dd2434-project

Project in DD2434 Machine Learning Advance Course, Winter 2016

## How we will work?

• We will work on the report in Overleaf
• Coding related files will be stored here
• Presentation slides [Google]

Virtualenv setup

Install virtualenv

sudo apt install python3-venv

Create a virtualenv somewhere

python3 -m venv <env name>

Activate the environment and move to the <repo folder>

. <env name>/bin/activate

The first time, install the packages from requirements.txt

pip install -r requirements.txt

(If you install something with pip install remember to dump the packages installed and push the new requirements)

pip freeze > requirements.txt

Deactivate the environment

deactivate

## Stuff to do

• Receive confirmation of paper acceptance
• Read paper
• Summarize the paper for our colleagues
• Implementation
• Create nice examples (data, plots...)
  • Example 1
  • Example 2
• Write report
• Prepare presentation slides and rehearse
• Sign up for presentation?

Roadmap

Deadline	What
22/12/2016	Starting project
24/12/2016	Reading finished
04/01/2017	Summary ready
04/01/2017	Implementation ended
07/01/2017	Examples implementation
10/01/2017	1st Draft of the report
15/01/2017	Presentation finished, Presentation test
16/01/2017	Day of the presentation (sign up?)

Interesting links

• Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models
• Support Vector Learning
• sklearn.decomposition.KernelPCA