Machine Learning

Bringing Machine Learning (ML) to every developer and data scientist

At Amazon, we’ve been investing in artificial intelligence for over 20 years. Machine learning (ML) algorithms drive many of our internal systems. Our customers can acquire ML capabilities as fully managed services from AWS, and put them into the hands of every developer and data scientist. AWS Machine Learning Competency Partners provide solutions that help organizations solve their data challenges, automate ML and data science workflows, and offer SaaS-based solutions that have embedded machine intelligence.

The ML solutions showcased here are part of Solution Space, an AWS website that features solutions based on architectures validated by AWS. They include a combination of AWS services and APN Partner technologies, can be deployed quickly with solution accelerators like AWS Quick Starts, and feature complementary consulting offers to accelerate your ML adoption. These solutions feature exclusively APN Partners that have attained the AWS Machine Learning Competency.

Introduction to Amazon Machine Learning

Data Science Platform solutions

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A data science platform on the AWS cloud allows data scientists and business analysts to develop better products and deliver more impactful results to the business. Data science platforms simplify infrastructure management, accelerate projects, and make delivery to stakeholders simpler.

Discover value from these machine learning solutions by gaining access to AWS credits to support a Proof-of-Concept (POC) and consulting offers from AWS Competency Partners that include AWS co-investments. Click below to get started.

DataRobot Cloud on AWS

Become an AI-driven enterprise with automated machine learning.
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Machine Learning with Data Lake Foundation

Launch a data lake on AWS integrated with Amazon SageMaker to enable your machine learning goals.
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Domino Data Science Platform

Accelerate the development and delivery of data science models for teams of all sizes.
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Rapid Analytics and Machine Learning (RAMP) on AWS

Quickly discover value from your data with a Discovery as a Service (DaaS) consulting solution.
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Hyperparameter Optimization solutions

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Hyperparameter optimization is the process of improving the learning algorithm that powers your machine learning model by tuning constraints, weights, learning rates, and other hyperparameters. Hyperparameter optimization solutions on AWS allow you to dramatically improve the performance of your model and maximize its predictive accuracy.

Discover value from these machine learning solutions by gaining access to AWS credits to support a Proof-of-Concept (POC) and consulting offers from AWS Competency Partners that include AWS co-investments. Click below to get started.

SigOpt on AWS

Automate the tuning of your model's hyper, feature, and architecture parameters.
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Learn more about Machine Learning at AWS

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