What is the use of gradient descent?
What is symbolic machine learning?
Tell us what is the difference between supervised and unsupervised machine learning?
What is machine learning good for?
Explain when should you use classification over regression?
Which language is better for machine learning?
What do you mean by parametric models? Also, give some examples of them?
Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.
Is python the best language for machine learning?
Why is naive bayes better than decision tree?
What is convergence in machine learning?
Which operating system is best for machine learning?
What laptop should I buy for machine learning?
What is bias-variance decomposition of classification error in ensemble method?
What is dimensionality reduction? Explain in detail.