Tell us which one would you prefer to choose – model accuracy or model performance?
What do you understand by cluster sampling?
Mention the difference between Data Mining and Machine learning?
How is KNN different from K-means clustering?
What do you mean by parametric models?
Tell us which do you think is more important: model accuracy or model performance?
How will you design an email spam filter?
What are the best public data sets for machine learning?
What is svm in machine learning? What are the classification methods that svm can handle?
Is it better to have too many false positives or too many false negatives? Explain.
Explain how is knn different from k-means clustering?
Explain the most common types of machine learning task?
What is Overfitting? And how do you ensure you’re not overfitting with a model?
What is classification and regression in machine learning?
What is conditional probability?