AWS Marketplace
Tag: Amazon Sagemaker
Using Shutterstock’s image datasets to train your computer vision models
Image classification and object detection technology allows you to build scalable artificial intelligence models for business cases like visual search, product recommendations, autonomous vehicle object recognition, content moderation, and more. Today, services like Amazon Rekognition offer APIs to perform image analysis and object recognition. However, if your use case requires a more custom image classification […]
Read MoreImproving personalized ranking in recommender systems with Implicit BPR and Amazon SageMaker
A recommender system is an automated software mechanism that uses algorithms and data to personalize product discovery for a particular user. Its essential task is to help users discover the most relevant items within an often-unmanageable set of choices. These days, recommender systems are employed in diverse domains to promote products on e-commerce sites, such […]
Read MoreIntegrating machine learning models into your Java-based microservices
Machine learning (ML) enables you to deliver more value to your customers by using your data to automate decisions and transform your business. Pre-trained ML models can speed outcomes for real-time object and person detection, optical character recognition, and other use cases. By performing inferences on an ML model in the application’s workflow, you can […]
Read MoreMonitoring data quality in third-party models with Amazon SageMaker Model Monitor
Building, training, and deploying machine learning models from scratch can be a time-consuming and costly endeavor for some customers. Moreover, once deployed to production, machine learning models need to be continuously monitored for deviations in model and data quality. To help you expedite model deployment and implement a model monitoring solution, you can integrate pre-trained […]
Read MoreUsing Amazon Augmented AI with AWS Marketplace machine learning models
Pre-trained machine learning (ML) models available in AWS Marketplace take care of the heavy lifting, helping you deliver Artificial Intelligence (AI)- and ML-powered features faster and at a lower cost. However, just like all ML models, sometimes ML model predictions are just not confident enough. You want a pair of human eyes to confirm the […]
Read MoreUsing TorchServe to list PyTorch models at scale in AWS Marketplace
Recently, AWS announced the release of TorchServe, a PyTorch open-source project in collaboration with Facebook. PyTorch is an open-source machine learning framework created by Facebook, which is popular among ML researchers and data scientists. Despite its ease of use and “Pythonic” interface, deploying and managing models in production is still difficult as it requires data scientists to […]
Read MoreHow to automate Personal Protective Equipment monitoring for healthcare and life science workplaces
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 […]
Read MoreUsing Amazon SageMaker, AWS Marketplace, and AWS Data Exchange to predict retail product popularity
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 […]
Read MoreAutomating model tuning and hyperparameter optimization with SigOpt
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 […]
Read MoreUsing AWS Marketplace for machine learning workloads
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 […]
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