Intro to NLP - Course Syllabus

Students will learn the fundamental concepts of Natural Language Processing (NLP) and text processing. The course covers fundamental concepts and real-world applications of NLP, including text processing, data acquisition, data preprocessing, machine learning models, and model deployment. Students will learn to describe common NLP techniques, process textual data, apply data preprocessing techniques, and explore various NLP models and algorithms. The course also delves into advanced models such as LSTM, Transformers, and BERT, and discusses ethical issues in language models. The instructional resources include up-to-date articles, tutorials, and tools like Kaggle, Google Colab, and Jupyter notebook.

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