Explain different types of role in machine learning with example In machine learning, there are several roles that individuals can play, depending on their expertise and the tasks they perform. Here are some of the different types of roles in machine learning: 1. Data Scientist: Data scientists are responsible for collecting, cleaning, and analyzing large amounts of data to extract insights and inform business decisions. They use statistical methods and machine learning algorithms to build predictive models and optimize processes. For example, a data scientist might work for a retail company and analyze sales data to forecast demand and optimize inventory levels. 2. Machine Learning Engineer: Machine learning engineers are responsible for building and deploying machine learning models in production environments. They work closely with data scientists to translate their models into scalable software applications. For example, a machine learning engineer might work for a health...