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Predicting the Future: Surprising
revelations from truly Big Data
Pushpraj Shukla
Pushpraj.Shukla@Microsoft.com
Bing Predicts
Knowledge
Understanding what the data means
Information
Indexing, aggregating, categorizing
the data
Data
Unstructured and unorganized
What can we predict?
*
*Data from http://www.americanidolbettingodds.com/
Did we get lucky?
But wait, there’s more
Data science skepticism
“The Unreasonable Effectiveness of Mathematics in the Natural
Sciences”, Eugene Wigner, 1960.
• Isn’t it remarkable how well we can predict physical phenomena using
simple equations like F = ma or PV = nRT?
“The Unreasonable Effectiveness of Data”, Alon Halevy, Peter Norvig, &
Fernando Pereira, 2009.
• Isn’t it remarkable how well we can predict human phenomena using
simple statistical models and massive quantities of training data?
Task: Classify events into "tau tau decay of a Higgs boson"
versus "background
Data Science and Machine Learning
@Microsoft
‘Big’ Tasks – Predicting human behavior and preferences, Speech,
Translation, Image and Video recognition
‘Big’ Data = SCALE
- Huge data. More data = better accuracy
- Huge models. More features = better accuracy
- Huge human feedback
‘Big’ Infrastructure and Experimental Ecosystems
Machine learning for everyone
Big Tasks:
• Be curios, make bold hypotheses
• Ask challenging questions
• Disrupt polls and traditional data collection
Big Data
• Create data: high volume public/private data streams
• Join multiple data sources: Weather, Public Health, Traffic, Crime etc.
• Utilize the Crowd: Mechanical Turk, Kaggle
Smart Infrastructure
• Re-use solutions: public APIs in Text Analytics, Speech,Image
• Cloud-based ML solutions
Collaboration and learning
Existing templates and APIs for:
Stream Analytics
Anomaly Detection
Sentiment Analysis
Churn prediction
Sales Forecasting
Face recognition
Speech Recognition
.. And many more
Azure ML : ML Studio pictured below
Questions?
Some References:
Bing Predicts: http://www.bing.com/explore/predicts?setmkt=en-us
AzureML : http://gallery.cortanaanalytics.com/
Reach me at Pushpraj.Shukla@Microsoft.com

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Predicting the Future With Microsoft Bing

  • 1. Predicting the Future: Surprising revelations from truly Big Data Pushpraj Shukla Pushpraj.Shukla@Microsoft.com
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  • 11. Knowledge Understanding what the data means Information Indexing, aggregating, categorizing the data Data Unstructured and unorganized
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  • 13. What can we predict?
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  • 17. Did we get lucky?
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  • 24. Data science skepticism “The Unreasonable Effectiveness of Mathematics in the Natural Sciences”, Eugene Wigner, 1960. • Isn’t it remarkable how well we can predict physical phenomena using simple equations like F = ma or PV = nRT? “The Unreasonable Effectiveness of Data”, Alon Halevy, Peter Norvig, & Fernando Pereira, 2009. • Isn’t it remarkable how well we can predict human phenomena using simple statistical models and massive quantities of training data?
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  • 26. Task: Classify events into "tau tau decay of a Higgs boson" versus "background
  • 27. Data Science and Machine Learning @Microsoft ‘Big’ Tasks – Predicting human behavior and preferences, Speech, Translation, Image and Video recognition ‘Big’ Data = SCALE - Huge data. More data = better accuracy - Huge models. More features = better accuracy - Huge human feedback ‘Big’ Infrastructure and Experimental Ecosystems
  • 28. Machine learning for everyone Big Tasks: • Be curios, make bold hypotheses • Ask challenging questions • Disrupt polls and traditional data collection Big Data • Create data: high volume public/private data streams • Join multiple data sources: Weather, Public Health, Traffic, Crime etc. • Utilize the Crowd: Mechanical Turk, Kaggle Smart Infrastructure • Re-use solutions: public APIs in Text Analytics, Speech,Image • Cloud-based ML solutions
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  • 30. Collaboration and learning Existing templates and APIs for: Stream Analytics Anomaly Detection Sentiment Analysis Churn prediction Sales Forecasting Face recognition Speech Recognition .. And many more Azure ML : ML Studio pictured below
  • 31. Questions? Some References: Bing Predicts: http://www.bing.com/explore/predicts?setmkt=en-us AzureML : http://gallery.cortanaanalytics.com/ Reach me at Pushpraj.Shukla@Microsoft.com