Machine Learning 06: PAC Theory
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Computational Learning Theory
What general laws constrai......
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Computational Learning Theory
What general laws constrai......
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Graphical Models
Key Ideas:
Conditional Independence as......
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Why not Logistic Regression?
We like logistic regressio......
Course Notes of Professor Tom Mitchell Machine Learning @ CMU
Naïve Bayes with Continuous X
In order to train a Naive Bayes classi......
Course Notes of Professor Tom Mitchell Machine Learning @ CMU
Probablistic learning
Probablistic function approximation:
inste......
Course Notes of Professor Tom Mitchell Machine Learning @ CMU
Machine Learning is the study of algorithms that:
Improve their p......
Here are my notes after attending the conference.
Part of the presentation slides here.
The Analytics Of Things
Bill Franks, Chief Analytics Officer, International......