Category: Amazon SageMaker

This post describes winning solutions from the AWS Marketplace Machine Learning Challenge hackathon. Other winners created solutions using machine learning to automate tasks and increase personalization and to support healthcare during a pandemic. The AWS Marketplace Developer Challenge: ML-Powered Solutions hackathon was hosted by the AWS Marketplace Machine Learning (ML) team earlier this year. A […]

For many of my customers, use of machine learning and advanced analytics is a competitive differentiator. To do machine learning (ML) and analytics at scale, you need access to high-quality data sets. While some data is available in house, data scientists often need high-quality, third-party data in addition to the data they have available for […]

by guest author Ievgen Sliusar, Assistant Professor, Ph.D. In this blog post, I  demonstrate how to build an Artificial Intelligence (AI) system for real-time text message classification and learning using Dynamic AI56. This model package is available in AWS Marketplace. With conventional machine learning (ML), you first train your model and then deploy it to […]

By guest author Nick Payton, Head of Marketing and Partnerships, SigOpt The quality of predictions from machine learning (ML) models depends on a few factors. These factors include a high volume of well-prepared data, a robust feature set with the appropriate architecture, and the configuration of hyperparameters. Hyperparameters are numeric values with high and low […]

Organizations of all sizes are realizing that Machine Learning is more than a nice-to-have capability. It’s becoming a necessary differentiator that has the potential to impact almost every aspect of the business. From back-office optimizations to business forecasting and risk reduction, ML is critical for companies looking to innovate and remain relevant. One way for […]

This is a guest post by Dale Brown, VP of Business Development, Figure Eight Before you can build a successful machine learning (ML) algorithm that works in the real world, you must ensure that your data is appropriately annotated by human annotators. Creating accurate training data helps ensure better accuracy when you launch your ML […]

by Nhat (Jeff) Hoang, VP of Product Design, GTRIIP and John-Michael Floyd, Business Development Manager, AWS Marketplace AWS Marketplace for Machine Learning makes it easy for AWS customers to automate business decisions with hundreds of curated, performance-optimized machine learning algorithms and model packages. You can discover machine learning solutions from over 50 categories serving industries […]