Jay Alammar
Instructor
Jay is a software engineer, the founder of Qaym (an Arabic-language review site), and the Investment Principal at STV, a $500 million venture capital fund focused on high-technology startups.
Natural Language Processing
Nanodegree Program
Master the skills to get computers to understand, process, and manipulate human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.
Master the skills to get computers to understand, process, and manipulate human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.
Advanced
2 months
Real-world Projects
Completion Certificate
Last Updated July 19, 2023
Machine translation • Alexa skill creation • Attention mechanisms • Fasttext
Neural network basics • Object-oriented programming basics • Deep learning framework proficiency
Courses In This Program
Course 1 • 1 hour
Welcome to Natural Language Processing
This section provides an overview of the program and introduces the fundamentals of Natural Language Processing through symbolic manipulation, including text cleaning, normalization, and tokenization. You'll then build a part of speech tagger using hidden Markov models.
Course 2 • 3 weeks
Introduction to Natural Language Processing
This section provides an overview of the program and introduces the fundamentals of Natural Language Processing through symbolic manipulation, including text cleaning, normalization, and tokenization. You'll then build a part of speech tagger using hidden Markov models.
Course 3 • 4 weeks
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.
Course 4 • 4 weeks
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 The Best
Arpan Chakraborty
Instructor
Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
Luis Serrano
Instructor
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Dana Sheahen
Content Developer
Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.
Ratings & Reviews
Average Rating: 4.5 Stars
(275 Reviews)
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