AzureML.pdf

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Media Partners
Azure Machine Learning
Designing Iris Multi-Class Classifier
Marcin
Szeliga
20 years of experience with
SQL Server
Trainer & data platform architect
Books & articles writer
Speaker at numerous conferences
SQL Microsoft Most Valuable Professional
since 2006
President of PLSSUG
Founder of SQLExpert
http://sqlexpert.pl/
http://blog.sqlexpert.pl/
marcin@sqlexpert.pl
linkedin.com/in/marcinszeliga
facebook.com/marcin.szeliga.18
Session Overview
•
Machine Learning overview
•
Microsoft Azure overview
•
Designing an Experiment using AzureML
–
Iris Multi-Class Classifier
•
Deploying a Model as a service
•
Monetizing Your Azure ML application
SQLDay 2015
Machine Learning Overview
•
Machine learning is a discipline that emerged from the
general field of artificial intelligence only quite recently
–
To build intelligent machines researchers realized that these
machines should learn from and adapt to their environment
•
It is simply too costly and impractical to design intelligent systems
by first gathering all the expert knowledge ourselves and then
hard-wiring it into a machine
•
Formal definition: “A computer program is said to learn from
experience E with respect to some class of tasks T and
performance measure P, if its performance at tasks in T, as
measured by P, improves with experience E”
Tom M. Mitchell
•
Another definition: “The goal of machine learning is to
program computers to use example data or past experience to
solve a given problem.”
Introduction to Machine Learning, 2nd Edition, MIT Press
SQLDay 2015

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