This document summarizes a presentation about machine learning given by Yuval Mazor. It defines machine learning as a field that constructs systems that can learn from data rather than follow explicit instructions. It discusses the main types of machine learning problems like classification, clustering, and regression. It also notes that the agenda includes a demonstration of clustering bank customers as an example of machine learning.
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Machine Learning with Python - Big Things are Happening Here Meetup
1. 息 Copyright SELA software & Education Labs Ltd. | 14-18 Baruch Hirsch St Bnei Brak, 51202 Israel | www.selagroup.com
Yuval Mazor
Machine Learning with Python
Big Things are Happening Here
Meetup, April 2015
2. About Me
Yuval Mazor,
Senior Architect
@ Sela Group, Israel
yuvalm@sela.co.il
@yuvmaz
http://blogs.microsoft.co.il/blogs/yuvmaz/
4. What is Machine Learning?
Subfield of computer science and
statistics that deals with the
construction ... of systems that can
learn from data rather than follow only
explicitly programmed instructions
Wikipedia
5. Machine Learning is not:
A specific tool or technique
A silver-bullet for all your data needs
Trivial or even easy
Magic!
6. Types of Machine Learning Problems
Classification what is the category of observation X?
Clustering which observations belong together?
Which do not?
Regression what is the relation between variables?
For a given value of variable y, what will be the value of
x?
Others:
Recommender Systems Basket Analysis
8. Summary
Machine Learning is a set of algorithms and
tools for designing models to answer business
questions
Make decisions based on the application of
models to inputs
Learn, revise and apply!