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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:**Learn how variables and features affect ML model performance and apply feature engineering techniques to enhance model effectiveness.
  • **Skill 2:**Leverage AI-based approaches for feature engineering and data preparation.
  • **Skill 3:**Apply essential data preprocessing techniques, such as handling missing data, detecting outliers and normalising data, to build machine learning models on a foundation of high-quality data.Leverage AI-based approaches for feature engineering and data preparation example.

In 2022, JPMorgan Chase used AI to create new features for fraud detection. It analysed transaction speed, location and spending patterns.

Fraud detection accuracy improved by 30%, reducing false positives and protecting customers. Real-time AI feature engineering can further adapt to new fraud patterns and enhance security.

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 three 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.