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AI Machine Learning Interview Questions
Un-Answered Questions { AI Machine Learning }
what is the function of ‘supervised learning’?
What is conditional probability?
Explain the k-nearest algorithm different from the knn clustering?
How would you handle an imbalanced dataset?
What is the Model Building in Machine Learning?
Name some feature extraction techniques used for dimensionality reduction?
What is inductive machine learning?
Describe precision and recall?
Why is naive bayes better than decision tree?
Why do ensembles typically have higher scores than individual models?
What is not Machine Learning?
what is the function of ‘unsupervised learning’?
What are the two methods used for the calibration in Supervised Learning?
Explain the steps in making a decision tree.
Differentiate between inductive and deductive machine learning?
