AWS Machine Learning Blog

Category: Artificial Intelligence

Access Amazon S3 data managed by AWS Glue Data Catalog from Amazon SageMaker notebooks

In this blog post, I’ll show you how to perform exploratory analysis on massive corporate data sets in Amazon SageMaker. From your Jupyter notebook running on Amazon SageMaker, you’ll identify and explore several corporate datasets in the corporate data lake that seem interesting to you. You’ll discover that each contains a subset of the information you need. You’ll join them to extract the interesting information, then continue analyzing and visualizing your data in your Amazon SageMaker notebook, in a seamless experience.

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Pixm takes on phishing attacks with deep learning using Apache MXNet on AWS

Despite numerous cybersecurity efforts, phishing attacks are still on the rise. Phishing is a form of fraud where perpetrators pretend to be reputable companies and attempt to get individuals to reveal personal information, such as passwords and credit card numbers. It’s the most common social tactic.  93 percent of all breaches today start with phishing […]

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Amazon Transcribe now supports multi-channel transcriptions

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to applications. We’re excited to announce the availability of a new feature called channel identification, which allows users to process multi-channel audio files and retrieve a single transcript annotated with respective channel labels.

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Create a translator chatbot using Amazon Translate and Amazon Lex

In this post, I create an intent in Amazon Lex for a translation action. This intent prompts the user for a source and target language, for example English to Spanish, followed by a text string to translate. Users are free to switch languages at any time during the interaction with Amazon Lex. The solution in the following illustration makes full use of Serverless Computing technologies to enable seamless scaling to thousands of users without the need for further engineering effort.

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New speed record set for training deep learning models on AWS

fast.ai, a research lab dedicated to making deep learning more accessible, has announced that they successfully trained the ResNet-50 deep learning model on a million images in 18 minutes using 16 Amazon EC2 P3.16xlarge instances. They accomplished this milestone by spending just $40. This new speed record illustrates how you can drastically cut down the training times for deep learning models, enabling you to bring your innovations to market faster and at a lower cost.

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Forecasting financial time series with dynamic deep learning on AWS

In this post, I will show you how to develop an original RNN (Recurrent Neural Network) deep learning algorithm to forecast time series based on the past trends of multiple factors, taking advantage of Amazon SageMaker (using Bring-Your-Own-Algorithm). Amazon SageMaker is a fully-managed machine learning platform that enables data scientists and developers to quickly and easily build and train machine learning models into production applications, at scale. It enables you to use both built-in algorithms, built-in frameworks, and also import custom code via Docker containers.

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Build a model to predict the impact of weather on urban air quality using Amazon SageMaker

Air pollution in cities can be an acute problem leading to damaging effects on people, animals, plants and property. It is an important topic which is getting increased attention as the human population of cities continues to increase. This year it was the subject the 2018 KDD Cup, the annual data mining and knowledge discovery […]

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TINT uses Amazon Comprehend to find and aggregate the best social media content for customers

TINT is a simple, DIY platform that helps brands find, curate, and display their most effective customer-generated content from social media on marketing channels such as websites, mobile apps, and event displays. Businesses can link their Twitter, YouTube, Pinterest, Instagram, Facebook, and RSS feeds to their TINT accounts The social media aggregator uses machine learning […]

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Aella Credit empowers underbanked individuals by using Amazon Rekognition for identity verification

Aella Credit is a financial services company based in West Africa that provides instant loans to individuals with a verifiable source of income in emerging markets by using biometric and employer data. For those in emerging markets, identity verification and validation is one of the major challenges for people who don’t have easy access to […]

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