Analytics>Forward 2018 was March 10, 2018
Session 1: 9:30am - 10:20am
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Determining Cause and Effect from Observational Data (Amy Nail) pptx with notes, pdf
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A Day in the Life of an Analyst (Walt DeGrange)
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Visualization Prototyping with Plot.ly (Daniel Arneman) github
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Is Affordable Housing Affecting Property Values (Zeydy Ortiz)
Session 2: 10:25am - 11:15am
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How to Learn Data Science and Anything Else (Mark Hutchinson) github
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Bad Statistician (Melinda Thielbar)
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Shallow Learning - A Deep Learning Primer (Dan Kelly)
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Traumatic Brain Injury with Predictive Modeling and Machine Learning (Cyrus Elahi)
Session 3: 11:20am - 12:10pm
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Machine Learning - A New Approach (Mike Gilman)
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Discovering Activities from Sensors (Scott Gerard)
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Feature Generation - Transactions and Networks (Dan Kelly)
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Cloud Platform Patterns for Machine Learning and Data Science (Michael North)
Keynote: 1:30pm - 2:30pm
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LeaRning Out Loud (Mara Averick - @dataandme)
Session 4: 2:40pm - 3:30pm
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Interior Positioning Systems (Alice Broadhead)
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Too Many Bars (Xan Gregg)
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Statistics for Non-Statisticians (Gerald Belton) slideshare
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dplyr Tutorial (Ian Cook)
Session 5: 3:50pm - 4:40pm
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How to Fail at Data Science (Ujval Kamath)
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Web Scraping with R (Aaron Sterns)
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rduflights17 - Update and Localize an R package (Ian Cook) github
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AI Mammography Multivariate Analysis (Olajide Ajayi) pdf
Analytics Forward 2018 was sponsored by:
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Blue Cross and Blue Shield of North Carolina, who graciously donated the event space.
Platinum Sponsors:
Gold Sponsors:
Supporting Sponsor: