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Explain me machine learning in to a layperson?
Explain the difference between bayes and naive bayes?
What is svm in machine learning? What are the classification methods that svm can handle?
How do we separate one dimensional, two dimensional and three-dimensional data?
What are the three stages to build any model in machine learning?
What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?
How do you handle missing or corrupted data in a dataset?
Tell us which one would you prefer to choose – model accuracy or model performance?
What are the different Algorithm techniques in Machine Learning?
What is sequence learning?
What is dimensionality reduction? Explain in detail.
Is naïve bayes a supervised or unsupervised method?
Define A HashTable in Machine Learning?
What is data set in ml?
What were the last machine learning papers you read? Why do you think the was important?
