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Define what is Fourier Transform in a single sentence?
What is symbolic learning?
What are your favorite use cases of machine learning models?
What do you understand by algorithm independent machine learning?
What is the difference between data mining and machine learning?
Which language is better for machine learning r or python?
Explain the steps in making a decision tree.
Tell us why is “naive” bayes naive?
what is the function of ‘supervised learning’?
What are standardization and normalisation? Give one advantage of each over the other?
Tell us how can we use your machine learning skills to generate revenue?
Tell us which one would you prefer to choose – model accuracy or model performance?
Does 100% precision mean that our model predicts all the values correctly?
Describe the classifier in machine learning.
Why overfitting occurs?
