Privacy threats/attacks in ML phases
ML projects are developed in collaboration with data engineers, ML engineers, and software engineers, and each one plays a different role in order to develop end-to-end systems to predict and provide insights.
Collaborative roles in ML projects
ML projects are collaborative efforts involving various roles such as data engineers, ML engineers, and software engineers. Each role contributes in different ways to develop end-to-end systems that can predict outcomes and provide valuable insights. Let’s explore the roles and their responsibilities in the ML project life cycle:
- Data engineer: The data engineer primarily focuses on the data preparation phase. They are responsible for extracting data from one or multiple sources and ensuring its quality and suitability for the ML project. Data engineers work on tasks such as data cleaning, transformation, and feature selection to prepare the data for ML modeling.
- ML engineer: ML engineers...
