**new**team drive view semester 1 view semester 2 view all

### Exams

Exam | Location | Date | ||
---|---|---|---|---|

PWA | St. Leonard's Land (SEE "View") | Wed 02 May, 09:30 - 12:30 | ||

INF2B | St. Leonard's Land (SEE "View") | Fri 04 May, 09:30 - 11:30 | ||

INF2D | St. Leonard's Land (SEE "View") | Mon 14 May, 09:30 - 11:30 |

### General guide, mailing list archives

**Facebook Group Chat****Honours hurdles**: refer to your DRPS programme**INF2 Feedback**: The Google Form for feeding back to the INF2 Year Reps is here!

### INF2D - Reasoning and Agents piazza | drps, info, papers

- MCQ Question Cache
- Quizlet
- Python implementation of algorithms from Russell And Norvig’s “Artificial Intelligence - A Modern Approach”
- Alpha-Beta pruning interactive example
- Another AB pruning example - allowing you to create your own tree
- Good set of video lectures on most things covered in the course
- Breadth first search & depth first search

### INF2B - Algorithms, Data Structures and Learning piazza (learning) | drps, info, papers

**Learning**

- What is a neural network? (3blue1brown)
- Using neural nets to recognise handwritten digits
- Revision Formulae for Learning Thread (pdf) (LaTex)

**ADS**

- Introduction to ADS (gitbook, non inf)
- Amazing interactive examples from from USFCA
- Wikibook covering most of the stuff we are doing
- Karatsuba Multiplication in 13 minutes (video, watchable at 1.25x)

**Learning coursework**

- MATLAB for use at home (free)
- Installing GNU Octave on macOS (much lighter than MATLAB)
**NumPy**: quickstart tutorial- Example Lab using numpy, scipy, pandas, and matplotlib: Similarity and recommender systems
**Why can’t I paste using Ctrl+V in MatLab???**- The default settings are odd. Go to Preferences -> MATLAB -> Keyboard -> Shortcuts, change*Emacs Default Set*to*Windows Default Set*.**Run MATLAB scripts from the command line**- Relevant bits from Vision processing at Stanford:
- Interactive veronoi knn explorer
- Interactive SVM examples, similar to discriminant functions
- Linear classifiers the content seems to better explain the lectures on NN and discriminant functions

### PWA - Probability with Applications piazza

- Summary
- 7th edition solution booklet
- Cheat Sheet (source)
- Another cheat sheet with guides on distributions
**Mostly-complete notes**- Discrete probability: Missing combinatorics section.
- Continuous probability: Missing continuous markov chains, poisson processes, birth-death processes etc.

**Videos**- Binomial probability (Khan Academy)
- Intro to Poisson distribution (jbstatistics)

**Calculators**