Over the course of this program, you’ll become an expert in the main components of Natural Language Processing, including speech recognition, sentiment analysis, and machine translation. You’ll learn to code probabilistic and deep learning models, train them on real data, and build a career-ready portfolio as an NLP expert!
Learn the skills to get computers to understand, process, and respond to human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.
Overview
Syllabus
- Introduction to Natural Language Processing
- Learn text processing fundamentals, including stemming and lemmatization. Explore machine learning methods in sentiment analysis. Build a speech tagging model.
- Computing with Natural Language
- Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.
- Communicating with Natural Language
- Learn voice user interface techniques that turn speech into text and vice versa. Build a speech recognition model using deep neural networks.
Taught by
Luis Serrano, Jay Alammar, Arpan Chakraborty, Dana Sheahen, Daniel C., Mansa kaur k., Shukhrat K., Ammar A., Philippe Claude Alain R. and Dapeng L.
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