Tell us which one would you prefer to choose – model accuracy or model performance?
Explain me a hash table?
What are classification problems in machine learning?
What are PCA, KPCA, and ICA used for?
What do you know about bayesian networks?
How will you explain machine learning into a layperson?
What are standardization and normalisation? Give one advantage of each over the other?
Describe precision and recall?
What are the differences between machine learning and artificial intelligence?
Do you know what's the “kernel trick” and how is it useful?
Explain the machine learning techniques?
What is bayes' theorem? How is it useful in a machine learning context?
Define a fourier transform?
What is the Applying the model in Machine Learning?
What do you understand by cluster sampling?