Lessons from the Field: Machine Learning in Practice

Available On Demand
In this webinar, Brooke Wenig and Amir Issaei from the Machine Learning Practice team 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 setup machine learning initiatives for success, how to address common challenges, and share customer success stories along the way.

Specifically, we will cover:
    • Deployment issues (and why you should discuss deployment requirements first)
    • Impact of feature engineering on downstream model performance
    • Modeling gotchas Optimizing SparkML pipelines
    • Illusion of perfection (and why Minimum Viable Model is necessary)
    • SMEs, SMEs and SMEs
    • Solution vs. algorithm
    • One-size-fits-all solutions do not exist

Speakers:

Brooke Wenig
Machine Learning Practice Lead at Databricks


Amir Issaei
Senior Data Scientist at Databricks

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