From the talk given on the AI Ukraine conference in Kharkiv, Ukraine October 25th 2014. Video here: https://www.youtube.com/watch?v=8xIgNgDdaac This was a live coding session in .NET demonstrating some of the possibilities Internet of Things and Big Data give to Machine Learning. We analyzed exercise data from a fitness device together with calendar and weather data to determine future training schedules and make incentives and goals.

1. INTERNET OF
MACHINE LEARNING
A PRACTICAL INTRODUCTION

2. ANALYSIS DATA
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3. Exercise data
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SportsTracker
Jun. 2011 – Apr. 2012
RunKeeper
Apr. 2011 – Apr. 2014
Strava
Jan. 2012 – Oct. 2014
PolarPersonalTrainer
Dec. 2012 – Apr. 2014

4. Exercise data
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5. Weather data
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Historical data (~1 year) Forecast (~1 week)

6. Weather Data
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Historical Data Timeline
2011 2012 2013 2014
PolarPersonalTrainer
RunKeeper
Strava
SportsTracker
eKlima

8. DATA CLASSIFICATION
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9. Data Classification
http://www.nltk.org/book/ch06.html
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10. Data Classification
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11. Desicion Trees
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12. LEARNING
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13. Learning
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14. DEMO
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15. The results – Typed prediction
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16. The results – Calendar prediction
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17. The results – Calendar prediction
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