2012_13
Lecture slides
- Lecture 1
- Lecture 2
Supplemental notes on Binary Markov Chain derivation. - Lecture 3
- Lecture 4
Supplemental notes on Decision theory perspective on classification - Lecture 5
Supplemental notes on Least squares derivation and the pseudoinverse; bed-time reading on the Moore-Penrose pesudoinverse (optional) - Lecture 6
Supplemental (but vital) notes on Principal Components Analysis - Lecture 7
Demonstration of paper presentation, on "Neurosynth" Yarkoni et al, Nature Methods Nature Methods, 8(8):665–670, 2011. - Lecture 8
Labs
- Lab 1: Lab01.pdf
Solutions: Lab01_files.zip - Lab 2: Lab02.pdf
Solutions: Lab02_files.zip - Lab 3: Lab03.pdf
Files: spam_data.mat
Solutions: Lab03_files.zip - Lab 4: Lab04.pdf Lab04_hints.pdf
Files: digits.mat display_digit.m
Solutions: Lab04_files.zip - Lab 5: Lab05.pdf
Files: Lab05.m GetDat.m Train.mat Test.mat
Solutions: Lab05_files.zip - Lab 6: Lab06.pdf Lab06_pseudocode.m
Files: digits.mat
Solutions: Lab06_files.zip - Lab 7: Lab07.pdf
Files: NYtimes.mat
Solutions: Lab07_files.zip - Lab 8: Lab08.pdf Lab08_hints.pdf (including some figures of the 'solution')
Files: (see solutions zip)
Solutions: Lab08_files.zip - Lab 9: Lab09_CourseReview.pdf
Written Assignment
Problem Sets
- HW01.pdf (Roughly corresponds to Lecture 1)
Solutions: HW01_Sol.pdf - HW02.pdf (Roughly corresponds to Lecture 2)
Solutions: HW02_Sol.pdf - HW03.pdf (Roughly corresponds to Lectures 3 & 4)
Solutions: HW03_Sol.pdf - HW04.pdf (Roughly corresponds to Lectures 4 & 5)
Solutions: HW04_Sol.pdf - See Lab09_CourseReview.pdf for more review problems.
Other resources:
Critical reading assignment
- List of potential papers for presentation.
- Presentation Tips
- Polished, practiced and organised presentation
- Slides without too much text (short phrases, not full sentences)
- Ample but purposeful use of illustrations/graphics/figures
- Clear statement of contributions and weakness of the paper
- Enough background to make the goal/importance of the paper clear
MATLAB
Matrices
- An introduction to matrix derivatives
- A useful matrix "cheat sheet" (from Sam Roweis, Toronto)
- Two exhaustive references: Matrix Cookbook (online book by Petersen & Pedersen) and Matrix Reference Manual (web-book by Mike Brookes).