Natural Language Processing for Speech and Text: From Beginner to Advanced
With Wuraola Oyewusi
Liked by 57 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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Meet the instructor
Learner reviews
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Olanrewaju Adegoke
Olanrewaju Adegoke
Quantitative Data Science Developer @ LSEG | Python | Data Science & Analytics | Machine Learning | LLMs | DevOPs | Quant Developer | NLP | Computer…
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Mihai Septimius Istrate
Mihai Septimius Istrate
I believe that the desire for self-improvement through continuous learning and work can solve any problem.
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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