Showing results for Machine Learning - ISE Developer Blog

May 7, 2018
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Making sense of Handwritten Sections in Scanned Documents using the Azure ML Package for Computer Vision and Azure Cognitive Services

Tingting Zhao
Tingting Zhao

Extracting general concepts, rather than specific phrases, from documents and contracts is challenging. It's even more complicated when applied to scanned documents containing handwritten annotations. We describe using object detection and OCR with Azure ML Package for Computer Vision and Cognitive Services API.

Machine LearningCognitive Services
Mar 6, 2018
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Sequence Intent Classification Using Hierarchical Attention Networks

Olga Liakhovich
Olga Liakhovich

We analyze how Hierarchical Attention Neural Networks could be helpful with malware detection and classification scenarios, demonstrating the usefulness of this approach for generic sequence intent analysis. The novelty of our approach is in applying techniques that are used to discover structure in a narrative text to data that describes the beha...

Machine Learning
Dec 4, 2017
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Stock Market Predictions with Natural Language Deep Learning

Patty Ryan
Patty Ryan

We developed a deep learning model using a one-dimensional convolutional neural network to predict future stock market performance of companies using Azure Machine Learning Workbench and Keras.

Machine Learning
Nov 21, 2017
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Autoscaling Deep Learning Training with Kubernetes

Rita Zhang
Rita Zhang

We explore how we worked with a customer to add autoscaling capability to a Kubernetes cluster to meet bursty demands for deep learning training in a cost-efficient manner.

Machine LearningContainers
Nov 20, 2017
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Permissively-Licensed Named Entity Recognition on the JVM

Clemens Wolff
Clemens Wolff

The ability to correctly identify entities, such as places, people, and organizations, adds a powerful level of natural language understanding to applications. This post introduces a MIT-licensed one-click deployment to Azure for web services that lets developers get started with a wide range of natural language tasks in 5 minutes or less, by consu...

Machine LearningAzure App Services
Nov 1, 2017
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Building a Custom Spark Connector for Near Real-Time Speech-to-Text Transcription

Clemens Wolff
Clemens Wolff

This post describes in detail the Azure Cognitive Services speech-to-text WebSocket protocol and shows how to implement the protocol in Java. This enables us to transcribe audio to text in near real-time. We then show how to feed the transcribed radio into a pipeline based on Spark Streaming for further analysis, augmentation, and aggregation. The ...

Machine LearningCognitive Services