Explain how do you think google is training data for self-driving cars?
Tell us what's the difference between type I and type ii error?
Tell us where do you usually source datasets?
Tell us what's a fourier transform?
Tell us what's the difference between a generative and discriminative model?
Explain me machine learning in to a layperson?
Do you know which is more important to you– model accuracy, or model performance?
Tell us what do you think of our current data process?
Tell us how can we use your machine learning skills to generate revenue?
Tell us what is your training in machine learning and what types of hands-on experience do you have?
Explain me what is bayes' theorem? How is it useful in a machine learning context?
Tell us which one would you prefer to choose – model accuracy or model performance?
Tell me what is the difference between bias and variance?
Tell us do you have research experience in machine learning?
Explain what are some methods of reducing dimensionality?
