Natural Language Processing for Speech and Text: From Beginner to Advanced
With Wuraola Oyewusi
Liked by 110 users
Duration: 3h 9m
Skill level: Intermediate
Released: 10/3/2024
Course details
With the recent surge in large language models, it's particularly relevant to explore the evolution of NLP techniques, from traditional methods to current industry standards. In this course, Wuraola Oyewusi—an experienced data scientist and machine learning and artificial intelligence professional—helps you build a strong foundation in natural language processing (NLP) concepts and addresses the end-to-end application of NLP. Learn about both text and speech data while you explore the theoretical background of NLP concepts, the historical evolution of NLP techniques, and current applications of NLP representation techniques for both text and speech data. Dive into code-based practice exercises for preprocessing techniques and tasks for both text and speech data. Plus, check out a wide range of Python libraries, including NLTK, spaCy, Hugging Face, Transformers, librosa, scikit-learn, gensim, and torchaudio.
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.
LinkedIn Learning
Certificate of Completion
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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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Emmanuel Ekechukwu
Emmanuel Ekechukwu
AI Researcher | Explainable AI | ML applications in Education, Healthcare, Energy & Intelligent Systems
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Ardra Nair
Ardra Nair
🎓 AI & Data Science Graduate | B.Tech in CS | Entry-Level IT | Python | SQL | Data Analyst | AI Engineer | Machine Learning Engineer | Open to…
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Olusegun Oshota
Olusegun Oshota
🔬 Bioinformatics Consultant | Genomics, Multi-Omics, AI/ML, and Translational Research
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone