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
Favorite Technology trends and advancements in digital media in the past decade or so have resulted in the proliferation of text-based data. The potential benefits of mining this text to derive insights, both tactical and strategic, is enormous. This is called natural language processing (NLP). You can use NLP, for
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Shared by AWS Machine Learning February 2, 2022
Favorite All forms of Management involve conversation, and Knowledge Management is no different. The management of intangibles is driven by conversations. Those conversations are focused on the particular intangible in question, and serve to set direction, raise awareness, and lead to action. Risk management is driven by conversations about risk;
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Shared by Nick Milton January 31, 2022
Favorite Introducing Knowledge Management is likely to take a decade before it is fully embedded. Here are some benchmark statistics Over the past few decades we have helped many organisations to benchmark their current status of Knowledge Management. They ask for this service for a number of reasons. Sometimes they
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Shared by Nick Milton January 31, 2022
Favorite Web browsers can be a single pane of glass for organizations to interact with their information—all of the tools can be viewed and accessed on one screen so that users don’t have to switch between applications and interfaces. For example, a customer call center might have several different applications
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Shared by AWS Machine Learning January 28, 2022
Favorite Starting today, you can use Amazon SageMaker Autopilot to tackle regression and classification tasks on large datasets up to 100 GB. Additionally, you can now provide your datasets in either CSV or Apache Parquet content types. Businesses are generating more data than ever. A corresponding demand is growing for
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Shared by AWS Machine Learning January 28, 2022
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