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4min chapter
649: Introduction to Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
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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