Tell us which one would you prefer to choose – model accuracy or model performance?
What value do you optimize when using a support vector machine (SVM)?
What is supervised machine learning?
What are the two main components of the hadoop framework?
What is difference between supervised and unsupervised learning algorithms?
What is pca in ml?
What is Test set in machine learning?
What are the components of relational evaluation techniques?
What is the difference between a.i. And machine learning, and has a.i. Been oversold for decades because of sci-fi?
Compare sas, r and python programming?
Tell us how would you approach the “netflix prize” competition?
Why is machine learning important?
Tell us why is “naive” bayes naive?
What are neural networks and where do they find their application in ML? Elaborate.
What do you understand by the confusion matrix?