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Machine Learning Interview Questions with Explanation Part 2

If you have not found the previous part of this tutorial then I would recommend you to visit Machine Learning Interview questions with an explanation post before you understand the below questions. 11 What is Heteroscendasticity? 12. What is Histogram? 13. What is Objective Function? 14. What is PCA? 15. What is the T Test? 16. What is SMOTE?

Machine Learning Interview Questions with Explanation

Machine learning interview questions are critical in order to make your career path towards data scientist. DataMites created a free video tutorial to provide a basic understanding of these questions. Here is a set of interview questions with video explanation for it. 1. What is Bayes Theorem? 2. Can We Apply Linear Regression to Non-linear Data? 3. What is L2 Regularization? 4. What is the Trade-off Between Bias and Variance? 5. What is Boosting - Machine Learning and Data Science 6. What is Box Plot? 7. What is Correlation? 8. What is Covariance? 9. What is Cross Entropy? 10. What are Features in Machine Learning? Looking to explore the role as a Machine Learning Engineer? Find out about DataMties scheduled Machine Learning Training in Bangalore , the first of its kind to come home with a solid understanding. Stay up to date and keep visiting our post….