What are some common questions in ML certification exams?

What are some common questions in ML certification exams?

Common questions often cover topics like supervised vs unsupervised learning, model evaluation metrics, and overfitting.

Can you give me an example of a supervised learning question?

Sure! A typical question might be: "What is the difference between regression and classification in supervised learning?"

What about questions related to neural networks?

You might encounter questions like: "Explain the architecture of a neural network and the role of activation functions."

How can I prepare for these questions?

Focus on understanding key concepts, practice with sample questions, and consider taking mock exams to test your knowledge.