Applying module skills
This module focuses on 3 key skills that you will develop by completing async units and attending workshops:
- Skill 1: Understand various ML model architectures and training methodologies, enabling the selection and implementation of the most appropriate ML solutions for specific business problems.
- **Skill 2:**Apply techniques to fine-tune and optimise the training process, enhancing model performance, computational efficiency, and model fit to deliver robust ML solutions.
- **Skill 3:**Develop critical skills in bias detection, ensuring ML solutions are not only accurate but also fair and ethical across diverse user groups.Model Selection & Training Methodologies
Airbnb used decision trees and deep learning to power dynamic pricing, tailoring models by region and property type. Improved booking rates and host satisfaction while ensuring the system scaled globally. Continuously retrain with fresh data and share learnings across teams to improve other systems.
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.