Coder Social home page Coder Social logo

robinaggarwal / mcw-cognitive-services-and-deep-learning Goto Github PK

View Code? Open in Web Editor NEW

This project forked from microsoft/mcw-analyzing-text-with-azure-machine-learning-and-cognitive-services

0.0 0.0 0.0 25.66 MB

MCW Cognitive services and deep learning

License: MIT License

Jupyter Notebook 100.00%

mcw-cognitive-services-and-deep-learning's Introduction

Cognitive services and deep learning

In this workshop, you will help Contoso Ltd. build a proof of concept that shows how they can build a solution that amplifies the claims processing capabilities of their agents.

They would like to start by automatically classifying each claim detail a customer types in as either home or auto based on the text. This classification would be displayed in the claim summary, so an agent can quickly assess whether they are dealing with purely a home claim, an auto claim or a claim that has a mixture of the two.

They would also like to experiment applying sentiment analysis to the claim text. They know most customers are either factual in their description (a neutral sentiment) or slightly unhappy (a more negative sentiment), but believe that a negative sentiment can be an indicator to claim text that involves a more severe situation, which might warrant an expedited review by an agent.

Next, they would like to automatically summarize long claim text. This summarization would enable the agent to get the gist before having to read the full claim and can quickly remind themselves of the claim when revisiting it.

Finally, they would like to automatically extract information from the photos submitted with the claims to increase their searchability.

December 2019

Target audience

Abstracts

Workshop

In this workshop, you will learn to combine both pre-built artificial intelligence (AI) in the form of various Cognitive Services, with custom AI in the form of services built and deployed with Azure Machine Learning service. You will learn to create intelligent solutions atop unstructured text data by designing and implementing a text analytics pipeline. You will also learn how to build a binary classifier using a recurrent neural network that can be used to classify the textual data. Also, you will learn how to deploy multiple kinds of predictive services using Azure Machine Learning and learn to integrate with the Computer Vision API and the Text Analytics API from Cognitive Services.

At the end of this workshop, you will be better able to present solutions leveraging Azure Machine Learning service, Azure Notebooks and Cognitive Services.

Whiteboard design session

In this whiteboard design session, you will work with a group to design a solution which combines both pre-built artificial intelligence (AI) in the form of various Cognitive Services, with custom AI in the form of services built and deployed with Azure Machine Learning services. You will learn to create intelligent solutions atop unstructured text data by designing and implementing a text analytics pipeline. You will discover how to build a binary classifier using a recurrent neural network that can be used to classify the textual data, as well as how to deploy multiple kinds of predictive services using Azure Machine Learning and learn to integrate with the Computer Vision API and the Text Analytics API from Cognitive Services.

At the end of this whiteboard design session, you will be better able to design solutions leveraging Azure Machine Learning services and Cognitive Services.

Hands-on lab

In this hands-on lab, you will implement a solution which combines both pre-built artificial intelligence (AI) in the form of various Cognitive Services, with custom AI in the form of services built and deployed with Azure Machine Learning services. You will learn to create intelligent solutions atop unstructured text data by designing and implementing a text analytics pipeline. You will discover how to build a binary classifier using a recurrent neural network that can be used to classify the textual data, as well as how to deploy multiple kinds of predictive services using Azure Machine Learning and learn to integrate with the Computer Vision API and the Text Analytics API from Cognitive Services.

At the end of this hands-on lab, you will be better able to present solutions leveraging Azure Machine Learning service, Azure Notebooks and Cognitive Services.

Azure services and related products

  • Azure Machine Learning service
  • Azure Notebooks
  • Cognitive Services
  • Computer Vision API
  • Text Analytics API
  • TensorFlow
  • Keras
  • ONNX

Azure solutions

Machine Learning

Related references

Help & Support

We welcome feedback and comments from Microsoft SMEs & learning partners who deliver MCWs.

Having trouble?

  • First, verify you have followed all written lab instructions (including the Before the Hands-on lab document).
  • Next, submit an issue with a detailed description of the problem.
  • Do not submit pull requests. Our content authors will make all changes and submit pull requests for approval.

If you are planning to present a workshop, review and test the materials early! We recommend at least two weeks prior.

Please allow 5 - 10 business days for review and resolution of issues

mcw-cognitive-services-and-deep-learning's People

Contributors

amalgireesh avatar dawnmariedesjardins avatar dem108 avatar dzaremba90 avatar emilysaeli avatar hopero929 avatar joelhulen avatar kylebunting avatar microsoftopensource avatar msftgits avatar mwasham avatar shirolkar avatar timahenning avatar waltermyersiii avatar zoinertejada avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.