Machine Learning

Smackdown

@LynnLangit

Agenda

Definitions

On premise solutions

3rd party Excel

Machine Learning Add-

ins

Microsoft SQL Server Data Mining Add-

ins

R Studio

Cloud solutions

Predixion Software

Azure Machine Learning

Analytics Defined• Business Analytics - deterministic

Query Aggregation

• Predictive Analytics - probabilistic Machine Learning

Statistics

Unsupervised Data Mining

Supervised Data Mining

Other

Machine Learning Roles Defined

Data Scientist

Store

Clean

Aggregate

ML Engineer

Selects Libraries

Applies Algorithms

Creates Solutions

ML ResearcherCreates Algorithms

Algorithms by Example

Segment – Cluster Example: Marketing Best Customer Traits

Forecast – Time Series Example: Logistics Product movement over

time

Classify/Estimate – Predict Example: Medical Predict condition

likelihood Associate – Market Basket

Example: Retail Show these items nearby

ML Developer Learning Path Defined

Learn a ML

language

Pick your IDE

Pick a problem space

Get Data

Process and

ITERATE

Visualize results

What is the R Language?

R Language Semantics

search() and ls() # lists packages and objects in scope

?mean # shows function definition

Vectors (numeric, logical, character), lists, NULLs

Data Frame, Matrix (same types), Factors (Categorical)

meanx <- mean(x) or meanx = mean(x) # assignment

x[1] <- 9 # extracts and/or changes pieces

print(x) or x # prints x

plot(x) # graphs x

3rd party Excel Machine Learning Add-ins

XLMiner StatsMiner XLStat RExcel

Important: All of these tools assume expert statistical knowledge

Add-in Example: XLMiner

Data Mining Add-ins For Excel

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

Important: Use requires connection to SQL Server 2012 SSAS

Data Mining Add-ins for Excel

Data Mining Structures

Containers • Cleansed source data

One+ SSAS Algorithm(s)• Clustering• Time Series Prediction• Market-Basket Analysis • Text Mining• Neural Networks

Models • Query• Model processing

Predixion Software

Predixion SoftwareSuite 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

HTML 5

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

18

Azure ML

Azure Machine Learning

Cloud-based SaaS service

Create ML Experiments

using Datasets

Can publish results as Web

Services

Expects knowledge of statistics and data mining

Understanding options…

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 $$-$$$

Azure Machine Learning

none easy Rich set of algorithms and supports R

n/a unknown

@LynnLangit