Jon Wood – Frank's World of Data Science & AI

Machine Learning Microsoft
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14 sec read

An Interview with the ML.NET Team

Jon Wood interviews and asks questions to several people on the ML.NET team, including the future of ML.NET, its community, and some ways you can help out.

Developer Machine Learning
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28 sec read

Make ML.NET Predictions with Streaming Data in Azure Event Hub

Jon Wood show us how to use ML.NET in an Event Hub consumer to get real-time data predictions.

Related resources:

C# Consumer code – https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/EventHubPredict/Program.cs
Python notebook producer code – https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/Notebooks/ML.NET%20Event%20Hub%20Producer.ipynb

Making ML.NET Predictions Within the Microsoft Bot Framework

Jon Wood shows us how to use ML.NET within the Microsoft Bot Framework to make predictions on a machine learning model.

Code – https://github.com/jwood803/MLNetExamples/tree/master/MLNetExamples/PredictionBot

Azure Databricks
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8 sec read

How to Integrate Azure Databricks Notebooks with GitHub

Jon Wood shows us how to link your Azure Databricks Notebooks with a GitHub repository.

Data Microsoft
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24 sec read

Exploring the C# Dataframe API

Jon Wood shows us several things you can do with your data using the new DataFrame API in C#.

Notebook – https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/Notebooks/Intro%20to%20DataFrame.ipynb

DataFrame Playlist – https://www.youtube.com/playlist?list=PLl_upHIj19Zysihecv_btbwzRQD2qrbJM

AI Python
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25 sec read

Use ML.NET in Python to Create a Linear Regression Model with NimbusML

Jon Wood demonstrates how to use ML.NET within Python by using the NimbusML package. This video also gives an example of creating a linear regression model.