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jmhogansandpaper-main.yaml
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The following actions use a deprecated Node.js version and will be forced to run on node20: actions/checkout@v3, actions/[email protected]. For more info: https://github.blog/changelog/2024-03-07-github-actions-all-actions-will-run-on-node20-instead-of-node16-by-default/
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episodes/04-ml-1.md#L45
[missing file]: [Artificial Intelligence (AI) is the broader concept of machines being able to carry out tasks in a way that we would consider "smart". Machine Learning (ML) is a subset of AI that involves training algorithms to learn from and make predictions based on data.](../fig/ml-vs-ai.png) [image missing alt-text]: ../fig/ml-vs-ai.png
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episodes/04-ml-1.md#L74
[missing file]: [Supervised learning involves training a model on labeled data, where the input comes with corresponding output labels, allowing the model to learn the relationship between inputs and outputs. In contrast, unsupervised learning works with unlabeled data, identifying patterns and structures within the data without predefined labels, often used for clustering and association tasks.](../fig/s-vs-us.png) [image missing alt-text]: ../fig/s-vs-us.png
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episodes/04-ml-1.md#L95
[missing file]: [Confusion metrics, also known as a confusion matrix, is a table used to evaluate the performance of a classification model. It displays the true positives, true negatives, false positives, and false negatives, providing insight into the accuracy, precision, recall, and overall effectiveness of the model's predictions.](../fig/metrics.png) [image missing alt-text]: ../fig/metrics.png
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