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

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

Machine learning inference at scale using AWS serverless

Favorite With the growing adoption of Machine Learning (ML) across industries, there is an increasing demand for faster and easier ways to run ML inference at scale. ML use cases, such as manufacturing defect detection, demand forecasting, fraud surveillance, and many others, involve tens or thousands of datasets, including images,

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Shared by AWS Machine Learning November 17, 2021

Postprocessing with Amazon Textract: Multi-page table handling

Favorite Amazon Textract is a machine learning (ML) service that automatically extracts printed text, handwriting, and other data from scanned documents that goes beyond simple optical character recognition (OCR) to identify and extract data from forms and tables. Currently, thousands of customers are using Amazon Textract to process different types

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Shared by AWS Machine Learning November 17, 2021

Announcing conversational AI partner solutions

Favorite We are excited to announce the availability of AWS conversational AI partner solutions, which enables enterprises to implement high-quality, highly effective chatbot, virtual assistant, and Interactive Voice Response (IVR) solutions through the domain expertise of AWS Partners and AWS AI and machine learning (ML) services. The partners highlighted in

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Shared by AWS Machine Learning November 16, 2021