Natural Language Processing

This professional Natural Language Processing program takes learners through Text Cleaning and Tokenization, Language Representations, Text Classification, Sequence Labeling, Information Retrieval, Transformers for NLP, Evaluation and Bias, NLP Application. Target audience: Data scientists and engineers working with language data.

Jane Instructor8 chapters34 hoursCertificate included

What you'll learn

Apply text cleaning and tokenization to a practical Natural Language Processing project.

Apply language representations to a practical Natural Language Processing project.

Apply text classification to a practical Natural Language Processing project.

Apply sequence labeling to a practical Natural Language Processing project.

Apply information retrieval to a practical Natural Language Processing project.

Apply transformers for nlp to a practical Natural Language Processing project.

Skills covered

NLP

Tokenization

Transformers

Text Classification

Evaluation

Prerequisites

Python and introductory machine learning

Who this is for

Data scientists and engineers working with language data.

Course modules

1Text Cleaning and TokenizationFree preview

2Language RepresentationsFree preview

3Text Classification

4Sequence Labeling

5Information Retrieval

6Transformers for NLP

7Evaluation and Bias

8NLP Application

Assessments and certification

Natural Language Processing Practice Quiz

8 questions · 20 min · Pass mark 70%

Quiz

Natural Language Processing Certification Exam

8 questions · 60 min · Pass mark 70%

Final exam

Earn your AMNEXT ACADEMY certificate

Complete the course and pass its certification assessment to receive a verifiable certificate.