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: Apply training to optimise models; minimise overfitting; accelerate convergence for faster, more accurate results.
• Skill 2: Implement advanced strategies; maximise model robustness; optimise for critical business metrics; ensure reliable predictions.
• Skill 3: Design robust data splits; implement imbalance techniques; develop data quality protocols.Case study

"ShopSmart," a retail company, struggled with a slow-performing recommendation engine that frequently provided irrelevant suggestions, leading to decreased customer engagement and sales. By applying advanced optimisation techniques like adaptive learning rates and carefully tuning regularisation parameters, the data science team at ShopSmart significantly sped up model training and improved recommendation accuracy. This resulted in a noticeable uplift in customer satisfaction and a measurable increase in conversion rates.

Action item: Discussion

**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.