F#
and
Azure Machine Learning
jj09.net
about me
swim
bike
run
F#
PC
fsi
fsc
VS(Code)
Machine Learning
Learning Techniques
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Supervised learning
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Unsupervised learning
Supervised learning
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Classification problems
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Regression problems
Machine Learning is hard
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whorepresents.com
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therapistfinder.com
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expertsexchange.com
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penisland.com
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speedofart.net
Stock Estimator
Linear Regression
Code
github.com/jj09/StockEstimator
Azure
Machine Learning
Stock Estimator
What next?
Deploy to Azure
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API: Docker + Fake = <3
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stockestimator.westus.cloudapp.azure.com
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UI: App Service
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stockestimator.azurewebsites.net
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using Azure Service Fabric? - bonus: gcloud
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stockestimator.appspot.com
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Add more algorithms
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Boosted Decision Tree Regression?
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Neural Network Regression?
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Decision Forest Regression?
misc
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beautiful UI
- chart.js?
- plotly.js?
- smoothie.js?
- three.js?
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real-time estimation
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perf optimizations
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1 request per estimated range
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cache data on server and client
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upgrade to ASP.NET Core 1.1and Aurelia 1.0
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Learn more
Websites
Pluralsight
People
Machine Learning
Azure Machine Learning
Stay in touch!
jj09.net
@JakubJedryszek
F# and Azure Machine Learning
By Jakub Jedryszek
F# and Azure Machine Learning
F# is not a replacement, but a great complement for C#. Currently F# is used in many financial applications. Let’s see how we can predict future stock prices with power of F#, C#, and Azure Machine Learning. In this session I will show you how to build F# Backend for estimating future stock prices with Azure Machine Learning, how to create Web API powered by F# with Suave Framework, and how to consume it from your ASP.NET Core App with Front-End powered by Aurelia and D3.js.
