How to Design Your Model Development Life Cycle
In This White Paper
According to Gartner Research, by 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.
In this educational white paper “How to Design Your Model Development Lifecycle”, the second installment of our “Lab to Factory” series, is focused on building Machine Learning capabilities across the enterprise. Rehgan and Garrett will help us understand:
- Trends driving the adoption of machine learning in today’s market
- How to define the Model Development Life Cycle
- Common challenges migrating a model downstream to user acceptance testing
- Best Practices for a User Acceptance Testing transition checklist