Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. the monitoring of very important operational ML characteristics: data drift, concept drift, and model security). And the goodness doesn’t stop there.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. So as my tiny gift for you here are five experimentation and testing ideas for you. Rather than create prediction models (with faulty assumptions!) This recession season buy your CEO the gift that keeps giving, a experimentation and testing tool.

Testing 113

Testing Experimentation Risk Optimization 113

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.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

DataKitchen

JANUARY 17, 2022

The business analysts creating analytics use the process hub to calculate metrics, segment/filter lists, perform predictive modeling, “what if” analysis and other experimentation. Despite the complexity, mission-critical analytics must be delivered error-free under intense deadline pressure. Data is not static.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

CIO Business Intelligence

DECEMBER 19, 2024

While crucial, if organizations are only monitoring environmental metrics, they are missing critical pieces of a comprehensive environmental, social, and governance (ESG) program and are unable to fully understand their impacts. of survey respondents) and circular economy implementations (40.2%).

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies.

Advertising 124

Advertising Cost-Benefit Experimentation Reporting 124

Cloudera

FEBRUARY 16, 2022

Each time a project is successfully deployed, the trained model is recorded within the Models section of the Projects page. The AMPs framework also supports the promotion of models from the lab into production, a common MLOps task. This might require making batch and individual predictions.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85