exploring machine learning in python with scikit-learn
TRANSCRIPT
Exploring Machine Learning in Python with Scikit-Learn
Kan Ouivirach
Code Mania 10
Programming vs. Machine Learning?
Programming?
“Given a specification of a function f, implement f that meets the specification.”
Machine Learning?
“Given example (x, y) pairs, induce f such that y = f(x) for given pairs and generalizes
well for unseen x”
–Peter Norvig (2014)
Why do Programmers need to know Machine Learning?
http://www.mbs.ac.uk/news/school-news/an-outstanding-alumnus/
We are now living in the world of data.
Unlimited Sources
Real-World Applications
Recommendation System on Amazon
Advertisement System on Facebook
Speech Recognition from Microsoft
Robot Localization
https://github.com/mjl/particle_filter_demo
http://www.npr.org/sections/money/2011/11/15/142366953/the-tuesday-podcast-from-harvard-economist-to-casino-ceo
Ceasars Entertainment CorporationGary Loveman
God’s EyeFast & Furious 7
http://www.standbyformindcontrol.com/2015/04/furious-7-gets-completely-untethered/
Why Python?
Popular
Easier
Java:
public class HelloWorld { public static void main(String[], args) { System.out.println("Hello, World!"); } }
Python:
print "Hello, World"
Flexible
Coding Environments and Editors
VS.
RBetter way to do data analysis
Easier for exploratory work
Better visualization
Productivity and code readability
Better integrate with apps
Better tool to implement algorithms for production use
Python
Why Scikit-Learn?
High-quality, easy-to-use, implementations of popular Machine Learning algorithms
Well-written documentation & Consistent APIs
Models and algorithms chosen and implemented by experts
Cover most Machine Learning tasks
Scale to most data problems
https://github.com/zkan/intro-to-machine-learning/blob/master/churn.ipynb
Credits
• Scikit-Learn: http://scikit-learn.org/stable/
• Images:
• http://chicagohidef-videosurveillance.com/equipment/cctv-chicago-il/
• http://www.wired.co.uk/magazine/archive/2014/09/start/sea-change