Interview questions
In this section, we will look at a few questions that may be asked in data scientist interviews, with an emphasis on those related to cybersecurity or associated topics. We will leave finding the right answers an exercise for you.
Theory-based questions
These questions are theoretical and used to test your knowledge and understanding of machine learning principles and concepts.
Fundamental concepts
- How is machine learning different from traditional computing?
- What is the difference between supervised and unsupervised learning?
- What is semi-supervised learning? Give an example scenario where semi-supervised learning would be the appropriate choice for modeling a problem.
- What is self-supervised learning?
- What is overfitting and how can it be prevented?
- What is underfitting and how can it be prevented?
- How can you detect overfitting/underfitting in a model?
- How does gradient descent work? What is the difference between...
