dataset-building

Vocabulary Word

Definition

'Dataset-building' refers to gathering and arranging relevant data for a specific purpose. It's like assembling all ingredients before starting to cook a recipe.

Examples in Different Contexts

In machine learning, 'dataset-building' is key to training algorithms effectively. A machine learning engineer might explain, 'Careful dataset-building ensures that our models are trained on high-quality, relevant data, leading to better performance.'

Practice Scenarios

Tech

Scenario:

We are developing a new recommendation algorithm. We need diverse user interactions data.

Response:

Indeed. Concentrated dataset-building will provide the breadth and depth needed for our recommendation algorithm.

Academics

Scenario:

We're embarking on a research project about global warming. Good data collection will be imperative.

Response:

Absolutely. I will start with dataset-building to gather data pertinent to the study of global warming.