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    3. Automated ML.NET Training, Metrics, and Accuracy

    Automated ML.NET Training, Metrics, and Accuracy

    Posted By: lucky_aut
    Date: 30 Apr 2024 17:29:57
    Automated ML.NET Training, Metrics, and Accuracy

    Automated ML.NET Training, Metrics, and Accuracy
    Released: 4/30/2024
    Duration: 35m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 406 MB
    Genre: eLearning | Language: English


    Knowing how to use Microsoft ML.NET is one of the most in-demand skills in today’s job market. If you’re looking to boost your know-how with machine learning, ML.NET is a must-have in your toolbox. In this course, senior software engineer and Microsoft MVP Sam Nasr provides a comprehensive overview of some of the advanced features of ML.NET, including how to use the command line interface, gather metrics, and evaluate and improve model accuracy and performance. Get started with an introduction to automated machine learning (AutoML) before learning how to automate model training with the ML.NET command-line interface. Along the way, Sam shows you how to evaluate an ML.NET model with metrics and improve model accuracy with cross-validation, hyperparameter tuning, pipeline value inspection, and more.

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