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AWS - Machine Learning

  • Machine Learning
  • 1 Product
  • 3 Case Studies
Putting machine learning in the hands of every developer

May 21

Gain customer insights using Amazon Aurora machine learning

In recent years, AWS customers have been running machine learning (ML) on an increasing variety of datasets and data sources. Because a large percentage of organizational data is stored in relational databases such as Amazon Aurora, there’s a common need to make this relational data available for training ML models, and to use ML models […]

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Jun 03

Pioneering personalized user experiences at StockX with Amazon Personalize

This is a guest post by Sam Bean and Nic Roberts II at StockX. In their own words, “StockX is a Detroit startup company revolutionizing ecommerce with a unique Bid/Ask marketplace—our platform models the New York Stock Exchange and treats goods like sneakers and streetwear as high-value, tradable commodities. With a transparent market experience, StockX […]

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Jun 03

Multi-GPU distributed deep learning training at scale with Ubuntu18 DLAMI, EFA on P3dn instances, and Amazon FSx for Lustre

AWS Deep Learning AMI (Ubuntu 18.04) is optimized for deep learning on EC2 Accelerated Computing Instance types, allowing you to scale out to multiple nodes for distributed workloads more efficiently and easily. It has a prebuilt Elastic Fabric Adapter (EFA), Nvidia GPU stack, and many deep learning frameworks (TensorFlow, MXNet, PyTorch, Chainer, Keras) for distributed […]

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Jun 02

Introducing Amazon SageMaker Components for Kubeflow Pipelines

Today we’re announcing Amazon SageMaker Components for Kubeflow Pipelines. This post shows how to build your first Kubeflow pipeline with Amazon SageMaker components using the Kubeflow Pipelines SDK. Kubeflow is a popular open-source machine learning (ML) toolkit for Kubernetes users who want to build custom ML pipelines.  Kubeflow Pipelines is an add-on to Kubeflow that lets […]

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Products and Case Studies
AWS - Machine Learning - Amazon SageMaker

Machine learning for every developer and data scientist.

Case Study : Zocdoc Builds Patient Confidence Using Tensorflow

Zocdoc uses TensorFlow to match patients to doctors, reducing the wait time for appointments.

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Case Study : Formula 1 - Aws Fuels Analytics Through Machine Learning

Formula 1 Accelerates Cloud Transformation by Moving to AWS

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Case Study : Zendesk Enables Faster Customer Service Using Deep Learning

Speeding Development through Faster Deep-Learning Modeling

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Three Best Practices for Building a High-Performance Graph Database

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Fritz - Jun 03 - Blog Post:
Fritz AI Studio Now Supports Image Segmentation

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Dataiku - Jun 03 - Blog Post:
How AI Is Transforming R&D (for the Better)

The impact of AI on various business units throughout an organization doesn’t stop when it comes to the research and...

Databricks - Jun 03 - Blog Post:
Customer Lifetime Value Part 1: Estimating Customer Lifetimes

Learn why customer retention matters to customer lifetime value estimation and how Databricks can help you overcome common challenges in...

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