Category: Amazon Machine Learning

AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with […]

New deep-learning model architectures push what’s possible in the field of natural language processing (NLP). NLP is the study of methods of processing and analysis of human language data. In machine learning (ML), transfer learning takes model parameters learned on one task and uses them as a basis for another task with some additional fine-tuning. […]

This is the second article of a two-part series. Part 1 covered data preparation for machine learning (ML) by using Trifacta. Part 2 covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. Background ML provides value to business by offering accurate insights to guide business decisions. Gathering insights from ML should be […]

This is the first blog post of a two-part series. Part 1 covers data preparation for machine learning (ML) using Trifacta, available in AWS Marketplace. Part 2, Simplifying machine learning operations with Trifacta and Amazon SageMaker, covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. In the past decade, advancements in machine […]

By guest authors Anton Chudaev, DevOps Competence Manager at VITech, Yevheniia Minaieva, Product marketing lead at VITech Lab, and Dmitry Spodarets, Head of VITech Lab When managing Personal Protective Equipment (PPЕ) compliance, temporary absence of safety engineers and human fatigue can lead to unnoticed safety rule breaches. VITech Lab offers a solution to help healthcare […]

This post describes winning solutions from the AWS Marketplace Machine Learning Challenge hackathon. Other winners created solutions using machine learning to stay connected and to automate tasks and increase personalization. Introduction The AWS Marketplace Machine Learning (ML) team recently hosted a ML hackathon on The DevPost Platform, AWS Marketplace Developer Challenge: ML-Powered Solutions. A hackathon […]

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 […]

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 […]

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 […]