The document promotes the digipy and mlboost Python packages for machine learning. It summarizes the digipy tools and new UI, provides steps for easy installation, and demonstrates the packages' capabilities for tasks like handwritten digit recognition and feature extraction. The author, Francis Pieraut, encourages questions and thanks other contributors.

1. Review Montreal-Python 6
easy install digipy
digipy new UI
digipy tools
Demo
Questions?
easy install digipy & easy install mlboost
(Machine Learning empowered by Python)
Francis Pieraut
http://fraka6.blogspot.com/
http://bitbucket.org/fraka6/digipy/
fpieraut@gmail.com
July 6, 2009
Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ fpieraut@gmail.com
easy install digipy & easy install mlboost (Machine Learning em

2. Review Montreal-Python 6
easy install digipy
digipy new UI
digipy tools
Demo
Questions?
Machine Learning empowered by Python Review
Machine Learning 101 ⇒ Features Extraction
FE/Visualization/Demo/...⇒ Python (mlboost)
Hand writing digit recognition demo⇒ digipy
Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ fpieraut@gmail.com
easy install digipy & easy install mlboost (Machine Learning em

3. Review Montreal-Python 6
easy install digipy
digipy new UI
digipy tools
Demo
Questions?
easy install digipy 4 steps
pushing package to pypi is easy:
python setup.py sdist upload (The Python Package Index)
code on mercurial host: http://bitbucket.org/fraka6/digipy/
Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ fpieraut@gmail.com
easy install digipy & easy install mlboost (Machine Learning em

4. Review Montreal-Python 6
easy install digipy
digipy new UI
digipy tools
Demo
Questions?
digipy or digipy –test -e opt
mlboost.nn(numpy) = 10X slower flayers(C++)
Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ fpieraut@gmail.com
easy install digipy & easy install mlboost (Machine Learning em

5. Review Montreal-Python 6
easy install digipy
digipy new UI
digipy tools
Demo
Questions?
digipy-train -f digits.csv
Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ fpieraut@gmail.com
easy install digipy & easy install mlboost (Machine Learning em

6. Review Montreal-Python 6
easy install digipy
digipy new UI
digipy tools
Demo
Questions?
digipy-features2D -C 0,8 -f fe-digits-opt.csv
Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ fpieraut@gmail.com
easy install digipy & easy install mlboost (Machine Learning em

7. Review Montreal-Python 6
easy install digipy
digipy new UI
digipy tools
Demo
Questions?
Noise Robustnesss: Raw Pixels vs Extracted Features
Do we really need preprocessing?
Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ fpieraut@gmail.com
easy install digipy & easy install mlboost (Machine Learning em

8. Review Montreal-Python 6
easy install digipy
digipy new UI
digipy tools
Demo
Questions?
Fast Demo
64 raw pixel + noise
11 Features + noise
Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ fpieraut@gmail.com
easy install digipy & easy install mlboost (Machine Learning em

9. Review Montreal-Python 6
easy install digipy
digipy new UI
digipy tools
Demo
Questions?
Any questions?
...
A special thanks to Yannick Gingras, Pierre-Alexandre Fournier,
Jeremy Barnes and Caroline
easy install digipy
http://fraka6.blogspot.com/
http://bitbucket.org/fraka6/digipy/
http://bitbucket.org/fraka6/mlboost/
http://bitbucket.org/fraka6/flayers/
icml2009 was great! http://www.cs.mcgill.ca/ icml2009
..
Thanks,
Francis Pieraut - alias Fraka6
fpieraut@gmail.com
Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ fpieraut@gmail.com
easy install digipy & easy install mlboost (Machine Learning em