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This course provides an overview of natural language processing (NLP) on modern Intel® architecture. Topics include:
By the end of this course, students will have practical knowledge of:
The course is structured around eight weeks of lectures and exercises. Each week requires three hours to complete.
This class introduces the uses and history of NLP. Topics include:
This class teaches how to use NLP toolkits and preprocessing techniques. Topics include:
This class introduces how to measure similarity between words. Learn more about:
This class shows how machine learning is used for basic text classification. Topics include:
This class teaches an algorithm for natural language understanding and topic modeling. Learn more about:
This class continues to teach how to model and extract topics in text. Learn more about:
This week teaches machine learning algorithms for NLP. Topics include:
Continuing with the topic of machine learning, this class teaches more about applying neural networks. Topics include: