Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111

Modeling Statistics Testing Metrics 111

Alation

OCTOBER 12, 2022

Academic Quantitative Analysis represents the next chapter in zip code analysis; this form of analysis focuses on the interplay between variables after they have been operationalized, allowing the analyst to study and measure outcomes ( Quantitative and statistical research methods: from hypothesis to results , Bridgmon & Martin, 2006.).

Statistics 52

Statistics Sales Testing Marketing 52

IBM Big Data Hub

FEBRUARY 6, 2024

Today, these three cloud architecture models are not mutually exclusive; instead, they work in concert to create a hybrid multicloud—an IT infrastructure model that uses a mix of computing environments (e.g., on-premises, private cloud, public cloud, edge) with public cloud services from more than one provider.

Cost-Benefit 108

Cost-Benefit Digital Transformation Software Modeling 108

Occam's Razor

OCTOBER 16, 2007

I had first written about the wonders of site search analysis in a June 2006 post: Are You Into Internal Site Search Analysis? Now you can go to these pages, see what people are searching for and gain ideas of potential fixes or multivariate tests to improve page performance. You Should Be. Both super features.

Analytics 101

Analytics Metrics Measurement Reporting 101

BizAcuity

MAY 10, 2022

2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. Hadoop was developed in 2006. Amazon launches AWS (but no cloud solutions yet). The pain point?

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

AWS Big Data

JUNE 30, 2023

Position 2 was established in 2006 in Silicon Valley and has a clientele spanning American Express, Lenovo, Fujitsu, and Thales. Pay as you go model – Consumption-based pricing ensured flexibility for our customers and us by allowing us to innovate with no monetary risks. APIs helped us with authorization and authentication.

Marketing 52

Marketing Dashboards Advertising ROI 52

O'Reilly on Data

JULY 25, 2023

I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. Setting the Stage: Who Am I and What Am I Trying to Build?

Consulting 246

Consulting Interactive Software IT 246

Occam's Razor

FEBRUARY 7, 2011

The best option is to hire a statistician with experience in data modeling and forecasting. Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. Post Testing: Visits 30k. Please see the advice above. the web is so insanely fluid, 2.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

APRIL 21, 2014

Strategy two… Book two hours with the senior most company leaders who will talk to you, and create the Digital Marketing and Measurement Model. Why is it so incredibly difficult to make people understand that last click attribution model is just idiot? For additional inspiration seek our media-mix modeling techniques.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Occam's Razor

DECEMBER 12, 2011

A/B & Multivariate tests are a good option. Try, test, measure, be rich. Here's how that picture might look like (from a post I wrote in July 2006!)… Assisted Conversions builds on the above mental model. Kill Useless Web Metrics: Apply The "Three Layers Of So What" Test. Where is it?

Metrics 151

Metrics Key Performance Indicator Measurement Optimization 151

CIO Business Intelligence

OCTOBER 11, 2022

Built on Amazon SageMaker , a service to build, train, and deploy ML models, AI Bench has accelerated the pace of innovation and reduced the barrier of entry for machine learning across AstraZeneca. . “We More quickly moving from ideas to insights has aided new drug development and the clinical trials used for testing new products.

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

datapine

DECEMBER 28, 2021

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. Statistical reliability is crucial in order to ensure the precision and validity of the analysis.

Statistics 363

Statistics Advertising Visualization Data mining 363

Occam's Razor

FEBRUARY 9, 2015

My first blog post on the topic of CIA was on 14th Aug 2006! Is Getty really competing with these sites, given its business model? Structure tests to validate these hypotheses. In each case, frame it as a hypothesis, test it, make bigger changes. Competitive Intelligence Analysis: Why, What & How to Choose.

Metrics 155

Metrics Reporting IT Advertising 155