Webinar date: June 25, 2020
[databricks on-demand artificial inteligence software development webinars ai]
Available on-demand
In this webinar, Yan Moiseev, Solutions Architect at Databricks will share machine learning best practices learned from working with Databricks customers on ML use cases across various industries. The talk will cover how to set up machine learning initiatives for success, how to address common challenges, and share customer success stories along the way.
Specifically, we will talk about:
Success factors for machine learning problems
Deployment issues (and why you should discuss deployment requirements first)
Impact of feature engineering on downstream model performance
Modeling gotchas
Optimizing Spark ML pipelines
Importance of failing fast in Machine Learning and Data Science projects
Illusion of perfection (and why Minimum Viable Model (MVM) is necessary)
SMEs, SMEs and SMEs
Solution vs. algorithm
One-size-fits-all solutions do not exist
Featured Speaker: Yan Moiseev, Solutions Architect, Databricks
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