Intro/promotions Slides presented in Montreal Python 5 (26 feb) for the main presentation on Machine learning enpowered by python on the 14th of april 2009 http://montrealpython.org/ http://labanque.ca/

1. Why a talk about machine learning and python?
Introduction to Montreal-Python 6
Machine Learning enpowered by Python
Francis Pieraut
fpieraut@gmail.com
http://fraka6.blogspot.com/
When: ∼ 14 April 2009
Python-Montreal 6
http://montrealpython.org/
Francis Pieraut fpieraut@gmail.com http://fraka6.blogspot.com/ Machine Learning enpowered by Python

2. Why a talk about machine learning and python?
Introduction to Montreal-Python 6
Why Machine Learning enpowered by Python?
Machine Learning: Subfield of AI (learning from data)
Applications ⇑: Fraud detection, Marketing, Web traffic, etc.
Soft. Projects Failure Rate < AI Soft. Projects Failure Rate
Integrated real live prototypes ⇒ Probability(success) ⇑
Python allows extreme prototyping & flexibility: flayers +
Mlboost + Scipy + matplotlib + PyQT + Swig etc.
Francis Pieraut fpieraut@gmail.com http://fraka6.blogspot.com/ Machine Learning enpowered by Python

3. Why a talk about machine learning and python?
Introduction to Montreal-Python 6
Machine Learning enpowered by Python Preview
Part 1) Machine Learning 101
Part 2) Real-time example with mlboost
Francis Pieraut fpieraut@gmail.com http://fraka6.blogspot.com/ Machine Learning enpowered by Python