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AI lecture covers history, symbolic vs. subsymbolic, and model evaluation

A lecture recap covers the history of AI, contrasting symbolic and subsymbolic approaches. It also touches on the mechanics of machine learning types and the evaluation of black-box models. Future lectures will delve into traditional machine learning technologies like k-Means, linear regression, and decision trees. AI

影响 Provides foundational knowledge on AI history and traditional ML methods for students and researchers.

排序理由 The item describes a lecture covering AI history and traditional ML techniques, fitting the research category.

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AI lecture covers history, symbolic vs. subsymbolic, and model evaluation

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  1. Mastodon — sigmoid.social TIER_1 English(EN) · lysander07 ·

    So, what did we learn in last week's lecture? (1) The bounty log (history of AI) (2) Symbolic vs subsymbolic (The two schools) (3) The mechanics of the chase (M

    So, what did we learn in last week's lecture? (1) The bounty log (history of AI) (2) Symbolic vs subsymbolic (The two schools) (3) The mechanics of the chase (ML types) (4) The black box evaluation Stay tuned for this weeks lecture on traditional ML technologies (k-Means, linear …