Favorite Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. This post shows how you can mask profane words and phrases with a grawlix string (“?$#@$”). Amazon Translate typically chooses clean words for your translation output. But in some situations, you want
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Shared by AWS Machine Learning February 11, 2022
Favorite Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. Often, customers have objects in S3 buckets that need further processing to be used effectively by consuming applications. Data engineers must support these application-specific data views with trade-offs between
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Shared by AWS Machine Learning February 10, 2022
Favorite Intelligent document processing (IDP) is a common use case for customers on AWS. You can utilize Amazon Comprehend and Amazon Textract for a variety of use cases ranging from document extraction, data classification, and entity extraction. One specific industry that uses IDP is insurance. They use IDP to automate data extraction for common
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Shared by AWS Machine Learning February 9, 2022
Favorite The AWS Machine Learning Operations (MLOps) framework is an iterative and repetitive process for evolving AI models over time. Like DevOps, practitioners gain efficiencies promoting their artifacts through various environments (such as quality assurance, integration, and production) for quality control. In parallel, customers rapidly adopt multi-account strategies through AWS
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Shared by AWS Machine Learning February 8, 2022
Favorite As humans, we constantly learn from the world around us. We experience inputs that shape our knowledge — including the boundaries of both what we know and what we don’t know. Many of today’s machines also learn by example. However, these machines are typically trained on datasets and information
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Shared by Google AI Technology February 8, 2022
Favorite Many of our AWS customers provide research, analytics, and business intelligence as a service. This type of research and business intelligence enables their end customers to stay ahead of markets and competitors, identify growth opportunities, and address issues proactively. For example, some of our financial services sector customers do
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Shared by AWS Machine Learning February 7, 2022
Favorite It is generally acknowledged that KM requires a culture of trust. But is remote working eroding trust, and what might this do to KM? Trust by Vic on Flickr There are many studies of the links between Knowledge Management and trust (see here, here, and here for example). Without
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Shared by Nick Milton February 7, 2022
Favorite Amazon SageMaker Data Wrangler is a new capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications via a visual interface. Data preparation is a crucial step of the ML lifecycle, and Data Wrangler provides an end-to-end solution
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Shared by AWS Machine Learning February 2, 2022
Favorite Amazon SageMaker Data Wrangler makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications by using a visual interface. Previously, when you created a Data Wrangler data flow, you could choose different export options to easily integrate that data flow into your data
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Shared by AWS Machine Learning February 2, 2022
Favorite Amazon SageMaker Data Wrangler is a new capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications by using a visual interface. It contains over 300 built-in data transformations so you can quickly normalize, transform, and combine features
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Shared by AWS Machine Learning February 2, 2022