How will you explain machine learning to a layperson in an easily comprehensible manner?
What are the similarities & difference between machine learning and human learning?
What is the batch in machine learning?
Give examples of machine-to-machine communications?
What is a binary classification in machine learning?
Explain how is knn different from k-means clustering?
Please explain the concept of a boltzmann machine.
Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?
When should you use classification over regression?
How is F1 score is used?
Is rotation necessary in PCA?
What is the calibration layer in machine learning?
Explain me a hash table?
What do you understand by the f1 score?
What is a Confusion Matrix?