machine learning

This note last modified September 1, 2024

Problems ML can solve

classification: choose from a finite set

regression: choose from an interval

preference learning: learning relative relation between ordinal values.


ML tools

online learning

simplistic models are better

image labeling

Backlinks

  • reinforcement learning
    • a form of machine learning that focuses on receiving feedback from the environment and updating its policy (set of actions to maximize reward)

  • Intervention_Strategies_For_Engagement-Segal_Gal
    • Used machine learning to identify which people were likely to disengage. They want to put engaging messages at the right time.

  • Ai And Games Textbook-Yannakakis
    • machine learning

  • AI
    • AI is split into symbolic AI, which uses rules to figure out how to act, and machine learning, which acts on data. Supervised machine learning tries to mimic data it is given (if it’s given images labeled “dog” and “cat”, it will try to learn the patterns and classify future images into “dog” or “cat”). Unsupervised machine learning draws patterns and points out interesting things in data it is given.

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