Favorite This is a guest post by Jeff McKelvey, Principal Development Lead at HiConversion. The team at HiConversion has collaborated closely with James Jory, Applied AI Services Solutions Architect at AWS, and Matt Chwastek, Senior Product Manager for Amazon Personalize at AWS. In their own words, “HiConversion is the eCommerce

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Shared by AWS Machine Learning April 30, 2021

Favorite This is a guest post by Cyrus Wong, an AWS Machine Learning Hero. You can learn more about and connect with AWS Machine Learning Heroes at the community page.  On July 29, 2020, AWS announced that Amazon Translate now supports Microsoft Office documents, including .docx, .xlsx, and .pptx. The

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Shared by AWS Machine Learning April 30, 2021

Favorite AWS DeepRacer is the fastest way to get started with machine learning (ML). You can train reinforcement learning (RL) models by using a 1/18th scale autonomous vehicle in a cloud-based virtual simulator and compete for prizes and glory in the global AWS DeepRacer League. Today, we’re expanding AWS DeepRacer’s

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Shared by AWS Machine Learning April 28, 2021

Favorite We’re back with two new challenges for the AWS DeepComposer Chartbusters 2021 season! Chartbusters is a global challenge in which developers use AWS DeepComposer to create original compositions and compete in monthly challenges to showcase their machine learning (ML) and generative artificial intelligence (AI) skills. Regardless of your background

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Shared by AWS Machine Learning April 28, 2021

Favorite Processing large documents like PDFs and static images is a cornerstone of today’s highly regulated industries. From healthcare information like doctor-patient visits and bills of health, to financial documents like loan applications, tax filings, research reports, and regulatory filings, these documents are integral to how these industries conduct business.

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Shared by AWS Machine Learning April 28, 2021

Favorite In industrial IoT, running machine learning (ML) models on edge devices is necessary for many use cases, such as predictive maintenance, quality improvement, real-time monitoring, process optimization, and security. The energy industry, for instance, invests heavily in ML to automate power delivery, monitor consumption, optimize efficiency, and extend the

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Shared by AWS Machine Learning April 27, 2021

Favorite This post was guest authored by AWS Advanced Consulting Partner Quantiphi. The mortgage industry is highly complex and largely dependent on documents for the information required across different stages in their business value chain. Day-to-day operations for mortgage underwriting, property appraisal, and mortgage insurance underwriting are heavily dependent on

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Shared by AWS Machine Learning April 24, 2021

Favorite Determining the relevance of a sentence when compared to a specific document is essential for many different types of applications across various industries. In this post, we focus on a use case within the healthcare field to help determine the accuracy of information regarding patient health. Frequently, during each

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Shared by AWS Machine Learning April 24, 2021

Favorite Data quality is an important topic for virtually all teams and systems deriving insights from data, especially teams and systems using machine learning (ML) models. Supervised ML is the task of learning a function that maps an input to an output based on examples of input-output pairs. For a

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Shared by AWS Machine Learning April 23, 2021

Favorite Amazon Lookout for Vision is a machine learning (ML) service that spots defects and anomalies in visual representations using computer vision (CV). With Amazon Lookout for Vision, manufacturing companies can increase quality and reduce operational costs by quickly identifying differences in images of objects at scale. Many enterprise customers

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Shared by AWS Machine Learning April 23, 2021