This course, Advanced NLP with Python for Machine Learning, is ideal for those who want to go deeper into NLP. The course is conducted by Dr. Gwendolyn Stripling, and the first lesson is the introduction, which includes the concepts and the progression of NLP. First, you will be reminded about NLP and the Python basics, and then you will be introduced to one of the most used NLP libraries, spaCy. After that, the course explains modern techniques and introduces major transformer models like GPT and BERT. You will study how such big language models can be made better through supervised fine tunnelling, parameter-efficient fine tunnelling, and retrieval aid generation.
In the entire “Advanced NLP with Python for Machine Learning,” course you will learn concrete examples of the real-world use of NLP in such fields as customers’ sentiments. Every chapter is narrowed down to a challenge with the solutions section, where the reader gets to sum up the material just studied. So, if you seek to enhance your proficiency in work relations or any individual-based projects, this course provides a complete and easy-to-follow approach to advanced NLP with Python.
Advanced NLP with Python for Machine Learning Table of Contents:
- Introduction
- Introduction to NLP Libraries
- Review NLP and Python Basics
- Using spaCy for Customer Feedback Analysis
- Modern NLP: Transformers and Large Language Models
- Methods That Improve LLM Performance
- Conclusion
Who is this course for?
- It is prudent to note that my audience of Data Scientists will be interested in learning more advanced techniques used in NLP.
- Machine Learning Engineers - Who wants to enhance the performance of a large language model
- Python programmers – Those who wish to incorporate NLP into their tasks.
- AI Enthusiasts – They want to take advantage of the currently available advanced NLP methods and tools.
- Business Analysts – Intending to do opinion mining and other text mining.
- Students – Data science, machine learning, artificial intelligence.
- Businessmen – Those who want to apply NLP to their businesses or workplaces.
