What do you mean by regression in machine learning?
Give a drawback of gradient descent ?
Tell me what are the last machine learning papers you've read?
Explain how is knn different from k-means clustering?
What is adagrad algorithm in machine learning?
How does a classifier work?
What are the best public data sets for machine learning?
What is the most frequent metric to assess model accuracy for classification problems?
Tell us which do you think is more important: model accuracy or model performance?
Tell us why is “naive” bayes naive?
Explain the function of Unsupervised Learning?
What is the method to avoid overfitting?
Why is machine learning important?
If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?
Which os is best for machine learning?