ML.NET

Computer Vision

Building an Object Detection Model with the ML.NET Model Builder

In this video, Jon Wood shows us how to use the VoTT (Visual Object Tagging Tool) to generate data and use it in Model Builder to get an object detection model.

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Deep Learning Microsoft

Deep Learning Plans in ML.NET

In this video, Jon Wood outlines and explains the plans for ML.NET.

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Data Driven

Jonathan Wood on F#, ML.NET, and Functional Programming

In this episode which was recorded via livestream, Frank speaks with Jon Wood to chat about f sharp, ML dot net, and functional programming.To participate in the live Q&A, make sure you follow Data Driven on the appropriate social media channels. Press the play button below to listen here or visit the show page at […]

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Machine Learning

ML.NET June 2021 Update

Jon Wood highlights the latest updates to ML.NET.

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Machine Learning

Jon Wood Announces New ML.NET Course

As I mentioned on a recent livestream, Jon Wood has a new ML.NET course on LinkedIn Learning!

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Natural Language Processing TensorFlow

Use ML.NET to Score a Tensorflow Text Classification Model

Jon Wood recently streamed how to go over how to use a pre-trained TensorFlow model to predict sentiment within ML.NET.

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Machine Learning

How to Build the ML.NET Repository

Jon Wood shows us how you can fork the ML.NET code and get it to build successfully so you can eventually contribute to it.

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Machine Learning Microsoft

Easily Infer Column Schema in ML.NET with the AutoML API

Jon Wood shows us how to automatically infer your column schema in ML.NET with the AutoML API. Code – https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/InferColumns/Program.cs

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