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

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

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. But it is difficult to not look at the wider picture. silverlinings.

Optimization 154

Optimization Reporting Experimentation Metrics 154

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

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. You're choosing only one metric because you want to optimize it. Testing out a new feature. Identify, hypothesize, test, react. But it is not routine. So, how do we fix this problem?

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

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

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. Model Operations.

IT 346

IT Testing Experimentation Software 346

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

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

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 3, 2023

This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Solution overview To set up and test this experiment, we complete the following high-level steps: Create an S3 bucket. Load the dataset into Amazon S3.

Snapshot 80

Snapshot Data Lake Testing Strategy 80

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. In the second, “it” refers to the pitcher. It was not optimized to provide correct responses.

IT 262

IT Modeling Testing Risk 262

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. For more information, refer to Retry Amazon S3 requests with EMRFS. This property is set to true by default.

Data Lake 80

Data Lake Snapshot Metadata Optimization 80

Occam's Razor

AUGUST 12, 2013

The outcome in either scenario is a restructuring of the organization that is exquisitely geared towards taking advantage of portfolio optimization. Just so we have a visual guide through this learning process, let's use the above image as a reference. Really fun stuff, really long- term strategic implications. Or we could not.)

Modeling 161

Modeling Optimization Marketing Interactive 161

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 109

Modeling Testing Cost-Benefit Experimentation 109

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

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. Optimized business continuity. What is cloud-optimized? Cloud testing.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

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

Cloudera

JUNE 6, 2019

This strategy works well for managing internal chargebacks, limiting the impact of less sophisticated users on more experienced users, and overall encouraging individuals to think about and optimize their jobs and queries now that they have a smaller (but dedicated) cluster. 2) By workload type. 3) By workload priority.

Metadata 88

Metadata Data Lake Optimization Strategy 88

Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. The query graph provides metadata that gets leveraged for optimizations at multiple layers of the relational database stack. SQL and Spark. That’s good stuff.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Occam's Razor

JULY 18, 2011

To not have it as an active part of your marketing portfolio is sub-optimal. Optimal Acquisition Email Metrics. This should drive aggressive experimentation of email content / offers / targeting / every facet by your team. Optimal (Website) Behavior Email Metrics. Optimal Outcomes Email Metrics. But there is more….

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

Domino Data Lab

AUGUST 26, 2019

This control prevents overfitting and reduction in predictive accuracy on new test data. When hyperparameters are also used for optimization and tuned for a specific dataset, they also impact predictive accuracy. Searching is a very general approach to solving or optimizing problems. We need some sort of well-defined process?

Testing 79

Testing Modeling Machine Learning Metrics 79

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. Experimentation and Testing Tools [The "Why" – Part 1].

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

FEBRUARY 7, 2011

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. please refer to the controlled experimentation section, page 205, in the book for more. Post Testing: Visits 30k.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

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

Occam's Razor

JANUARY 28, 2013

It is also known as Mambai, Kakamuchee and Galajunkja for future reference/taxi directions. But there is more to the Security Choice landing page than just passing the all-important transparency test. There are 11 other things you should consider for your landing page optimization strategy: 1. Mmm, hmm, good! :).

Marketing 164

Marketing Insurance Visualization IT 164

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

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. We must correct for multiple hypothesis tests. Make experimentation cheap and understand the cost of bad decisions. We ought not dredge our data.

Experimentation 61

Experimentation Testing Statistics Metrics 61

CIO Business Intelligence

NOVEMBER 24, 2022

I was fascinated by the speed with which you can build a prototype or a trial version with such a technology, which immediately reduces costs and allows you to test the idea in the market.” In the same context, we’re training 25 digital referents, whose daily professional life will be centered on low code.

IT 108

IT Cost-Benefit Consulting Software 108