Favorite This post was cowritten by Ziv Pollak, Machine Learning Team Lead, and Sarvi Loloei, Machine Learning Engineer at Clearly. The content and opinions in this post are those of the third-party authors and AWS is not responsible for the content or accuracy of this post. A pioneer in online
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Shared by AWS Machine Learning January 27, 2022
Favorite Logz.io is an AWS Partner Network (APN) Advanced Technology Partner with AWS Competencies in DevOps, Security, and Data & Analytics. Logz.io offers a software as a service (SaaS) observability platform based on best-in-class open-source software solutions for log, metric, and tracing analytics. Customers are sending an increasing amount of
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Shared by AWS Machine Learning January 26, 2022
Favorite For any tasks or activities or conceptual frameworks which have to last beyond the limits of the reliability of human memory, you need to start to build a documented Body of Knowledge. Image from wikimedia commons Using human memory as a long term store of knowledge is a risky
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Shared by Nick Milton January 24, 2022
Favorite From training new models to deploying them in production, Amazon SageMaker offers the most complete set of tools for startups and enterprises to harness the power of machine learning (ML) and Deep Learning. With its Transformers open-source library and ML platform, Hugging Face makes transfer learning and the latest
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Shared by AWS Machine Learning January 20, 2022
Favorite Even after more than a hundred years after its introduction, histology remains the gold standard in tumor diagnosis and prognosis. Anatomic pathologists evaluate histology to stratify cancer patients into different groups depending on their tumor genotypes and phenotypes, and their clinical outcome [1,2]. However, human evaluation of histological slides
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Shared by AWS Machine Learning January 20, 2022
Favorite This is the second post in the two-part series on how Tyson Foods Inc., is using computer vision applications at the edge to automate industrial processes inside their meat processing plants. In Part 1, we discussed an inventory counting application at packaging lines built with Amazon SageMaker and AWS
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Shared by AWS Machine Learning January 18, 2022
Favorite Natural language understanding is applied in a wide range of use cases, from chatbots and virtual assistants, to machine translation and text summarization. To ensure that these applications are running at an expected level of performance, it’s important that data in the training and production environments is from the
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Shared by AWS Machine Learning January 18, 2022
Favorite There are two approaches to managing a body of knowledge within a community of practice – curation, and synthesis. One of the functions of a community of practice is to provide a means for developing and co-owning a documented “body of knowledge” on behalf of the community (the other
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Shared by Nick Milton January 17, 2022
Favorite The Amazon Machine Learning Solutions Lab (MLSL) recently created a tool for annotating text with named-entity recognition (NER) and relationship labels using Amazon SageMaker Ground Truth. Annotators use this tool to label text with named entities and link their relationships, thereby building a dataset for training state-of-the-art natural language processing
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Shared by AWS Machine Learning January 14, 2022
Favorite Recommendation systems are one of the most widely adopted machine learning (ML) technologies in real-world applications, ranging from social networks to ecommerce platforms. Users of many online systems rely on recommendation systems to make new friendships, discover new music according to suggested music lists, or even make ecommerce purchase
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Shared by AWS Machine Learning January 13, 2022