CS-498 Applied Machine Learning: Announcements

Current

1. I have jury duty starting 30 April. I very much doubt they will use me, but there is an outside chance I will be forced to be absent 1 May. In this case, you should review the movies below. You should watch them in order, with chapter 16 of the newest version of the notes in hand.
   • Greedy Stagewise Regression
   • GradientBoost
   • GradientBoost with decision stumps
   • GradientBoost with regression trees
2. I am unwell, and won't be in class 17 April. Instead, please review the movies below. You should watch them in order, with chapters 13 and 14 of the newest version of the notes in hand. This is rather more than a lecture, and I'll pick up some points on Thursday.
   • Image classifiers and convolutional layers
   • Batch normalization and residual networks
   • TSNE - another way to map high dimensions to low dimensions
   • Autoencoders
   • Variational Autoencoders
   • Generative adversarial networks
3. I will be in China 23 April, so there won't be a formal lecture. Instead, please review the movies below. You should watch them in order, with chapter 15 of the newest version of the notes in hand. This is rather more than a lecture, and I'll pick up some points on Thursday.
   • Basic graphical models
   • Basic conditional random fields
   • Basic structure learning
   • More detailed structure learning
4. Homework 8 deadline has been extended due to autograder mischief. You can find the details on the Homework 8 page.
5. Homework 9 has finally been released in final form. You can find the details on the Homework 9 page.
6. The remission of sins homework has finally been released in final form. You can find the details on the remissions of sins homework page.

Old announcements

1. Some minor bureaucratic delays with graders have been slowing us, but appear to have been resolved. Sorry.
2. The draft homework for week 6 has changed; I found the dataset.
3. Course submission policy is here

4. I won't be in class 25 Jan (federal government wants me!). Instead, please review the four movies below

   • Support vector machine basics
   • Support vector machines and the hinge loss
   • Support vector machines and stochastic gradient descent
   • Support vector machines: Choosing the regularization constant