical reasoning but through empirical observation. but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise.

IT 346

IT Testing Experimentation Software 346

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. Implications of Secure Search Decision. I would humbly suggest not.

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

AWS Big Data

JULY 3, 2023

Major market indexes, such as S&P 500, are subject to periodic inclusions and exclusions for reasons beyond the scope of this post (for an example, refer to CoStar Group, Invitation Homes Set to Join S&P 500; Others to Join S&P 100, S&P MidCap 400, and S&P SmallCap 600 ). Load the dataset into Amazon S3.

Snapshot 82

Snapshot Data Lake Testing Strategy 82

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

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. Our internal QA team now focuses 100% on automated testing and managing the queue from the crowdsourced operation. IT’s approach is to launch betas, test and learn from them, then improve and offer more features and capabilities.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

O'Reilly on Data

MARCH 23, 2023

There’s a very important difference between these two almost identical sentences: in the first, “it” refers to the cup. In the second, “it” refers to the pitcher. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. Ethan Mollick says that it is “only OK at search.

IT 260

IT Modeling Testing Risk 260

DataKitchen

MARCH 8, 2023

Manufacturing production errors refer to mistakes or defects that occur during the manufacturing process. DataOps Observability refers to real-time monitoring, detecting, and diagnosing of data status, data pipelines, data tools, and other systems. BI tools like Tableau, PowerBI, etc.). It’s not because they trust the newbies.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

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

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

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. Testing is another area that tends to get neglected, so automated unit test generation will help you get much broader test coverage.

Modeling 95

Modeling Testing Cost-Benefit Experimentation 95

AWS Big Data

MAY 24, 2023

For more information, refer to Retry Amazon S3 requests with EMRFS. To learn more about how to create an EMR cluster with Iceberg and use Amazon EMR Studio, refer to Use an Iceberg cluster with Spark and the Amazon EMR Studio Management Guide , respectively. AIMD is supported for Amazon EMR releases 6.4.0 Delete the EMR cluster.

Data Lake 83

Data Lake Snapshot Metadata Optimization 83

AWS Big Data

JULY 26, 2023

From preview to GA and beyond Today, we are excited to announce the preview of the vector engine, making it available for you to begin testing it out immediately. We recognize that many of you are in the experimentation phase and would like a more economical option for dev-test.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

O'Reilly on Data

JULY 25, 2023

Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. I also installed the latest VS Code (Visual Studio Code) with GitHub Copilot and the experimental Copilot Chat plugins, but I ended up not using them much.

Consulting 246

Consulting Interactive Software IT 246

Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. The challenge has been figuring out what to do once the model is built.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

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

CIO Business Intelligence

DECEMBER 6, 2023

As well as a process that includes human review, and encourages experimentation and thorough evaluation of AI suggestions, guardrails need to be put in place as well to stop tasks from being fully automated when it’s not appropriate. Human reviewers should be trained to critically assess AI output, not just accept it at face value.”

IT 130

IT Risk Management Interactive Modeling 130

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.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Alation

DECEMBER 14, 2021

These systems offer numerous web-centric features that bolster customer service and engagement, provide server scalability during periods of fluctuating traffic, and allow easy experimentation with new technologies and promotional strategies. Cloud testing. Optimized business continuity. Cloud performance. Cloud security. Cloud backup.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

Perceptual Edge

AUGUST 26, 2019

Note: In case the term is unfamiliar, “spatial computing” apparently refers to VR, AR, and other related technologies). Pangilinan wrote chapter 9 of the book, titled “Data and Machine Learning Visual Design and Development in Spatial Computing,” which promotes VR’s usefulness for data visualization. Her case is hollow.

Visualization 52

Visualization Cost-Benefit Interactive Experimentation 52