Microsoft Machine Learning Smackdown

Machine Learning Smackdown

Mark TabladilloLynn Langit

May 7-9, 2014 | San Jose, CA

Please silence

cell phones

Agenda

Goal: Survey ML tools/methods that you can actually use on the Microsoft stack

• Definitions• Tools I – Understanding 3rd party Excel Machine Learning Add-ins• Tools II – Using the Microsoft SQL Server SSAS & Data Mining Add-

ins• Tools III – Using Predixion Software • Recap and Call To Action

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TermsGoal: Create common definitions of key terms

• Business Analytics• Query • Aggregation

• Predictive Analytics• Machine Learning• Statistics• Unsupervised Data Mining• Supervised Data Mining• Other

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What does the market look like now?

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57%28%

10%6%

Regular AnalyticsUnsupervised DMSupervised DMMachine Learning

CRISP DM Lifecycle applied to ML

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7

Machine Learning – an Example

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An aside…about R Language

Using R

About 3rd party Excel Machine Learning Add-insWhat are they? Toolbars in Excel – many different offerings

• XLMiner• StatsMiner• XLStat• RExcel

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Important: All of these tools assume expert statistical knowledge

Viewing 3rd Party Add-ins XLMiner

About the Data Mining Add-ins For ExcelWhat is it? Free add-ins which add menus to use SSAS Analysis Services Data Mining

• Table Analysis Tools for Excel• Use mining models with Excel data or external data

• Data Mining Client for Excel• Create/test/explore/manage Mining Models

• Data Mining Templates for Visio• Render/share mining models as Visio Drawings

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Important: Use requires connection to SQL Server 2012 SSAS

Using the Data Mining Add-ins

for Excel

DEMO

Checking Understanding…

Data Mining Structures• Containers for cleansed source data

Data Mining Models• Child containers for source data

plus one mining algorithm• SSAS Algorithms - Clustering, Time

Series Prediction, Market-Basket Analysis, Text Mining and Neural Networks

Model Verification, Processing and Usage Tools• Model query, Model processing

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About Predixion SoftwareWhat is it? Suite of tools for predictive analytics

• Insight Now• Use mining models with Excel data or external data

• Insight Analytics• Create/test/explore/manage Mining Models

• Insight Workbench• Prepare data for model creation

• Web-based Viewers and Tools

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Important: Runs as EITHER connected to SSAS on premise OR Connected to Predixion’s cloud-based servers

Using Predixion Software

DEMO

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Understanding options…

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Add-inServer Required

Complexity of install

OtherCost of Add-in

Cost of Solution

XLMiner none easy Assumes stats expertise

$$ $$

RExcel none easy Assumes R expertise $ $

Data Mining Add-ins

SQL Server SSAS

medium Designed for single user

0 $$$

Predixion on premise

SQL Express easy Requires local R install 0 $$-$$$

Predixion on premise

SQL Server SSAS

medium Your data is stored locally

0 $$$$

Predixion cloud none easy Supports SSAS Data Mining AND R Language

0 $$-$$$

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Machine Learning Skills

Data Scientist

Store

Clean

Aggregate

ML Engineer

Selects Libraries

Applies Algorithms

Creates Solutions

ML Researcher

Creates Algorithms

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Learning Paths – ML Developers

• Learn a language… DMX, PAX, R, Mahout, Julia• Pick your IDE, tools… SSAS, Predixion, R-Studio,

Weka• Pick a problem space… Marketing, Health, Financial• Find (purchase)/gather/prepare some data…

GO!

(Visualize results)

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Call to Action – ML Decision Makers

• Pick one or more solutions

• Gather source data

• Prepare source data

• Try out some data mining algorithms

Evaluate it Understand it• Tooling

• Learning

• Data gathering/ preparation

• Storage / hosting

• Results

www.TeachingKidsProgramming.org• Free Courseware (Java, Small Basic or C# [on Pluralsight])• Do a Recipe Teach a Kid (Ages 10 ++)

• recipes)

Q & A ?

Session Evaluations

Submit by 5pmFriday May 9 to WIN prizes

Your feedback is important and valuable.

ways to access

Go to passbac2014/evals

Download the PASS EVENT App from your App Store and search: PASS BAC 2014

Follow the QR code link displayed on session signage throughout the conference venue and in the program guide

for attending this session and the PASS Business Analytics Conference 2014

May 7-9, 2014 | San Jose, CA

ThankYou

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