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25.   What is Linear Regression? What are the assumptions of a Linear Regression Model?

Machine Learning Basics

Medium

Amazon Microsoft

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

Machine Learning Basics, Deep Learning Basics

Easy

Amazon Microsoft Netflix

27.   What is Ensemble Learning? How many types of ensemble methods are there?

Machine Learning Basics

Medium

Amazon

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

29.   What are Gaussian Mixture Models? Explain how it works.

Advanced Machine Learning

Hard

Amazon

30.   Explain Expectation-Maximization Algorithm.

Advanced Deep Learning

Hard

Amazon Google Meta DeepMind

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
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