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What are the most important machine learning techniques?
What is the “kernel trick” and how is it useful?
Explain how do you think google is training data for self-driving cars?
What is accuracy score in machine learning?
What is bayes' theorem? How is it useful in a machine learning context?
What is dimensionality reduction? Explain in detail.
Is r better than python for machine learning?
What is convergence in machine learning?
What is Genetic Programming?
Tell us which one would you prefer to choose – model accuracy or model performance?
Tell us how can we use your machine learning skills to generate revenue?
Tell us what are some differences between a linked list and an array?
Why do we convert categorical variables into factor?
What is the difference between heuristic for rule learning and heuristics for decision
What are different types of Compilers and also define how to convert NFA to DFA?
