Machine Learning Developer Day

January 24, 2019 12:00 PM - 5:00 PM (EST)


Machine Learning Developer Day is designed for engineers, data scientists and analysts, and programmers to come together to learn and discuss how to most effectively use tools and platforms, and build algorithms to find adaptive solutions to complex problems. Our speakers will share both their successes and “gotchas” along the way.

Topics will include strategies and lessons learned on platforms, tools, build versus buy, use cases and business cases, and conveying insights.


12:00pm-1:00pm Registration & Lunch

1:00pm-1:45pm Technologies for Handling Uncertainty in Machine Learning: Managing Multiple Interpretations and How to Minimize the Cost of Human Intervention 
- Patrick Haffner, Lead Scientist, Interactions  

1:45pm-2:30pm How to Maintain Innovation While Developing Complex ML Infrastructure
- Sunanda Parthasarathy, Associate Director of Data Science, Wayfair

2:30pm-3:00pm Break

3:00pm-3:45pm Establishing the Right Practices for Effective AI
Pavendeep Kalra, Director of Data Science, Microsoft

3:45pm-4:30pm Using ML in an Android Demo App: The Good, The Bad, and The Ugly
C L Kim, Java Backend Software Engineer, Verizon Media Group

Thank You to Our Community Sponsors


United States

Microsoft NERD, 1 Memorial Dr, 1st Floor, Cambridge, MA 02142

Contact Information

Name: Sara Fraim
Phone: (617) 869-5425

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