Favorite The increasing ubiquity of satellite data over the last two decades is helping scientists observe and monitor the health of our constantly changing planet. By tracking specific regions of the Earth’s surface, scientists can observe how regions like forests, water bodies, or glaciers change over time. One such region

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Shared by AWS Machine Learning June 21, 2022

Favorite Mangrove forests are an import part of a healthy ecosystem, and human activities are one of the major reasons for their gradual disappearance from coastlines around the world. Using a machine learning (ML) model to identify mangrove regions from a satellite image gives researchers an effective way to monitor

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Shared by AWS Machine Learning June 21, 2022

Favorite Amazon Web Services and Udacity are partnering to offer free services to educate developers of all skill levels on machine learning (ML) concepts with the AWS Machine Learning Engineer Scholarship program. The program offers free enrollment to the AWS Machine Learning Foundations course and 325 scholarships awarded to the

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Shared by AWS Machine Learning June 21, 2022

Favorite This blog post is co-written with Nick Vargas and Anna Schreiber from Accenture. Scheduling customer appointments is often a manual and labor-intensive process. You can utilize advances in self-service technology to automate appointment scheduling. In this blog post, we show you how to build a self-service appointment scheduling solution

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Shared by AWS Machine Learning June 20, 2022

Favorite This post is co-written with Sowmya Manusani, Sr. Staff Machine Learning Engineer at Zendesk Zendesk is a SaaS company that builds support, sales, and customer engagement software for everyone, with simplicity as the foundation. It thrives on making over 170,000 companies worldwide serve their hundreds of millions of customers

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Shared by AWS Machine Learning June 16, 2022

Favorite Unstructured data continues to grow in many organizations, making it a challenge for users to get the information they need. Amazon Kendra is a highly accurate, intelligent search service powered by machine learning (ML). Amazon Kendra uses deep learning and reading comprehension to deliver precise answers, and returns a

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Shared by AWS Machine Learning June 15, 2022

Favorite In this post, we show you how to implement one of the most downloaded Hugging Face pre-trained models used for text summarization, DistilBART-CNN-12-6, within a Jupyter notebook using Amazon SageMaker and the SageMaker Hugging Face Inference Toolkit. Based on the steps shown in this post, you can try summarizing

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Shared by AWS Machine Learning June 15, 2022

Favorite Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. Edge computing is the act of running workloads on these edge devices. Machine learning at the edge (ML@Edge)

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Shared by AWS Machine Learning June 15, 2022

Favorite Amazon Polly breathes life into text by converting it into lifelike speech. This empowers developers and businesses to create applications that can converse in real time, thereby offering an enhanced interactive experience. Text-to-speech (TTS) in Amazon Polly supports a variety of languages and locales, which enables you to perform

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Shared by AWS Machine Learning June 15, 2022

Favorite Customers in industries like consumer packaged goods, manufacturing, and retail are always looking for ways to empower their operational processes by enriching them with insights and analytics generated from data. Tasks like sales forecasting directly affect operations such as raw material planning, procurement, manufacturing, distribution, and inbound/outbound logistics, and

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Shared by AWS Machine Learning June 15, 2022