Building machine learning applications can be complex. Choosing the right ML approach for a given feature, analyzing model errors and data quality issues, and validating model results to guarantee product quality are all challenging problems that are at the core of the ML building process. Join us in August to learn about some of the pitfalls in deploying ML applications.
Agenda
