'Correct classifications' diaporamas de présentation

Educational Data Mining

1.32k views • 107 slides

Prediction (Classification, Regression)

Prediction (Classification, Regression). Ryan Shaun Joazeiro de Baker. Prediction. Pretty much what it says A student is using a tutor right now. Is he gaming the system or not?

1.05k views • 87 slides

MACHINE LEARNING

MACHINE LEARNING. What is learning?. A computer program learns if it improves its performance at some task through experience (T. Mitchell, 1997) Any change in a system that allows it to perform better (Simon 1983). What do we learn :. Descriptions

520 views • 37 slides

Exercises

359 views • 28 slides

Instance Based Learning

Instance Based Learning. Nearest Neighbor. Remember all your data When someone asks a question Find the nearest old data point Return the answer associated with it In order to say what point is nearest, we have to define what we mean by "near".

325 views • 25 slides

Evaluating Classifiers

409 views • 21 slides

Evaluating Hypotheses Reading: Coursepack : Learning From Examples, Section 4 (pp. 16-21)

239 views • 17 slides

Week 4 Presentation

Week 4 Presentation. Sahil Shah. Learn about HMM. Read papers about how Hidden Markov Models work and their application to computer vision. Format Event Annotations. Given annotations for 3 classes (board trick, flash mob, making a sandwich)

178 views • 9 slides