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Favorite This blog post was co-authored, and includes an introduction, by Rob Smedley, Director of Data Systems at Formula 1 Formula 1 (F1) racing is the most complex sport in the world. It is the blended perfection of human and machine that create the winning formula. It is this blend
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Shared by AWS Machine Learning August 20, 2020
Favorite Machine learning (ML)-based recommender systems aren’t a new concept, but developing such a system can be a resource-intensive task—from data management during training and inference, to managing scalable real-time ML-based API endpoints. Amazon Personalize allows you to easily add sophisticated personalization capabilities to your applications by using the same
Read More Shared by AWS Machine Learning August 20, 2020
Favorite Amazon Personalize now makes it easier to create personalized recommendations for fast-changing catalogs of books, movies, music, news articles, and more, improving recommendations by up to 50% (measured by click-through rate) with just a few clicks in the AWS console. Without needing to change any application code, Amazon Personalize
Read More Shared by AWS Machine Learning August 17, 2020
Favorite This is a guest blog post by Francisco Zamora and Nicholas Burden at TensorIoT and Bratton Riley at Citibot. In their own words, “TensorIoT is an AWS Advanced Consulting Partner with competencies in IoT, Machine Learning, Industrial IoT and Retail. Founded by AWS alums, they have delivered end-to-end IoT
Read More Shared by AWS Machine Learning August 15, 2020
Favorite You can now use Amazon Textract, a machine learning (ML) service that quickly and easily extracts text and data from forms and tables in scanned documents, for workloads in the AWS Asia Pacific (Mumbai) and EU (Frankfurt) Regions. Amazon Textract goes beyond simple optical character recognition (OCR) to identify
Read More Shared by AWS Machine Learning August 13, 2020
Favorite This is a guest blog post by David A. Smith at Thermo Fisher. In their own words, “Thermo Fisher Scientific is the world leader in serving science. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences
Read More Shared by AWS Machine Learning August 13, 2020
Favorite Following strong customer demand, AWS has expanded the availability of Amazon EC2 Inf1 instances to five new Regions: US East (Ohio), Asia Pacific (Sydney, Tokyo), and Europe (Frankfurt, Ireland). Inf1 instances are powered by AWS Inferentia chips, which Amazon custom-designed to provide you with the lowest cost per inference
Read More Shared by AWS Machine Learning August 13, 2020
Favorite Getting relevant recommendations in front of your users at the right time is a crucial step for the success of your personalization strategy. However, your customer’s decision-making process shifts depending on the context at the time when they’re interacting with your recommendations. In this post, I show you how
Read More Shared by AWS Machine Learning August 12, 2020
Favorite Customers often need to identify single objects in images; for example, to identify their company’s logo, find a specific industrial or agricultural defect, or locate a specific event, like hurricanes, in satellite scans. In this post, we showcase how to train a custom model to detect a single object
Read More Shared by AWS Machine Learning August 12, 2020
Favorite Amazon SageMaker notebooks now support R out-of-the-box, without needing you to manually install R kernels on the instances. Also, the notebooks come pre-installed with the reticulate library, which offers an R interface for the Amazon SageMaker Python SDK and enables you to invoke Python modules from within an R
Read More Shared by AWS Machine Learning August 12, 2020