Favorite Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software isn’t created in one dramatic step. It improves bit by bit, one little step at a time — editing, running unit tests, fixing build errors, addressing code reviews, editing some more, appeasing linters, and fixing more errors —
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Shared by Google AI Technology May 31, 2023
Favorite Amazon SageMaker Ground Truth Plus helps you prepare high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications and managing the labeling workforce. All you do is share data along with labeling requirements, and Ground Truth Plus sets up and manages your data labeling
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Shared by AWS Machine Learning May 31, 2023
Favorite Cost optimization is one of the pillars of the AWS Well-Architected Framework, and it’s a continual process of refinement and improvement over the span of a workload’s lifecycle. It enables building and operating cost-aware systems that minimize costs, maximize return on investment, and achieve business outcomes. Amazon SageMaker is
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Shared by AWS Machine Learning May 31, 2023
Favorite In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support offering. Since its introduction, we have helped hundreds of customers optimize their workloads, set guardrails, and improve the visibility of their machine learning (ML) workloads’ cost and usage. In this series of posts, we
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Shared by AWS Machine Learning May 31, 2023
Favorite In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we’ve helped hundreds of customers optimize their workloads, set guardrails, and improve the visibility of their machine learning (ML) workloads’ cost and usage. In this series of posts, we share
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Shared by AWS Machine Learning May 31, 2023
Favorite In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we’ve helped hundreds of customers optimize their workloads, set guardrails, and improve the visibility of their machine learning (ML) workloads’ cost and usage. In this series of posts, we share
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Shared by AWS Machine Learning May 31, 2023
Favorite In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we have helped hundreds of customers optimize their workloads, set guardrails, and improve visibility of their machine learning (ML) workloads’ cost and usage. In this series of posts, we share
Read More
Shared by AWS Machine Learning May 31, 2023
Favorite Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various
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Shared by AWS Machine Learning May 31, 2023
Favorite Fluor, the construction company, use the month of Knowvember” as an opportunity to publicise KM internally. Fluor are an international engineering and construction company who have been applying a Knowledge management approach, based primarily on Communities of Practice, for well over 20 years. And with a long-running program such
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Shared by Nick Milton May 29, 2023
Favorite Text-to-image generation is a task in which a machine learning (ML) model generates an image from a textual description. The goal is to generate an image that closely matches the description, capturing the details and nuances of the text. This task is challenging because it requires the model to
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Shared by AWS Machine Learning May 27, 2023