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Tag: SageMaker

Using Amazon Textract with Amazon Augmented AI for processing critical documents

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. For...

Reduce inference costs on Amazon EC2 for PyTorch models with Amazon Elastic Inference

You can now use Amazon Elastic Inference to accelerate inference and reduce inference costs for PyTorch models in both Amazon SageMaker and Amazon EC2. PyTorch is a popular deep learning framework that uses dynamic computational graphs. This allows you to easily develop deep learning models with imperative and idiomatic Python code. Inference is the process […]

The 5 Components Towards Building Production-Ready Machine Learning Systems

Introduction The biggest issue facing machine learning is how to put the system into production. Machine learning systems differ from traditional software in two fundamental ways: Machine learning is never fully deterministic; therefore, the performance of an ML system can’t be evaluated against a strict specification. Instead, it should always be evaluated against application-specific metrics (false […]

The post The 5 Components Towards Building Production-Ready Machine Learning Systems appeared first on TOPBOTS.

AWS delivers sessions online at NVIDIA GTC Digital

Starting Tuesday, March 24, 2020, NVIDIA GTC Digital is offering courses for you to learn AWS best practices to accomplish your ML goals...

Building a trash sorter with AWS DeepLens

In this blog post, we show you how to build a prototype trash sorter using AWS DeepLens, the AWS deep learning-enabled video camera...

Self-driving truck boss: ‘Supervised machine learning doesn’t live up to the hype. It isn’t C-3PO, it’s sophisticated pattern matching’

Starsky Robotics shuts down, plus more news from world of neural networks Roundup Let's get cracking with some machine-learning news. Starksy Robotics is...

Reduce ML inference costs on Amazon SageMaker for PyTorch models using Amazon Elastic Inference

Today, we are excited to announce that you can now use Amazon Elastic Inference to accelerate inference and reduce inference costs for PyTorch...

Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker

Amazon SageMaker enables organizations to build, train, and deploy machine learning models. Consumer-facing organizations can use it to enrich their customers’ experiences, for...

Gartner vision quest sees Microsoft, Google and IBM nipping at Amazon Web Services’ heels in cloud AI

Everybody get in here! It's another one of those Magic Quadrants! Gartner analysts have exhaled a "Magic Quadrant" report on Cloud AI developer...

Millennium Management: Secure machine learning using Amazon SageMaker

This is a guest post from Millennium Management. In their own words, “Millennium Management is a global investment management firm, established in 1989,...

AWS and Xilinx Highlight Growing FPGA-as-a-Service Adoption and Partner Collaboration at XDF 2019

Last month at the Xilinx Developer Forum (XDF) Americas 2019, Xilinx CEO Victor Peng was joined on stage by Gadi Hutt, Senior...

Live! XDF Xclusive News

Victor’s keynote kickoff Our 3rd annual Xilinx Developer Forum (XDF) 2019 kicked off today with our CEO Victor Peng’s opening keynote, addressing the more...

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