Favorite Financial documents such as bank, loan, or mortgage statements are often formatted to be visually appealing and easy to read for the human eye. These same features can also make automated processing challenging at times. For instance, in the following sample statement, merging rows or columns in a table
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Shared by AWS Machine Learning June 2, 2022
Favorite Amazon Kendra offers highly accurate semantic and natural language search powered by machine learning (ML). Many organizations use GitHub as a code hosting platform for version control and to redefine collaboration of open-source software projects. A GitHub account repository might include many content types, such as files, issues, issue
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Shared by AWS Machine Learning June 2, 2022
Favorite Amazon Lookout for Metrics is an AWS service that uses machine learning (ML) to automatically monitor the metrics that are most important to businesses with greater speed and accuracy. The service also makes it easier to diagnose the root cause of anomalies, such as unexpected dips in revenue, high
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Shared by AWS Machine Learning June 1, 2022
Favorite In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as
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Shared by AWS Machine Learning June 1, 2022
Favorite Having an environment capable of delivering Amazon SageMaker notebook instances quickly allows data scientists and business analysts to efficiently respond to organizational needs. Data is the lifeblood of an organization, and analyzing that data efficiently provides useful insights for businesses. A common issue that organizations encounter is creating an
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Shared by AWS Machine Learning June 1, 2022
Favorite What are the limits to one person’s knowledge? Other than being “one personbyte”? Books in a stack by Evan Bench on Flickr The April 1, 2017 edition of New Scientist magazine had the theme of Knowledge, and contained a set of Knowledge-related articles, one of which dealt with the issue
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Shared by Nick Milton May 30, 2022
Favorite Posted by Pasin Manurangsi and Chiyuan Zhang, Research Scientists, Google Research Over the last several years, there has been an increased focus on developing differential privacy (DP) machine learning (ML) algorithms. DP has been the basis of several practical deployments in industry — and has even been employed by
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Shared by Google AI Technology May 25, 2022
Favorite Is that really Tacit Knowledge in your head, or is it just the Stories you like to tell yourself? IMAGINATION by archanN on wikimedia commons All Knowledge Managers know about the difference between tacit knowledge and explicit knowledge (or at least they think they do!), and they know the
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Shared by Nick Milton May 23, 2022
Favorite Since the global financial crisis, risk management has taken a major role in shaping decision-making for banks, including predicting loan status for potential customers. This is often a data-intensive exercise that requires machine learning (ML). However, not all organizations have the data science resources and expertise to build a
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Shared by AWS Machine Learning May 19, 2022
Favorite FORMULA 1 (F1) cars are the fastest regulated road-course racing vehicles in the world. Although these open-wheel automobiles are only 20–30 kilometers (or 12–18 miles) per-hour faster than top-of-the-line sports cars, they can speed around corners up to five times as fast due to the powerful aerodynamic downforce they
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Shared by AWS Machine Learning May 19, 2022