AWS Marketplace

Tag: Machine Learning

machine learning models java microservices

Integrating 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 […]

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Experimenting with GPT-2 XL machine learning model package on Amazon SageMaker

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. […]

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Deploying AWS Marketplace ML models

Using 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 […]

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MLOps Trifacta SageMaker 1

Simplifying MLOps and improving model accuracy with Trifacta and Amazon SageMaker (Part 1)

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 […]

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Using TorchServe to list PyTorch

Using 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 […]

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using machine learning to predict popularity of retail products

Using 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 […]

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AI for real time text classification

Building an Artificial Intelligence system for real-time text message classification and learning

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 […]

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AWS Marketplace sessions reInvent 2019

December 5: AWS Marketplace sessions today at re:Invent

Here are your AWS Marketplace sessions for December 5. Please double-check the AWS re:Invent event catalog to confirm the date, time, and venue for your session! You can also get demos and education from 11 sellers (rotating daily) in the AWS Partner Solutions Experience in the southwest corner of the Venetian expo hall. Follow AWS […]

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AWS Marketplace sessions reInvent 2019

December 3: AWS Marketplace sessions today at re:Invent

Please double-check the AWS re:Invent event catalog to confirm the date, time, and venue for your session! You can also get demos and education from 11 sellers (rotating daily) in the AWS Partner Solutions Experience in the southwest corner of the Venetian expo hall. You can follow AWS re:Invent on Twitter or the #reinvent hashtag […]

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sigopt rest API

Automating 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 […]

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