NeurIPS competition tackles climate data challenges

Favorite The Earth’s climate is a highly complex, dynamic system. It is difficult to understand and predict how different climate variables interact. Finding causal relations in climate research today relies mostly on expensive and time-consuming model simulations. Fortunately, with the explosion in the availability of large-scale climate data and increasing

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Shared by AWS Machine Learning January 22, 2020

Building a custom classifier using Amazon Comprehend

Favorite Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to find insights and relationships in texts. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; and understands how positive or negative the text is. For more information

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Shared by AWS Machine Learning December 25, 2019

Amazon Textract becomes PCI DSS certified, and retrieves even more data from tables and forms

Favorite Amazon Textract automatically extracts text and data from scanned documents, and goes beyond simple optical character recognition (OCR) to also identify the contents of fields and information in tables, without templates, configuration, or machine learning experience required. Customers such as Intuit, PitchBook, Change Healthcare, Alfresco, and more are already

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Shared by AWS Machine Learning December 19, 2019