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Applying module skills

Instruction and application
In Progress

This module focuses on 3 key skills that you will develop by completing async units and attending workshops:

  • **Skill 1:**Select and implement appropriate performance metrics for different types of ML models
  • Skill 2: Optimise model performance based on evaluation results and business requirements
  • Skill 3: Analyse the trade-offs between model complexity and performance using bias-variance concepts

Select and implement appropriate performance metrics for different types of ML models in the real-world​

In 2021, Spotify used precision and recall to evaluate its recommendation models, ensuring suggested songs matched listener preferences while reducing irrelevant recommendations.

This improved user engagement and listening time, contributing to increased user retention and better ad targeting.

By aligning metric selection with evolving user behavior, Spotify can continually refine its models for niche audiences, further personalizing experiences and boosting satisfaction.

Action item: Share how you will apply module skills to your workplace.​

**Directions:**Read the module skills listed above.

  • Choose a module skill and think of 3 ways to apply it in your role
  • Choose the bestpotential application
  • Create a post for the group explaining how you’d like to apply this skill this month
  • Post your explanation in the discussion board below by clicking ‘+ Create topic’
  • If you finish early, review what others have posted.