Build Natural Language Processing models with Amazon SageMaker
This resource is published by AWS
In this session, we showcase the power of machine learning in taking a large corpus of a foreign language text and automatically learning word embeddings for that language. This is typically the first key step in building natural language processing (NLP) solutions, such as text classification or topic modeling. You see how easy it is to apply the BlazingText algorithm built into Amazon SageMaker in order to process the entire contents of Wikipedia in this language and visualize the results. You then can apply these learnings to any language of your choice.
Related categories
Software, Applications, Operating Systems, CRM, SaaS, Databases , Document Management, Enterprise Software, System Development Tools, Enterprise Resource Planning ( ERP ), Groupware, Workflow Software, Collaboration Software, Open Source, Productivity Software, SD WAN, Software Defined Networking, End User Experience, AlOps, ITSM, DevOps, Machine Learning, Machine Data, Data Automation, AIM
ENTER DETAILS BELOW FOR YOUR FREE DOWNLOAD
If you would like to receive information from Amazon Web Services, Inc. and Amazon Web Services EMEA SARL related to AWS services, events, and any special offers by email, post or telephone, please check this box. Your information will be handled in accordance with IT Corporate’s Privacy Policy and the AWS Privacy Notice, and you can unsubscribe at any time as described in those notices
Download Now
More Resources from AWS
Reduce the cost of running Windows Workloads by using AWS