Categoría: Amazon SageMaker

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AWS Weekly Roundup: R7iz Instances, Amazon Connect, CloudWatch Logs, and Lots More (Sept. 11, 2023)

Publicada el por Stack Over Cloud

Looks like it is my turn once again to write the AWS Weekly Roundup. I wrote and published the first one on April 16, 2012 — just 4,165 short day ago! Last Week’s Launches Here are some of the launches that caught my eye last week: R7iz Instances – Optimized for high CPU performance and Read more about AWS Weekly Roundup: R7iz Instances, Amazon Connect, CloudWatch Logs, and Lots More (Sept. 11, 2023)[…]

AWS Weekly Roundup: Farewell EC2-Classic, EBS at 15 Years, and More (Sept. 4, 2023)

Publicada el por Stack Over Cloud

Last week, there was some great reading about Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic Block Store (Amazon EBS) written by AWS tech leaders. Dr. Werner Vogels wrote Farewell EC2-Classic, it’s been swell, celebrating the 17 years of loyal duty of the original version that started what we now know as cloud computing. Read more about AWS Weekly Roundup: Farewell EC2-Classic, EBS at 15 Years, and More (Sept. 4, 2023)[…]

AWS Weekly Roundup – AWS Dedicated Zones, Events and More – August 28, 2023

Publicada el por Stack Over Cloud

This week, I will meet our customers and partners at the AWS Summit Mexico. If you are around, please come say hi at the community lounge and at the F1 Game Day where I will spend most of my time. I would love to discuss your developer experience on AWS and listen to your stories Read more about AWS Weekly Roundup – AWS Dedicated Zones, Events and More – August 28, 2023[…]

Amazon SageMaker Geospatial Capabilities Now Generally Available with Security Updates and More Use Case Samples

Publicada el por Stack Over Cloud

At AWS re:Invent 2022, we previewed Amazon SageMaker geospatial capabilities, allowing data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data. Geospatial ML with Amazon SageMaker supports access to readily available geospatial data, purpose-built processing operations and open source libraries, pre-trained ML models, and built-in visualization tools with Read more about Amazon SageMaker Geospatial Capabilities Now Generally Available with Security Updates and More Use Case Samples[…]

AWS Week in Review – February 27, 2023

Publicada el por Stack Over Cloud

A couple days ago, I had the honor of doing a live stream on generative AI, discussing recent innovations and concepts behind the current generation of large language and vision models and how we got there. In today’s roundup of news and announcements, I will share some additional information—including an expanded partnership to make generative Read more about AWS Week in Review – February 27, 2023[…]

AWS Week in Review – January 16, 2023

Publicada el por Stack Over Cloud

Today, we celebrate Martin Luther King Jr. Day in the US to honor the late civil rights leader’s life, legacy, and achievements. In this article, Amazon employees share what MLK Day means to them and how diversity makes us stronger. Coming back to our AWS Week in Review—it’s been a busy week! Last Week’s Launches Read more about AWS Week in Review – January 16, 2023[…]

AWS Week in Review – December 12, 2022

Publicada el por Stack Over Cloud

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! The world is asynchronous, is what Werner Vogels, Amazon CTO, reminded us during his keynote last week at AWS re:Invent. At the beginning of the keynote, he showed us how Read more about AWS Week in Review – December 12, 2022[…]

New for Amazon SageMaker – Perform Shadow Tests to Compare Inference Performance Between ML Model Variants

Publicada el por Stack Over Cloud

As you move your machine learning (ML) workloads into production, you need to continuously monitor your deployed models and iterate when you observe a deviation in your model performance. When you build a new model, you typically start validating the model offline using historical inference request data. But this data sometimes fails to account for Read more about New for Amazon SageMaker – Perform Shadow Tests to Compare Inference Performance Between ML Model Variants[…]

Next Generation SageMaker Notebooks – Now with Built-in Data Preparation, Real-Time Collaboration, and Notebook Automation

Publicada el por Stack Over Cloud

In 2019, we introduced Amazon SageMaker Studio, the first fully integrated development environment (IDE) for data science and machine learning (ML). SageMaker Studio gives you access to fully managed Jupyter Notebooks that integrate with purpose-built tools to perform all ML steps, from preparing data to training and debugging models, tracking experiments, deploying and monitoring models, Read more about Next Generation SageMaker Notebooks – Now with Built-in Data Preparation, Real-Time Collaboration, and Notebook Automation[…]

AWS Machine Learning University New Educator Enablement Program to Build Diverse Talent for ML/AI Jobs

Publicada el por Stack Over Cloud

AWS Machine Learning University is now providing a free educator enablement program. This program provides faculty at community colleges, minority-serving institutions (MSIs), and historically Black colleges and universities (HBCUs) with the skills and resources to teach data analytics, artificial intelligence (AI), and machine learning (ML) concepts to build a diverse pipeline for in-demand jobs of Read more about AWS Machine Learning University New Educator Enablement Program to Build Diverse Talent for ML/AI Jobs[…]