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Bing Predicts
KnowledgeUnderstanding what the data means
InformationIndexing, aggregating, categorizing
the data
DataUnstructured and unorganized
What can we predict?
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*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 everyoneBig 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 [email protected]
