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Python is enough for data science ?
What do you hope to achieve in your career in the field of AI?
Explain data normalization.
How is bagging different from boosting?
What is symbolic reasoning?
What is machine learning and how can it be used for time series analysis?
What do you understand by the term, the robotics?
Explain while working on a data set, how do you select important variables?
What are tensor cores?
Explain interpolation and extrapolation?
How can you reduce bias in a given data set?
What do you understand by the term process studio?
What is skewed distribution & uniform distribution?
Why is machine learning important?
Why is naive bayes better than decision tree?