June 2024
Intermediate
3h 53m
English
Closed Captioning available in English
Overview
In this 3 hr course, learn to leverage Transformers for powerful NLP applications using Hugging Face's library. You'll explore topics like sentiment analysis, text generation, and summarization, combining theory with practical Python coding to build real-world systems.
What I will be able to do after this course
- Gain an understanding of RNNs and attention mechanisms to underpin modern NLP approaches.
- Develop skills in implementing text analytics tasks including sentiment detection and generation.
- Learn to utilize embeddings and execute semantic search functionalities.
- Create and fine-tune models for text summarization and translation.
- Master advanced NLP techniques such as masked language modeling and zero-shot classification.
Course Instructor(s)
Lazy Programmer, an experienced AI educator, specializes in simplifying complex topics. With a rich background in machine learning and natural language processing, they focus on practical applications. This course emphasizes clear explanations and step-by-step hands-on Python exercises to ensure you master the skills.
Who is it for?
This course is tailored for data scientists, software engineers, and AI enthusiasts who are proficient in Python and have a basic grasp of machine learning principles. It's ideal for those aiming to advance their expertise in natural language processing through practical, application-focused projects.
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