'Classes spam ham' presentation slideshows

CSE 473: Artificial Intelligence Autumn 2010

CSE 473: Artificial Intelligence Autumn 2010. Machine Learning: Naive Bayes and Perceptron Luke Zettlemoyer. Many slides over the course adapted from Dan Klein. 1. Exam Topics. Reinforcement Learning Exploration vs Exploitation Model-based vs. model-free TD learning and Q-learning

575 views • 56 slides

CS 188: Artificial Intelligence Spring 2007

325 views • 32 slides

Machine Learning

Machine Learning. Up until now: how to reason in a model and how to make optimal decisions Machine learning: how to acquire a model on the basis of data / experience Learning parameters (e.g. probabilities) Learning structure (e.g. BN graphs) Learning hidden concepts (e.g. clustering).

260 views • 25 slides