introduction to machine learning on azure
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Pre
sen
ter
Info
1982 I started working with computers
1988 I started my professional career in computers industry.
1996 I started working with SQL Server 6.0
1998 I earned my first certification at Microsoft as Microsoft
Certified Solution Developer (3rd in Greece)
I started my career as Microsoft Certified Trainer (MCT)
with more than 30.000 hours of training until now!
2010 I became for first time Microsoft MVP on Data Platform
I created the SQL School Greece www.sqlschool.gr
2012 I became MCT Regional Lead by Microsoft Learning
Program.
2013 I was certified as MCSE : Data Platform
& MCSE : Business Intelligence
2016 I was certified as MCSE: Data Management & Analytics
Antonios ChatzipavlisSQL Server Expert & Evangelist
MCT, MCSE, MCITP, MCPD, MCSD, MCDBA,
MCSA, MCTS, MCAD, MCP, OCA, ITIL-F
SQ
Lsc
ho
ol.g
r
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▪ What is Machine Learning?
▪ Machine Learning Concepts
▪ Azure Machine Learning
Machine Learning Workflow
Data Model
ContainsPatterns
FindsPatterns
RecognizesPatterns
Application
Supplies new data to see if it matches
known patterns
▪ Asking the Right Question▪ Choosing what question to ask is the most important part of making Machine Learning
▪ Ask yourself ▪ Do you have the right data to answer this question?
▪ Do you know how you will measure success?
Start with Machine Learning
The Machine Learning Lifecycle
Raw Data
Raw Data
Apply Pre-processing Modules
Prepared Data
ApplyMachine Learning
Algorithms
Iterate until data is ready
CandidateModel
Iterate to find the best model
Deploy Model
ChosenModel
ApplicationsApplications
Re-create model regularly
▪ Training Data▪ The prepared data used to create a model
▪ Supervised Learning▪ The value you want to predict is in the training data
▪ The data is labeled
▪ The most common
▪ Unsupervised Learning▪ The value you want to predict in not in the training data
▪ The data is unlabeled
Terminology
▪ Training data▪ Choose features
▪ Input training data (70%)
▪ Choose Learning Algorithm
▪ Generate Candidate model
▪ Testing a Model▪ Input test data (30%)
▪ Generate target values from test data
▪ Compare target values generated from test data with actual target data
Training and Testing Model
Azure Machine Learning TrialFree
Limited to Azure Machine Learning Features
https://studio.azureml.net/home
Add Machine Learning to Azure accountFull Azure Integration
https://portal.azure.com
Azure Machine Learning Account Options