Skills you'll learn:

Computing With Natural Language
Course
Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.
Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.
Advanced
1 month
Last Updated June 19, 2024
Prerequisites:
Advanced
1 month
Last Updated June 19, 2024
Skills you'll learn:
Prerequisites:
Course Lessons
Lesson 1
Introduction to Computing With Natural Language
An introduction of the course outline and prerequisite.
Lesson 2
Feature extraction and embeddings
Transform text using methods like Bag-of-Words, TF-IDF, Word2Vec and GloVE to extract features that you can use in machine learning models.
Lesson 3
Topic Modeling
In this section, 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.
Lesson 4
Sentiment Analysis
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.
Lesson 5
Sequence to Sequence
Here 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!
Lesson 6
Deep Learning Attention
Attention is one of the most important recent innovations in deep learning. In this section, you'll learn attention, and you'll go over a basic implementation of it in the lab.
Lesson 7
RNN Keras Lab
This section will prepare you for the Machine Translation project. Here you will get hands-on practice with RNNs in Keras.
Lesson 8 • Project
Project: Machine Translation
Apply the skills you've learned in Natural Language Processing to the challenging and extremely rewarding task of Machine Translation.
Taught By The Best

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.

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.

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.
The Udacity Difference
Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success
Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.
Get help from subject matter experts
Learn industry best practices
Gain valuable insights and improve your skills

Enroll in Computing With Natural Language. Choose the plan that works for you
All Access monthly
Cancel Anytime
Unlimited access to our top-rated courses
Hands-on projects with expert feedback
Personalized career coaching and interview prep
Program Certificates
Best Value
All Access bundle1
All the same great benefits as our monthly plan
The most cost-effective way to develop the skills you want
- 1Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.
Your subscription also includes:
Your subscription also includes:

(309)
2 months
Advanced

2 weeks
Advanced

2 weeks
Intermediate

2 weeks
Intermediate

2 weeks
Beginner

4 weeks
Intermediate

(477)
2 months
Advanced

2 months
Beginner

(8)
2 months
Intermediate

(966)
3 months
Intermediate

3 weeks
Advanced

2 months
Beginner

2 weeks
Advanced

3 weeks
Intermediate

1 week
Fluency

3 weeks
Advanced