Deep Learning for Natural Language - The Basics - Lecture 5
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Explore the fundamentals of natural language processing through this lecture from MIT's Hands-On Deep Learning course. Learn essential concepts including text vectorization techniques and the bag-of-words model for converting textual data into numerical representations that machine learning algorithms can process. Discover how to implement these foundational NLP concepts through practical demonstrations using Google Colab, gaining hands-on experience with the tools and techniques that form the building blocks of modern natural language processing systems.
Syllabus
5: Deep Learning for Natural Language – The Basics
Taught by
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