649: Introduction to Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
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Explaining Machine Learning Classifications and Evaluation Metrics
This chapter delves into the distinctions between supervised and unsupervised learning, delving into false positives, false negatives, model evaluation metrics like R-squared, and methods such as ELBO for clustering data. The hosts also share information on obtaining show notes, social media links, and gratitude towards sponsors.
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