What is a model selection in machine learning?
What is a boltzmann machine?
What is the Difference between Concept Learning and Classification Learning in Machine Learning?
What are the two paradigms of ensemble methods?
How was bayes’ theorem useful in a machine learning context?
Which is more important to you – model accuracy or model performance?
When will you use classification over regression?
What is naive bayes used for?
what is the function of ‘unsupervised learning’?
What's the “kernel trick” and how is it useful?
How is machine learning used in day-to-day life?
Tell me how a roc curve works?
How can you avoid overfitting?
Explain the function of Unsupervised Learning?
What was bayes’ theorem? How was it useful in a machine learning context?