Machine Learning Models - Fundamentals
Data Analysis
Hard Skills
This set of questions is suitable for those who will be responsible for managing a Machine Learning project. The multiple-choice questions explore the main areas of knowledge about model evaluation and comparison metrics to generic knowledge of the main predictive models. They are suitable for people with higher seniority in ML at the model development level.
Topics covered.
- Main metrics for evaluating a Machine Learning model
- Application of different types of Machine Learning models
- Techniques or situations fundamental to being able to work and develop a Machine Learning model
Author bio
Sidi Mohamed El Alaoui: Graduate in Statistical Science. Data Analytics Manager with 5 years of data experience in Sorint.tek, with previous experience in RGI Group and Accenture. He has acquired a technical background in Big Data Analytics in both Data Science and Business Intelligence. For the past 3 years, he has been managing several projects spanning various technology stacks, on major business-level entities.