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DSC Webinar Series: How to Gauge Project Feasibility With Rapid Prototyping Using Code-First Data Science

  • Sean Welch 

Data scientists’ time is valuable. Computing resources are expensive. With only 87% of projects ever making it to production (Source: VentureBeat), organizations often overcommit to costly projects that bear little fruit. Data science teams need a way to assess project feasibility without diving head first.

In today’s Data Science Central webinar, you will learn how you can create a rapid baseline assessment to determine project feasibility using numerical, categorical, and image data. Help your team prioritize work and allocate resources accordingly.

You will learn how to:
• Prioritize research, assess multi-modal data sources and optimize DS time
• Use rapid prototyping for quick feasibility assessment
• Incorporate output from multiple images into a single prediction

Joe Blue, Data Scientist – DataRobot
Mel Hanna, Data Scientist – DataRobot

Sean Welch, Host and Producer – DSC