learn. connect. explore....machine learning for the masses: azure ml in action arvind shyamsundar...
TRANSCRIPT
Learn. Connect. Explore.Learn. Connect. Explore.
Machine Learning for the masses: Azure ML in action
Arvind Shyamsundar
Principal PFE, Microsoft Services
Sunil Kumar BS
Escalation Engineer, Microsoft Services
What is Machine Learning?
Optimizean action given a utility
function
Predict new data based on recorded
data
Extracthidden
structure from the
data
Summarizedata into concise
descriptions
Adaptbased on recorded
data
Methods and Systems that …
History of Machine Learning
• Distributed
computing &
storage
• Deep Neural
Networks
• Learning =
Scalable,
Adaptive
Computation for
Various Big
Data
2011 (“Big
Data, DNN”)
• Wide
application in
products
• Statistical
Modeling of
Data
• Learning =
Parameter
Estimation or
Inference
2005
(“Graphical
Models”)
• Statistical
Learning Theory
• Scoring Systems
• Learning =
Optimization of
Convex
Functions
2000
(“Kernel
Machines”)
• Expert Systems
• Decision-Tree
Learning (C4.5)
• Learning =
Methods to
automatically
build Expert
Systems
1990
(“Symbolic”)
• Neural
Networks
• Artificial
Intelligence
• Learning =
Adaptation of
Neurons based
on External
Stimuli
1980
(“Neuro”)
Machine Learning IS NOT…
can yield Garbage-In-Knowledge-
Out
perform good predictions
without data modeling &
feature
engineering
Silver-bullet for all data-
driven tasks –it’s a powerful
data tool!
are a replacement for business rules – they
augment them!
Methods and Systems that …
Common Classes of Problems
Classification Regression Recommenders Clustering
What is MAML?
MAML consists of:
• ML Studio
• ML API Service
• Azure Marketplace
• Planned SDK
• Strong partner ecosystem
Our solution to address the shortage of data scientists and the huge demand for predictive analytics is MAML
Key Features:
• Industry leading algorithms
• Extensibility using R (plans to extend to Python)
• Easiest path from development to production applications
Azure ML data sources• Read from various data sources including:
• Local drive
• HTTP
• Azure Blob
• SQL Azure
• Azure Table
• Hive Query (Hadoop)
• Power Query
• Write out the results:• Azure Blob
• SQL Azure
• Azure Table
• Hive Query (Hadoop)
End – to End Modeling process
Introducing Azure ML Studio
Demo
Classification Problem
Demo
Advanced Classification Problem
Demo
Clustering Problem
Demo
Questions ?
ReferencesRelated references for you to expand your knowledge on the subject
• Azure ML Studio
technet.microsoft.com/en-in
aka.ms/mva
msdn.microsoft.com/
https://studio.azureml.net/
• Machine Learning Bloghttp://blogs.technet.com/b/machinelearning/
• MSDN
http://azure.microsoft.com/en-us/services/machine-learning/
http://azure.microsoft.com/en-us/documentation/services/machine-
learning/
http://blogs.microsoft.com/blog/2014/06/16/microsoft-azure-
machine-learning-combines-power-of-comprehensive-machine-
learning-with-benefits-of-cloud/
Datasets Used• UCI Machine Learning Repository: Indian Liver Patient
Dataset• http://archive.ics.uci.edu/ml/datasets/ILPD+(Indian+Liver+Pat
ient+Dataset)
• Cricket data• http://CricSheet.org
• Bike Buyer: AdventureWorks sample
Your Feedback is Important
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twitter.com/msdevindia
Arvind Shyamsundar:
@arvisamhttp://aka.ms/arvindsh
Sunil Kumar B.S:
@Sunilbs_SQLDEV
QUIZ!
Name any 3 data sources which can be natively consumed in AzureML?
Which MAML module is used to specify the categorical nature of a column?
What is the relevance and interpretation of ‘AUC’?
In what modes and from which languages can you invoke the MAML generated web service API?
What is the benefit and purpose of using Cross Validation module?
Which MAML module is used to specify the categorical nature of a column?
Which ML problem type best fits a scenario where specific stock trading deals or companies have to be branded as ‘suspicious’?
What do you need to configure when you get started with MAML from the Azure Portal?
What are the benefits of Workspaces in Azure ML?
How is the Azure MarketPlacerelated to Azure ML?
APPENDIX
