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Natural Language Processing

Offered By: IBM via Udacity

Tags

Natural Language Processing (NLP) Courses Sentiment Analysis Courses Hidden Markov Models Courses Normalization Courses Word Embeddings Courses

Course Description

Overview

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.

Syllabus

  • 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.
  • 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.
  • 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.
  • Recurrent Neural Networks (NLP Elective)
  • Keras
  • Sentiment Analysis Extras
  • TensorFlow
  • Embeddings and Word2Vec
  • PyTorch
  • Additional Text Preprocessing
  • Career Services

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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