Introduction to 10 601 Machine Learning Fall 2017 Lecture 09
Let's dive into the details surrounding 10 601 Machine Learning Fall 2017 Lecture 09. Decision Trees, Occam's Razors
10 601 Machine Learning Fall 2017 Lecture 09 Comprehensive Overview
Perceptron - the algorithm and it's mistake bound; margin. Information Theory: Mutual Information and Covariate Selection Course Introduction; History of AI
Topics: shattered sets, Vapnik–Chervonenkis (VC) dimension
Summary & Highlights for 10 601 Machine Learning Fall 2017 Lecture 09
- Information Theory: Cross Entropy and Self Entropy
- Framework
- Neural Networks 2: Backpropagation
- Neural Networks 3 SGD, Network Topology
- The first 20 minutes of this video is missing for this video due to some technique issues. It is talking about some administration ...
That wraps up our extensive overview of 10 601 Machine Learning Fall 2017 Lecture 09.
