Machine Learning Interview Questions For Freshers

Machine Learning Interview Questions For Freshers

By familiarizing yourself with these interview questions and their answers, you'll gain a solid understanding of the key concepts and techniques in machine learning. 

Machine Learning Interview Questions For Freshers

Whether you're aiming for a machine learning engineer position, a data scientist role, or simply looking to expand your knowledge, this compilation will serve as a valuable resource to help you ace your interviews and kickstart your career in machine learning. 

1.  Why was Machine Learning Introduced?

2.  What are Different Types of Machine Learning algorithms?

3.  What is Supervised Learning?

4.  What is Unsupervised Learning?

5.  What is ‘Naive’ in a Naive Bayes?

6.  What is PCA? When do you use it?

7.  Explain SVM Algorithm in Detail

8.  What are Support Vectors in SVM?

9.  What are Different Kernels in SVM?

10.  What is Cross-Validation?

11.  What is Bias in Machine Learning?

12.  Explain the Difference Between Classification and Regression?



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