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26.   What is Regularization? When do we need it?

Machine Learning Basics, Deep Learning Basics

Easy

Amazon Microsoft Netflix

28.   What is ROC Curve? What is the interpretation of an ROC area under the curve? What is the difference between the PR(Precision-Recall) curve and the ROC curve?

Machine Learning Basics, Deep Learning Basics

Medium

Amazon Microsoft

31.   Explain Back-propagation and it's advantages.

Deep Learning Basics

Medium

Microsoft

32.   Explain how Support Vector Machine (SVM) works? Describe Optimization of Hinge Loss in terms of lagrange.

Advanced Machine Learning

Medium

Amazon Microsoft

33.   Explain K-Means Algorithm? How to select optimal value of "k" it? Does k-means converge to a global solution?

Advanced Machine Learning

Medium

Microsoft

34.   Explain the Decision Tree algorithm. What are Entropy and Information gain in Decision Tree algorithm?

Advanced Deep Learning

Medium

Microsoft

38.   What is a P-value, and how to interpret them?

Machine Learning Basics, Probability

Easy

Microsoft

39.   What are Type I and Type II errors? How to avoid them?

Machine Learning Basics

Easy

Microsoft

42.   Describe how gradient boosting works.

Advanced Machine Learning

Medium

Microsoft

45.   Explain the difference between bagging and boosting models.

Machine Learning Basics

Medium

Amazon Microsoft
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