Textbook:
Foundations
of Machine
Learning.
Draft copies
are available for purchase for $30
from
Copiesmart Centre, 103-5728 U. Blvd, right next to McDonald's in
the UBC Village.
Grading: maximum of (Midterm: 35%, Final: 45%, Weekly assignments: 20%) or (Midterm: 20%, Final: 60%, Weekly assignments: 20%)
L# | Date | Topic | Reading | Homework |
---|---|---|---|---|
L1 | Mon Jan 7 |
Intro | Ch 1 | .
|
L2 | Wed Jan 9 |
Quiz | Matlab tutorials | . |
L3 | Fri Jan 11 |
Linear algebra basics | 2.2, 2.7, 11.5 and Linear algebra handout | . |
L4 | Mon Jan 14 |
Eigenvectors, SVD | Ch 2 | hw1.pdf,
due Mon 21st. Also download
Change of variables
handout
and Code.zip
and heightWeightDataSimple.txt.
Solution
|
L5 | Wed Jan 16 |
PCA | Ch 3 | . |
L6 | Fri Jan 18 |
PCA | Ch 3 | . |
L7 | Mon Jan 21 |
Fisher's LDA; Linear regression | Ch 4 |
hw2.pdf, due Mon 28.
Also download Code.zip
and
olivettifaces.mat.
Also download
plotFaces.m to replace version in Code.zip.
Solution
|
L8 | Wed Jan 23 |
Basis functions; Cross validation | Ch 4 | . |
L9 | Fri Jan 25 |
QR and SVD | Ch 4 | . |
L10 | Mon Jan 28 |
Ridge regression | Ch 4 | hw3.pdf, Due
Mon 4th. Also download housing.data (text file)
and new version of Code.zip.
Solution
|
L11 | Wed Jan 30 |
Generalized ridge | Ch 4 | . |
L12 | Fri Feb 1 |
No class (San Diego) | . | . |
L13 | Mon Feb 4 |
Class cancelled | . | . |
L14 | Wed Feb 6 |
Feature selection | . | . |
L15 | Fri Feb 8 |
Lasso/QP | . | . |
L16 | Mon Feb 11 |
Forwards selection | . | . |
L17 | Wed Feb 13 |
Shooting; LARS | . | hw4.pdf,
due Wed Feb 20.
Also download new version of
Code.zip
prostate.mat..
Solutions..
|
L18 | Fri Feb 15 |
Review | . | . |
L19 | Mon Feb 18 |
Spring break | . | . |
L20 | Wed Feb 20 |
Spring break | . | . |
L21 | Fri Feb 22 |
Spring break | . | . |
L22 | Mon Feb 25 |
Midterm midterm.pdf midtermSol.pdf | . | . |
L23 | Wed Feb 27 |
Post mortem | . | . |
L24 | Fri Feb 29 |
K-means clustering | Clustering handout | . |
L25 | Mon Mar 3 |
Hierarchical clustering | . | hw5.pdf Also download new Code.zip and mandrill-large.tiff and mandrill-small.tiff. Solution |
L26 | Wed Mar 5 |
Logistic regression | New intro handout | . |
L27 | Fri Mar 7 |
Optimization | Optimization handout | . |
L28 | Mon Mar 10 |
Naive Bayes | Logistic regression handout, Generative classifiers handout | . |
L29 | Wed Mar 12 |
Gaussian classifiers | . | . |
L30 | Fri Mar 14 |
MVN | Probability handout, Probability distributions handout, | . |
L31 | Mon Mar 17 |
Parameter estimation | Parameter estimation handout | . |
L32 | Wed Mar 19 |
Parameter estimation | . | hw6.pdf Also download new Code.zip and Data.zip. Solution |
L33 | Fri Mar 21 |
Good Friday | . | . |
L34 | Mon Mar 24 |
Easter Monday | . | . |
L35 | Wed Mar 26 |
Shrinkage estimates for many normal means | . | . |
L36 | Fri Mar 28 |
Laplace approx for logistic regression | . | . |
L37 | Mon Mar 31 |
Normal-inverse-Gamma models | bayesian statistics handout | . |
L38 | Wed Apr 2 |
Bias/variance tradeoff | Frequentist statistics handout | hw7.pdf Also download new fastfit.zip and lightspeed2.2.zip and gaussClassifMissingData.mat. hw7Sol.pdf |
L39 | Fri Apr 4 |
Decision theory | Decision theory handout | . |
L40 | Mon Apr 7 |
Review | practiceFinal.pdf practiceFinalSol.pdf | . |
L41 | Wed Apr 9 |
Review | . | . |
L41 | Fri Apr 11 |
No class | . | . |