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Exploring Machine Learning in Python with Scikit-Learn

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Kan Ouivirach, Ph.D.
Kan Ouivirach, Ph.D.

This document introduces machine learning and discusses why programmers need to know machine learning. It describes the difference between programming and machine learning. Machine learning is hard because it involves inducing functions from examples to generalize to new examples, rather than implementing specified functions. The document discusses real-world machine learning applications like recommendation systems. It recommends using Python and Scikit-Learn for machine learning tasks, as Scikit-Learn provides easy-to-use implementations of popular algorithms with consistent APIs and documentation.

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Exploring Machine Learning in Python with Scikit-Learn Kan Ouivirach Code Mania 10
Kan Ouivirach Research & Development Engineer 
 www.kanouivirach.com
What is Machine Learning? http://www.bigdata-madesimple.com/
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 is Machine Learning so hard? http://veronicaforand.com/
http://www.thinkgeek.com/product/f0ba/ What do you see?
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 Corporation Gary Loveman
God’s Eye Fast & 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
http://xkcd.com/353/
VS.
R Better 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
http://scikit-learn.org/
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

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