Favorite Academic research and open-source software development are at the forefront of machine learning (ML) technology development. Since 2017, the AWS Machine Learning Research Awards (MLRA) has been aiming to advance machine learning by funding innovative research, training students, and providing researchers with access to the latest technology. MLRA has
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Shared by AWS Machine Learning November 1, 2019
Favorite Financial institutions that extend credit face the dual tasks of evaluating the credit risk associated with each loan application and determining a threshold that defines the level of risk they are willing to take on. The evaluation of credit risk is a common application of machine learning (ML) classification
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Shared by AWS Machine Learning October 31, 2019
Favorite With less than 40 days to re:Invent 2019, the excitement is building up and we are looking forward to seeing you all soon! Continuing our journey on artificial intelligence and machine learning, we are bringing a lot of technical content this year, with over 200 breakout sessions, deep-dive chalk
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Shared by AWS Machine Learning October 24, 2019
Favorite Amazon Polly turns text into lifelike speech. In July 2019, AWS launched eight US English and three UK English voices in Neural Text-to-Speech (NTTS) technology, which delivers ground-breaking improvements in speech quality through a new machine learning approach. Polly is now adding the first non-English NTTS voices, in US
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Shared by AWS Machine Learning October 23, 2019
Favorite Today AWS is pleased to announce that it is working with Facebook, Microsoft, and the Partnership on AI on the first Deepfakes Detection Challenge. The competition, to which we are contributing up to $1 million in AWS credits to researchers and academics over the next two years, is designed
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Shared by AWS Machine Learning October 22, 2019
Favorite The AWS DeepRacer League is the world’s first autonomous racing league, open to anyone. Announced at re:Invent 2018, it puts machine learning in the hands of every developer in a fun and exciting way. Throughout 2019, developers of all skill levels have competed in the League at 21 Amazon
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Shared by AWS Machine Learning October 17, 2019
Favorite The 2019 Major League Baseball (MLB) postseason is here after an exhilarating regular season in which fans saw many exciting new developments. MLB and Amazon Web Services (AWS) teamed up to develop and deliver three new, real-time machine learning (ML) stats to MLB games: Stolen Base Success Probability, Shift
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Shared by AWS Machine Learning October 16, 2019
Favorite In daily conversations, you often jump back and forth between multiple topics. For example, when discussing a home improvement project related to new windows and curtains, you might have questions like, “How about closing out on curtain styles and then revisiting colors?” When AWS launched Amazon Lex Session API,
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Shared by AWS Machine Learning October 11, 2019
Favorite Today, Amazon Web Services (AWS) announced that Amazon Textract, a machine learning service that quickly and easily extracts text and data from scanned documents, is now eligible for healthcare workloads that require HIPAA certification. This launch builds upon the existing portfolio of AWS artificial intelligence services that are HIPAA-eligible,
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Shared by AWS Machine Learning October 10, 2019
Favorite Building a highly accurate training dataset for your machine learning (ML) algorithm is an iterative process. It is common to review and continuously adjust your labels until you are satisfied that the labels accurately represent the ground truth, or what is directly observable in the real world. ML practitioners
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Shared by AWS Machine Learning October 10, 2019
Shared by AWS Machine Learning November 1, 2019
