I'm asked to held an interview with the students who are applying to attend a training about "Structured Machine Learning" so, what do you suggest about this interview and what metric should I follow for the evaluation.
I appreciate your ideas and suggested questions.
Dear Ahmed,
You can structure you interview session in the following ways:
1. Idea of Machine Learning (ML)
2. Inception and need of ML
3. Basic steps of ML applications
4. Internationally accepted steps used to implement ML
5. Applications
6. Drawback and advantages of ML
7. Scope for future study using ML
Thanks,
Sobhan
Dear Ahmed,
You can structure you interview session in the following ways:
1. Idea of Machine Learning (ML)
2. Inception and need of ML
3. Basic steps of ML applications
4. Internationally accepted steps used to implement ML
5. Applications
6. Drawback and advantages of ML
7. Scope for future study using ML
Thanks,
Sobhan
Dear Ahmed,
As far as I understand the candidates are not supposed to have followed ML courses before. May be, you should look at questions from linear algebra and calculus. This mathematical basis is important to understand problems related to ML.
Regards,
Liana
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