Amazon Web Services FeedDeploy machine learning models to Amazon SageMaker using the ezsmdeploy Python package and a few lines of code Customers on AWS deploy trained machine learning (ML) and deep learning (DL) models in production using Amazon SageMaker, and using other services such as AWS Lambda, AWS Fargate, AWS Elastic Beanstalk, and Amazon Elastic…
Amazon Web Services FeedDelivering real-time racing analytics using machine learning AWS DeepRacer is a fun and easy way for developers with no prior experience to get started with machine learning (ML). At the end of the 2019 season, the AWS DeepRacer League engaged the Amazon ML Solutions Lab to develop a new sports analytics feature…
Amazon Web Services Feed7 AWSome ways to use AWS Chatbot AWS Chatbot is an interactive agent that makes it easy to monitor and interact with your AWS resources in your Slack channels and Amazon Chime chat rooms. With AWS Chatbot you can receive alerts, run commands to return diagnostic information, invoke AWS Lambda functions, and…
Amazon Web Services FeedWhizlabs Announcement: Most-Affordable Annual Subscription Plan Hello Whizlabs Community! We are very happy to announce the launch of our new yearly subscription plan to make our courses more accessible and affordable for you. Once subscribed for the Whizlabs annual subscription plan, one may get complete access to entire Whizlabs courses (online courses,…
Amazon Web Services FeedBuilding a location-based, scalable, serverless web app – part 3 In part 2, I cover the API configuration, geohashing algorithm, and real-time messaging architecture used in the Ask Around Me web application. These are needed for receiving and processing questions and answers, and sending results back to users in real time. In…
Amazon Web Services FeedHow TripleLift Built an Adtech Data Pipeline Processing Billions of Events Per Day This is a guest post by Eunice Do, Data Engineer at TripleLift, a technology company leading the next generation of programmatic advertising. What is the name of your system and where can we find out more about it?…