bigml webcast: september 25, 2013
DESCRIPTION
These slides provide a great overview of BigML's end-to-end workflow for building advanced predictive models, and also highlights the key new features from BigML's Fall 2013 Release.TRANSCRIPT
BigML Inc, 2013 September 2013
Machine Learning Made Easy
Wednesday, September 25, 13
BigML Inc, 2013 September 2013
Today’s Webinar• Speakers:
• Andrew Shikiar, VP Business Development
• Poul Petersen, CIO
• Enter questions into chat box – we’ll answer some via text; others at the end of the session
• For direct follow-up, email us at [email protected]
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1 BigML Workflow
2 Live demos
3 Fall 2013 Release
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ActionableInsights
4
Data ✓Easy to use✓Powerful✓Cost Effective
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Local Tools
licenseserver vendo
r storage
sysadmin
upgradespatches
licenseserver
vendorstorageupgrades
patch
eslicense
server vendor
storag
eupgrades
patches
licenseserverven
dor
storageupgrades patchessysadmin
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“Any fool can make something complicated. It takes a genius to make it simple.”
― Woody Guthrie
BigML Workflow
Consistent Interface
Auto ScalingMachine Learning
Storage
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Source
Source Dataset Model Evaluation Prediction
UploadDrag-n-drop, file upload, remote URL, S3, Odata
Change types
Select data for dataset
Numeric, Categorical, Date-Time, Text
Filter rows, un/select fields, choose size
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Dataset
Source Dataset Model Evaluation Prediction
ExamineDrag-n-drop, file upload, remote URL, S3, Odata
Configure Model
Select data for modelFields and sampling
Choose objective fieldModel or ensemble
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Model
Source Dataset Model Evaluation Prediction
Examine modelTree view, Filters, Sunburst
Download Model
Share
Rules, JSON, PMML, Python, Ruby, Objective-CJava, C#, Node.js
Gallery, Private Links
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Evaluation
Source Dataset Model Evaluation Prediction
Evaluate ModelCompare to with-held data or new dataset
Traditional Metrics
Compare Evaluations
Accuracy, Precision, Recall, F1, Phi MAE, MSR, R2
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Prediction
Source Dataset Model Evaluation Prediction
Predict
Question by Question
EnsemblesAggregate by plurality, confidence, or probability
Input new data, get predicted output and confidence
One input field at a time
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1 BigML Workflow
2 Live demos
3 Fall 2013 Release
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Churn Demo
Objective: Predict ChurnCustomers that closed account
DataFictional Telecom Company
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Churn Demo
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Churn Demo
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1 BigML Workflow
2 Live demos
3 Fall 2013 Release
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Inline Field Editing
Source Dataset Model Evaluation Prediction
New
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Secret Links
Source Dataset Model Evaluation Prediction
New
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Confusion Matrix
Source Dataset Model Evaluation Prediction
New
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Excel Model Export
Source Dataset Model Evaluation Prediction
New
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Multi-label Classification
Source Dataset Model Evaluation Prediction
New
age sex Subjects
22 male Math, Arts, Science
21 female Science
22 female Science, Math
bigmler --train Train.csv \ --test Test.csv \ --multi-label \ --label-separator ","
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BigML PredictServer
Source Dataset Model Evaluation Prediction
New
Fast predictionsUser deployableEasy
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Your Cloud / VPC
23
BigML PredictServerNew
pred
icti
ons
predictions
Your App
✓ Fast✓ Quick in-memory computation✓ Low latency✓ Batch predictions
✓ Reliable - Dedicated instance✓ Scaleable - scales with CPUs✓ Easy - API is similar to bigml.io✓ Secure - Use security groups or VPC
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New Text Analysis
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Data Typesnumeric
1 2 3
1, 2.0, 3, -5.4 categoricaltrue, yes, red, mammal categoricalcategorical
A B C
DATE-TIME2013-09-25 10:02
DATE-TIME
YEAR
MONTH
DAY-OF-MONTH
YYYY-MM-DD
DAY-OF-WEEK
HOUR
MINUTE
YYYY-MM-DD
YYYY-MM-DD
M-T-W-T-F-S-D
HH:MM:SS
HH:MM:SS
2013
September
25
Wednesday
10
02
textBe not afraid of greatness: some are born great, some achieve greatness, and some have greatnessthrust upon 'em.
text
“great”“afraid”“born”“some”
appears 2 timesappears 1 timeappears 1 timeappears 2 times
New
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Be not afraid of greatness: some are born great, some achieve greatness, and some have greatnessthrust upon 'em.
great: appears 4 times
Text AnalysisNew
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Evergreen or ephemeral?
Build a classifier to categorize webpages as evergreen or
ephemeral
http://www.kaggle.com/c/stumbleupon
0ephemeral
relevant for a short period of time
1evergreen
maintains a timeless quality and can be recommended to users
long after it is discovered
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Text AnalysisDemo
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Webinar Recap• BigML is the only cloud-based tool that provides easy-
to-use machine learning on diverse data types
• Fall 2013 Release is a great leap forward:
• Text analysis
• Multi-label classifications
• BigML PredictServer
• Microsoft Excel model export
• And dozens of workflow updates, including:
• In-line field editing
• Confusion matrix / enhanced Evaluations
• Secret links
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25% WEBINAR25DISCOUNT
Coupon valid thru OCT/13
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