Computing With Natural Language

Offered byUDACITY

Computing With Natural Language
at
UDACITY
Overview

Duration	4 weeks
Total fee	₹20,500
Mode of learning	Online
Difficulty level	Advanced
Official Website	Go to Website
Credential	Certificate

Computing With Natural Language
at
UDACITY
Highlights

Flexible learning program
Technical mentor support
Practical tips and industry best practices
Unlimited submissions and feedback loops
Additional suggested resources to improve

Computing With Natural Language
at
UDACITY
Course details

What are the course deliverables?

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

More about this course

Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures

Computing With Natural Language
at
UDACITY
Curriculum

Introduction to Computing With Natural Language

Feature extraction and embeddings

Topic Modeling

Sentiment Analysis

Sequence to Sequence

Deep Learning Attention

RNN Keras Lab

Project: Machine Translation

Computing With Natural Language
at
UDACITY
Faculty details

Luis Serrano

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

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.