AWS Machine Learning Blog

Schematically, this process looks like the following diagram.

Solving numerical optimization problems like scheduling, routing, and allocation with Amazon SageMaker Processing

July 2023: This post was reviewed for accuracy. In this post, we discuss solving numerical optimization problems using the very flexible Amazon SageMaker Processing API. Optimization is the process of finding the minimum (or maximum) of a function that depends on some inputs, called design variables. This pattern is relevant to solving business-critical problems such […]

Try asking OSU-OKC bot, OKC Pete, some questions of your own via the university website.

Building an omnichannel Q&A chatbot with Amazon Connect, Amazon Lex, Amazon Kendra, and the open-source QnABot project

For many students, embarking on a higher education journey is an exciting time filled with new experiences. However, like anything new, it also can also bring plenty of questions to answer and obstacles to overcome. Oklahoma State University, Oklahoma City (OSU-OKC) recognized this, and was intent on providing a better solution to address student questions […]

Data processing options for AI/ML

This blog post was reviewed and updated June, 2022 to include new features that have been added to the Data processing such as Amazon SageMaker Studio and EMR integration. Training an accurate machine learning (ML) model requires many different steps, but none are potentially more important than data processing. Examples of processing steps include converting […]

The following diagram illustrates this architecture.

Translating JSON documents using Amazon Translate

September 2021: This post and the solution has been updated to use the Amazon EventBridge events notifications in Amazon Translate for tracking Amazon Translate Batch Translation job completion. JavaScript Object Notation (JSON) is a schema-less, lightweight format for storing and transporting data. It’s a text-based, self-describing representation of structured data that is based on key-value […]

Using container images to run PyTorch models in AWS Lambda

PyTorch is an open-source machine learning (ML) library widely used to develop neural networks and ML models. Those models are usually trained on multiple GPU instances to speed up training, resulting in expensive training time and model sizes up to a few gigabytes. After they’re trained, these models are deployed in production to produce inferences. […]

The following diagram is the architecture for the secure environment developed in this workshop.

Building secure machine learning environments with Amazon SageMaker

As businesses and IT leaders look to accelerate the adoption of machine learning (ML) and artificial intelligence (AI), there is a growing need to understand how to build secure and compliant ML environments that meet enterprise requirements. One major challenge you may face is integrating ML workflows into existing IT and business work streams. A […]

Running multiple HPO jobs in parallel on Amazon SageMaker

The ability to rapidly iterate and train machine learning (ML) models is key to deriving business value from ML workloads. Because ML models often have many tunable parameters (known as hyperparameters) that can influence the model’s ability to effectively learn, data scientists often use a technique known as hyperparameter optimization (HPO) to achieve the best-performing […]

Accelerating the deployment of PPE detection solution to comply with safety guidelines

Personal protective equipment (PPE) such as face covers (face mask), hand covers (gloves), and head covers (helmet) are essential for many businesses. For example, helmets are required at construction sites for employee safety, and gloves and face masks are required in the restaurant industry for hygienic operations. In the current COVID-19 pandemic environment, PPE compliance […]

This dataset contains 500 images of bees that have been uploaded by iNaturalist users for the purposes of recording the observation and identification.

Training and deploying models using TensorFlow 2 with the Object Detection API on Amazon SageMaker

With the rapid growth of object detection techniques, several frameworks with packaged pre-trained models have been developed to provide users easy access to transfer learning. For example, GluonCV, Detectron2, and the TensorFlow Object Detection API are three popular computer vision frameworks with pre-trained models. In this post, we use Amazon SageMaker to build, train, and […]

Greg Baker at his work station.

Learn from the winner of the AWS DeepComposer Chartbusters Track or Treat challenge

AWS is excited to announce the winner of the AWS DeepComposer Chartbusters Track or Treat challenge, Greg Baker. AWS DeepComposer gives developers a creative way to get started with machine learning (ML). In June 2020, we launched Chartbusters, a global competition in which developers use AWS DeepComposer to create original AI-generated compositions and compete to […]