Advanced NLP with Python for Machine Learning
With Gwendolyn Stripling
Liked by 272 users
Duration: 1h 26m
Skill level: Advanced
Released: 5/29/2024
Course details
This course is for anyone who wants to learn more advanced NLP methods. Instructor Gwendolyn Stripling, PhD, begins with a look at the fundamental concepts and principles of NLP, including the evolution and significance of natural language processing. She then reviews some NLP and Python basics—and introduces the NLP library spaCy—before jumping into more modern techniques and advancements in natural language processing using Transformer Models like GPT and BERT. Methods such as supervised fine-tuning, parameter efficient fine-tuning (PEFT), and retrieval-augmented generation (RAG) give you the foundational knowledge you need to improve large language model (LLM) performance. Learn the ways you can apply NLP in your applications and day-to-day, including how to analyze customer sentiments Each chapter ends with a challenge and solution, so you can test your knowledge as you go.
Skills you’ll gain
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Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructor
Learner reviews
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Felicia Williams
Felicia Williams
Senior Data Scientist | Applied AI & LLM Systems | Building AI Products & Scalable Data Solutions
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Douglas Daly
Douglas Daly
Principal Consultant, Daly Engineers | Staff / Principal Data Scientist & ML Engineer | GenAI (RAG, Agents) | MLOps + Reliability | Models → Decisions
Contents
What’s included
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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