Fundamentals of Model Training

This course is meant to provide technical audiences and business users with the knowledge required before training a model on their data in the UiPath Communications Mining platform.

This course will go through key concepts, including labels and fields and how they work, as well as an overview of the steps involved in the end-to-end model training process.

The Fundamentals of Model Training takes 50 mins to complete. At the end, you’ll receive a diploma of completion.

To make the most of this learning experience, we recommend going through the introductory UiPath Communications Mining Overview course.

The Fundamentals of Model Training course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business.

The full agenda covers:

• What is model training and what makes a ‘good’ model

• What is Generative Extraction?

• Label, fields, and metadata

• Introduction to model training

• Training with label sentiment analysis

At the end of the Fundamentals of Model Training course, you should be able to:

• Define what model training is.

• Describe what makes a 'good' model.

• Explain labels, fields, metadata, and how to use them.

• Explain what the model learns from during training.

• Explain the overview of model training process.

• List out the labeling best practices for labels and fields.

• Explain how to use 'Train' for a guided label training experience.

• Explain the unique elements of training with label sentiment analysis enabled.