Applied Information Extraction in Python

Offered by University of Michigan. In “Applied Information Extraction in Python,” you will learn how to extract useful information from ... Enroll for free.

• Develop skills to process and interpret information presented in free-text data.
• Identify the major classes of named entity recognition (NER) and implement, with guidance, state-of-the-art machine learning techniques for NER.
• Compare, contrast, and select between multiple machine learning and deep learning approaches for NER.
• Explore Large Language Models and configure a Transformer-based pipeline to extract entities of interest from a text dataset.