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Computing With Natural Language Udacity

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
3 months
Duration
3 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Learn advanced NLP methods including word embeddings, topic modeling, sentiment analysis, and attention-based RNNs with Udacity's Computing With Natural Language program

Overview

This Computing With Natural Language program is offered by Udacity will teach you how to apply these skills to design, train, and implement a machine translation system from start to finish.

Course Skills

  • Machine translation
  • Attention mechanisms
  • Fasttext
  • Information extraction
  • Information retrieval
  • Text summarization
  • Image caption generation
  • Word2vec
  • NLP models
  • Feature extraction
  • Question answering systems
  • Glove

What you will do during this course:

  • Transform text using methods like Bag-of-Words, TF-IDF, Word2Vec and GloVE to extract features that you can use in machine learning models.
  • You'll learn to split a collection of documents into topics using Latent Dirichlet Analysis (LDA). In the lab, you'll be able to apply this model to a dataset of news articles.
  • Learn about using several machine learning classifiers, including Recurrent Neural Networks, to predict the sentiment in text. Apply this to a dataset of movie reviews.
  • You'll learn about a specific architecture of RNNs for generating one sequence from another sequence. These RNNs are useful for chatbots, machine translation, and more!

Programme Structure

Courses include:

  • Feature extraction and embeddings
  • Topic Modeling
  • Sentiment Analysis
  • Sequence to Sequence
  • Deep Learning Attention

Key information

Duration

  • Part-time
    • 3 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prior to enrolling, you should have the following knowledge:

  • Intermediate Python
  • Neural network basics
  • Deep learning framework proficiency
  • Basic probability
  • Object-oriented programming basics

You will also need to be able to communicate fluently and professionally in written and spoken English.

Tuition Fees

Additional Details

  • This program can be paid for with the Udacity subscription.

Funding

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