3201 - Introduction to Machine Learning

3201 - Introduction to Machine Learning

Issued by GAIN

This rich and thorough course is designed to inspire you on the possibilities of machine learning and link your specific business question to an appropriate model type. This detailed two-day course walks you through the six steps needed to create a valuable model; from defining your research question to creating the model and model validation. With the use of two case studies, we will teach you how to execute a machine learning task step-by-step, providing you with the appropriate code.

Skills

Earning Criteria

  • Overview of machine learning – Understand the importance of modeling. Have an overview of different machine learning techniques and evaluation metrics.
  • Building the modeling team – Identify which knowledge and experience should be present in a modeling team to be successful.
  • Structuring a modeling project – Create business impact and having sufficient knowledge about each step to have an overview.
  • Roles within the modeling process – Distinguish what the role of the analyst is versus the business stakeholder.
  • Dealing with pitfalls – Recognize which major modeling pitfalls and challenges there are to avoid stepping into them.
  • Exam