Machine learning and data science tools

Machine learning (ML) and data science tools leverage machine learning algorithms to scale data science workflows.

Artificial intelligence and machine learning process and analyze data quickly and accurately. These technologies are a key part of unlocking the value of company and customer data enabling better, faster decisions. However, due to complexity, it could take months to build and deploy machine learning models.

Machine learning and data science tools make data science teams more productive using platforms that unify data preparation, machine learning, and model deployment. Automated platforms allow you to scale your team’s abilities and resources by delivering advanced functionality for data visualization, feature engineering, model interpretability, and low-latency deployment.

ML and data science tools

Solutions

H2O.ai

H2O Driverless AI is an artificial intelligence (AI) platform for automatic machine learning that automates some of the most difficult data science and machine learning workflows, such as feature engineering, model validation, model tuning, model selection, and model deployment. H2O Driverless AI is powered by the compute capabilities of Amazon Elastic Compute Cloud (Amazon EC2) and designed to work with Amazon Simple Storage Service (Amazon S3).

H2O Driverless AI helps companies scale machine learning through:

Automatic feature engineering: H2O Driverless AI employs a library of algorithms and feature transformations to automatically engineer new, high-value features for a given dataset.

Machine learning interpretability (MLI): In the MLI view H2O Driverless AI interprets and explains the results of its models, including automatically generating charts like K-LIME, Shapley, Variable Importance, and Decision Tree.

Automatic scoring pipelines: H2O Driverless AI automatically generates both Python scoring pipelines and new, ultra-low-latency automatic scoring pipelines.

Automatic visualization: H2O Driverless AI automatically generates visualizations and creates data plots that are most relevant from a statistical perspective.

Here’s how H2O Driverless AI works to scale data science workflows:

H2O Driverless AI
G5 Inc

G5 Inc uses H2O Driverless AI to improve sales conversions

Real estate marketing company G5 Inc found that only 14 percent of its call leads were productive. G5 looked to ML to address this inefficiency but realized the realities of implementation could be time consuming, expensive, and a barrier to innovation.

Using H2O Driverless AI with AWS, G5 can now derive an accurate, relevant feature table from its datasets. Based on this matrix, G5 can engineer a feature set where data scientists can build, test, tune, and deploy machine learning models. Results can then be scored to identify high-quality leads and improve sales conversions.

Martin Stein's quote
At G5, we are leveraging AI to guide the decision-making process in real estate marketing with the help of our Intelligent Marketing Cloud platform, which continuously improves its accuracy and predictive qualities to maximize marketing effectiveness and efficiency.
- Martin Stein, Chief Product Officer, G5
AWS Marketplace

AWS Marketplace is a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS.

Computer vision

Computer vision allows machines to identify people, places, and things in images.


Data preparation

Select and transform data so you can feed your machine learning algorithms.


Natural language

Compare texts against each other for similarity or for efficient categorization.


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Have questions? Have tips?

We're here to help you get started with AWS Marketplace. Ask for or give advice on the AWS Marketplace discussion forum.