Spyros Sakellariadis, Joshua Peschel. To collect the right data for a complex machine learning experiment might take months, as you plan out choices and placements of sensors, data schemas, data logging intervals, and so on to get optimal data sets for running analytical models that produce the insights you need. In this session we'll cover the planning architecture and end-to-end experiments for measuring and analyzing hydrologic data (e.g., soil moisture) for two ongoing operations in the greater Chicagoland area: (1) determining water balances for agricultural lands; and (2) predicting and preventing urban flooding. This talk will elucidate the complexities and provide recommendations and best practices for working with environmental data in the wild. Go to https://channel9.msdn.com/ to find the recording of this session.

5. Photo Wendelland Carolyn/E+/Getty Images

6. Photo Hero Images/DigitalVision/Getty ImagesPhoto stevecoleimages/E+/Getty Images

12. http://eclipse.org/org/community_survey/SurveySummary_03312015.xls

13. Satires
Republic
Photo Ian Gethings/Moment/Getty Images

15. 1Predictive Analytics with Azure Machine Learning, Roger Barga , Valentine Fontama , Wee Hyong Tok http://www.apress.com/9781484204467
2Create your first experiment in Azure Machine Learning Studio, Gary Ericson https://azure.microsoft.com/en-us/documentation/articles/machine-learning-create-experiment/
Photo by John A. Kelly, USDA Natural Resources Conservation Service
Creative Commons

16. Basement flooding complaints
documented in Chicago during 2004 Photo AP Photo/M. Spencer Green

17. Images by Environmental Protection Agency (EPA), Washington, D.C.
In most urban areas, stormwater is drained through engineered collection
systems and discharged into nearby waterways; trash, bacteria, heavy
metals, and other pollutants from the urban landscape can all be included
in the discharge.

18. Vegetation, soils, and natural processes to manage water and create healthier urban environments.
Infiltration PlantersPermeable Pavers Infiltration Bump outs
Images by Environmental Protection Agency (EPA), Washington, D.C.
Photos by Christopher Zurcher, Creative
Commons

19. Image by United States Geological Survey (USGS), Washington,
D.C.

20. Image by Australian Government National Water Commission.

21. Photo by Keith Mountain, Creative Commons
Image by Environmental Protection Agency (EPA), Washington, D.C.

22. Image by City of Vancouver, “Greenest City Action Plan 2020”

23. Street 1
Commercial
 permeable pavers
 infiltration planters

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29. Image by Illinois Department of Transportation