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ML/DL Best Practices: Building Pipelines with Applied Rules

LORRAINE GILLAMAC

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Explore how to troubleshoot deep learning models and build robust deep learning solutions. Discover the technical challenges of machine learning and how to deal with them and analyze case studies on the impacts of adopting deep learning best practices and deploying deep learning solutions in the enterprise. Review approaches for implementing scalable machine learning systems and rules for building machine learning pipelines into applications. Finally, discover how to use feature engineering to pull features, manage training-serving skew and slowed growth, optimize refinement and complex models.

Issued on

July 7, 2020

Expires on

Does not expire