AWS Machine Learning Blog

Category: Artificial Intelligence

Amazon SageMaker DeepAR now supports missing values, categorical and time series features, and generalized frequencies

Today we are launching several new features for DeepAR in Amazon SageMaker. DeepAR is a supervised machine learning algorithm for time series prediction, or forecasting, that uses recurrent neural networks (RNNs) to produce probabilistic forecasts. Since its launch, the algorithm has been used for a variety of use cases. We are excited to give developers access to new […]

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Amazon SageMaker supports kNN classification and regression

We’re excited to announce that starting today Amazon SageMaker supports a built-in k-Nearest-Neighbor (kNN) algorithm for solving classification and regression problems. kNN is a simple, interpretable, and surprisingly strong model for multi-class classification, ranking, and regression. Introduction to kNN The idea behind kNN is that similar data points should have the same class, at least […]

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Amazon Transcribe now lets you designate your own Amazon S3 buckets to store transcription outputs  

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add a speech-to-text capability to your applications. You can use Amazon Transcribe to create text transcripts of audio and video files. Starting today, you can designate your own S3 buckets to store transcription outputs rather than S3 buckets maintained […]

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Discover Financial Services applies machine learning through a Robocar event powered by Amazon SageMaker

The Discover Financial Services (DFS) team members who attended AWS re:Invent agreed that the Robocar Rally was an extremely impactful experience. By participating in this hackathon, six members of Discover’s core team received hands-on experience using machine learning (ML) and deep learning on AWS. They had a blast and created lasting memories! Discover’s Cloud Center […]

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Secure prediction calls in Amazon SageMaker with AWS PrivateLink

Amazon SageMaker now supports Amazon Virtual Private Cloud (VPC) Endpoints via AWS PrivateLink so you can initiate prediction calls to your machine learning models hosted on Amazon SageMaker inside your VPC, without going over the internet. Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning […]

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Running Principal Component Analysis in Amazon SageMaker

Principal Component Analysis (PCA) is a very popular technique used by data scientists primarily for dimensionality reduction in numerous applications ranging from stock market prediction to medical image classification. Other uses of PCA include de-noising and feature extraction. PCA is also used as an exploratory data analysis tool. To better understand PCA let’s consider an […]

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Building a scalable and adaptable video processing pipeline with Amazon Rekognition Video

This is a guest post by Joe Monti, Sr. Software Engineer at VidMob. Vidmob is, in their own words, “the world’s leading video creation platform, with innovative technology solutions that enable a network of highly trained creators to develop marketing communications that are insight-driven, personalized, and scalable. VidMob creators are trained to produce the full […]

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Are you ready for a new challenge? You have an opportunity to make a difference! Announcing the AWS DeepLens Challenge

Technology like machine learning (ML) has the potential to profoundly impact the world, and we believe, benefit society in materially beneficial ways. It’s one of the reasons why AWS is committed to putting machine learning into the hands of every developer and data scientist. And now, with the AWS DeepLens deep learning-enabled video camera, developers […]

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Monitor Amazon Transcribe applications with AWS CloudTrail and Amazon CloudWatch Events

Monitoring your AWS resources is critical for security, performance, compliance, and cost control purposes. Therefore, our customers always ask for features to enable monitoring. Today, we are pleased to announce that Amazon Transcribe is integrated with AWS CloudTrail and Amazon CloudWatch Events to give you more visibility and control of your Amazon Transcribe resources. Let’s […]

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Amazon Comprehend now supports asynchronous processing along with larger document sizes

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text.  Starting today, you have the option to analyze a collection of documents stored in an Amazon S3 bucket using our new asynchronous job service. This is in addition to single and multiple document synchronous calls […]

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