Databricks
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #112
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST Question #112: Real Exam Question with Answer & Explanation
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Question
Regularization is a very important technique in machine learning to prevent over fitting. And Optimizing with a L1 regularization term is harder than with an L2 regularization term because
Options
- AThe penalty term is not differentiate
- BThe second derivative is not constant
- CThe objective function is not convex
- DThe constraints are quadratic
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