Favorite When it comes to running distributed machine learning (ML) workloads, AWS offers you both managed and self-service offerings. Amazon SageMaker is a managed service that can help engineering, data science, and research teams save time and reduce operational overhead. AWS ParallelCluster is an open-source, self-service cluster management tool for
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Shared by AWS Machine Learning November 6, 2019
Favorite When it comes to running distributed machine learning (ML) workloads, AWS offers you both managed and self-service offerings. Amazon SageMaker is a managed service that can help engineering, data science, and research teams save time and reduce operational overhead. AWS ParallelCluster is an open-source, self-service cluster management tool for
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Shared by AWS Machine Learning November 6, 2019
Favorite There are some circumstances where re-using captured knowledge is helpful, but many more where a conversation with an experienced person is a better option. I have referred a few times in this blog to a very interesting paper by Martine Haas and Morten Hansen, who look at success data from bid
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Shared by Nick Milton November 6, 2019
Favorite A popular post from the archives – the 4 legs on the KM table Image from wikimedia commons It’s very easy to develop an unbalanced perspective on Knowledge Management, especially when we work closely with the topic, but it is something that we should strive to avoid. I was
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Shared by Nick Milton November 5, 2019
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 This moment represents a distinct milestone in our effort to harness the principles of quantum mechanics to solve computational problems. View Original Source (blog.google/technology/ai/) Here.
Favorite It has been fifteen years since I wrote my first solo KM book, “Knowledge Management for Teams and Projects“. I reproduce below the final chapter, that attempts to summarize the main conclusions for three groups of key Knowledge Management actors; the project managers and knowledge managers, the Community coordinators
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Shared by Nick Milton October 23, 2019
Shared by AWS Machine Learning November 6, 2019
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