schedule
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
|
schedule [2015/10/05 15:31] asa |
schedule [2016/08/22 13:52] asa |
||
|---|---|---|---|
| Line 8: | Line 8: | ||
| |< 100% 18% 40% 19% 13% >| | |< 100% 18% 40% 19% 13% >| | ||
| | ^ Topics ^ Reading ^ Assignments ^ | | ^ Topics ^ Reading ^ Assignments ^ | ||
| - | ^ Week 1: August 25,27 | | | | | + | ^ Week 1: August 23,25 | | | | |
| | Tuesday | Course introduction ({{wiki:01_intro.pdf | slides}}). | Sections 1.1 and 1.2 in the textbook | | | | Tuesday | Course introduction ({{wiki:01_intro.pdf | slides}}). | Sections 1.1 and 1.2 in the textbook | | | ||
| - | | Thursday | Course introduction (continued). Linear models and the perceptron algorithm ({{wiki:02_linear.pdf | slides}}) | Chapters 1,3.1 in the textbook | | | + | | Thursday | Course introduction (continued). Linear models and the perceptron algorithm | Chapters 1,3.1 in the textbook | | |
| - | ^ Week 2: September 1,3 | | | | | + | ^ Week 2: August 30, Sept 1 | | | | |
| - | | Tuesday | Linear models (continued). Short intro to python [ [[notes:python_getting_started | notes]] ] | Chapters 1,3.1 in the textbook | [[assignments:assignment1 | Assignment 1]] is available. Due date: 9/17. | | + | | Tuesday | Linear models (continued). Short intro to python [ [[notes:python_getting_started | notes]] ] | Chapters 1,3.1 in the textbook | | |
| - | | Thursday | More Python; [[code:perceptron | code]] for the perceptron. Linear regression ({{wiki:03_linear_regression.pdf | slides}}) | Chapter 3.2 | | | + | | Thursday | More Python; [[code:perceptron | code]] for the perceptron. Linear regression | Chapter 3.2 | | |
| - | ^ Week 3: September 8,10 | | | | | + | ^ Week 3: September 6,8 | | | | |
| | Tuesday | Linear regression (continued). Intro to latex | Chapter 3.2 | | | | Tuesday | Linear regression (continued). Intro to latex | Chapter 3.2 | | | ||
| - | | Thursday | Logistic regression ({{wiki:04_logistic_regression.pdf | slides}}) | Chapter 3.3 | | | + | | Thursday | Logistic regression | Chapter 3.3 | | |
| - | ^ Week 4: September 15,17 | | | | | + | |
| - | | Tuesday | Overfitting ({{wiki:05_overfitting.pdf | slides}}) | Chapters 2.3,4.1 | | | + | ... |
| - | | Thursday | Regularization and model selection; cross validation ({{wiki:06_regularization.pdf | slides}}) | Chapter 4.2, 4.2.2 | [[assignments:assignment2 | Assignment 2]] is available. Due date: 10/2. | | + | |< 100% 18% 40% 19% 13% >| |
| - | ^ Week 5: September 22,24 | | | | | + | |
| - | | Tuesday | Support vector machines ({{wiki:07_svm.pdf | slides}}) | Chapter e-8 | | | + | ^ Week 15: December 6,8 | | | | |
| - | | Thursday | SVMs (continued) | Chapter e-8 | | | + | | Tuesday | Course summary | | | |
| - | ^ Week 6: September 29, October 1 | | | | | + | | Thursday | Poster session | | | |
| - | | Tuesday | Expressing SVMs in terms of error + regularization; unbalanced data ({{wiki:07_svm_unbalanced.pdf | slides}}). Here's [[code:demo2d | code]] for displaying the decision boundary of a classifier. | Chapter e-8 | | | + | |
| - | | Thursday | Nonlinear SVMs: kernels ({{wiki:08_kernels.pdf | slides}}) | Chapter e-8 | [[assignments:assignment3 | Assignment 3]] is available. Due date: 10/16. | | + | |
| - | ^ Week 7: October 6,8 | | | | | + | |
| - | | Tuesday | Kernels continued; model selection ({{wiki:09_evaluation.pdf | slides}}); a [[code:model_selection | demo]] of model selection in scikit-learn. | Chapter e-8 | | | + | |
| - | | Thursday | Multi-class classification ({{wiki:10_multi_class.pdf | slides}}). And here's [[code:model_selection | how to do it]] in scikit-learn. | | | | + | |
| - | | + | |
| | | ||
schedule.txt · Last modified: 2016/12/05 10:38 by asa
Page Tools
Except where otherwise noted, content on this wiki is licensed under the following license: CC Attribution-Share Alike 4.0 International
