Ontotext

APRIL 6, 2023

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Smart Data Collective

MARCH 13, 2020

But if you’re still working with outdated methods, you need to look for ways to fully optimize your approach as you move forward. The better strategy is to demarcate each data science project into four distinct phases : Phase 1: Preliminary Analysis. Phase 4: Knowledge Discovery. 5 Tips for Better Data Science Workflows.

Data Science 100

Data Science Key Performance Indicator Knowledge Discovery Visualization 100

Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. A risk issue in one financial institution could result in a domino effect for many.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95