AWS - Machine Learning

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

May 19

AWS Machine Learning Scholarship Program from Udacity is now open for enrollment

Developers, to help you advance your AI and machine learning (ML) skills with hands-on and engaging learning, the AWS Machine Learning Scholarship Program from Udacity is now open for enrollment. AWS and Udacity are collaborating to educate developers of all skill levels to expand their AWS ML expertise. In this scholarship program, all eligible students […]

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May 29

Designing human review workflows with Amazon Translate and Amazon Augmented AI

The world is becoming smaller as many businesses and organizations expand globally. As businesses expand their reach to wider audiences across different linguistic groups, their need for interoperability with multiple languages increases exponentially. Most of the industry work is manual, slow, and expensive human effort, with many industry verticals struggling to find a scalable, reliable, […]

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May 28

Implementing hyperparameter optimization with Optuna on Amazon SageMaker

Preferred Networks (PFN) released the first major version of their open-source hyperparameter optimization (HPO) framework Optuna in January 2020, which has an eager API. This post introduces a method for HPO using Optuna and its reference architecture in Amazon SageMaker. Amazon SageMaker supports various frameworks and interfaces such as TensorFlow, Apache MXNet, PyTorch, scikit-learn, Horovod, Keras, […]

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May 27

Train ALBERT for natural language processing with TensorFlow on Amazon SageMaker

At re:Invent 2019, AWS shared the fastest training times on the cloud for two popular machine learning (ML) models: BERT (natural language processing) and Mask-RCNN (object detection). To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by improving the underlying infrastructure, network, and ML framework. Today, we’re open-sourcing the optimized training code for […]

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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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Spiro Technologies - May 29 - Blog Post:
Spiro Features Tour: Contacts Overview

Within a contact record in Spiro, users can quickly and easily view relevant details, engage with the prospect over call,...

Dataiku - May 29 - Blog Post:
AI Projects Lifecycle: Key Steps and Considerations

In order to implement and scale successful AI projects, enterprises need to adopt a comprehensive approach to covering each step...

Haptik - May 29 - Blog Post:
WhatsApp Enterprise: How to Get Started in 5 Steps

WhatsApp is the perfect customer engagement tool. Here's a step-by-step guide to setting up a WhatsApp Enterprise account for your...

Fritz - May 29 - Blog Post:
Building an on-device face mask detector with Fritz AI Studio

The novel COVID-19 virus has forced us all to rethink how we live our everyday lives while keeping ourselves and...

Fritz - May 29 - Blog Post:
10 Tips to Speed Up Android Gradle Build Times

Slow build speed is a huge momentum buster. It’s kind of like driving down the road and constantly hitting speed...

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