Understand drivers that influence your forecasts with explainability impact scores in Amazon Forecast

Favorite We’re excited to launch explainability impact scores in Amazon Forecast, which help you understand the factors that impact your forecasts for specific items and time durations of interest. Forecast is a managed service for developers that uses machine learning (ML) to generate more accurate demand forecasts, without requiring any

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Shared by AWS Machine Learning November 20, 2021

Your guide to AI and ML at AWS re:Invent 2021

Favorite It’s almost here! Only 9 days until AWS re:Invent 2021, and we’re very excited to share some highlights you might enjoy this year. The AI/ML team has been working hard to serve up some amazing content and this year, we have more session types for you to enjoy. Back

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Shared by AWS Machine Learning November 20, 2021

Run distributed hyperparameter and neural architecture tuning jobs with Syne Tune

Favorite Today we announce the general availability of Syne Tune, an open-source Python library for large-scale distributed hyperparameter and neural architecture optimization. It provides implementations of several state-of-the-art global optimizers, such as Bayesian optimization, Hyperband, and population-based training. Additionally, it supports constrained and multi-objective optimization, and allows you to bring

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Shared by AWS Machine Learning November 20, 2021

Chain custom Amazon SageMaker Ground Truth jobs for image processing

Favorite Amazon SageMaker Ground Truth supports many different types of labeling jobs, including several image-based labeling workflows like image-level labels, bounding box-specific labels, or pixel-level labeling. For situations not covered by these standard approaches, Ground Truth also supports custom image-based labeling, which allows you to create a labeling workflow with

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Shared by AWS Machine Learning November 19, 2021

A decade in deep learning, and what's next

Favorite Twenty years ago, Google started using machine learning, and 10 years ago, it helped spur rapid progress in AI using deep learning. Jeff Dean and Marian Croak of Google Research take a look at how we’ve innovated on these techniques and applied them in helpful ways, and look ahead

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Shared by Google AI Technology November 18, 2021

Accelerate data preparation using Amazon SageMaker Data Wrangler for diabetic patient readmission prediction

Favorite Patient readmission to hospital after prior visits for the same disease results in an additional burden on healthcare providers, the health system, and patients. Machine learning (ML) models, if built and trained properly, can help understand reasons for readmission, and predict readmission accurately. ML could allow providers to create

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Shared by AWS Machine Learning November 18, 2021