Test Machine learning - Fundamentals

This test aims to assess your skills in the field of machine learning. The structure of this MCQ is inspired by popular job interview questions in this field. The concepts you'll find here are what recruiters look for when recruiting an entry-level machine learning developer. The list of notions is vast, but expectations are basic.
The list of concepts assessed in this MCQ is written below. I advise you to master them well before starting the test, otherwise some questions may seem difficult to you.

• General information about machine learning (link to AI and deep learning, deep learning vs machine learning, etc.)
• Different type of models (clustering, classification, regression…)
• Basic notions concerning the development of models (different types of models, learning methods, train/evaluation/test sets, ensemble learning, etc.)
• Evaluation of the performance of machine learning models (evaluation of regression models, clustering, generalities, loss function, gradient descent, etc.)
• Preparation of data sets (PCA, normalization…)
• Codes and packages
  Good luck!