Here are the differences between Data scientists and Machine learning Engineers.
Preparing a goal for an organization is the role of the Data Scientist. He is like a super manager. He has skills in different technologies and processes.
- They are not statisticians, data analysts, computer scientists, software engineers, or business analysts.
- The gap between statisticians and data scientists is later one who publish theoretical articles and train statisticians.
- Statisticians think that data science is about analyzing data, but it is more than that.
- They implement algorithms that process data automatically to provide automated predictions and actions.
Machine learning engineer
ML engineer’s role is a subset of a data scientist. They develop the models. Also, they write algorithms to create a new model. Then data science engineers test the machine learning model together.
Stages in Machine Learning
- Data collection
- Data Cleaning
- Training dataset
- Generating Model
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