Natural Language Processing Engineer Question:

Tell me what is ‘Training set’ and ‘Test set’?

Answer:

In various areas of information science like machine learning, a set of data is used to discover the potentially predictive relationship known as ‘Training Set’. Training set is an examples given to the learner, while Test set is used to test the accuracy of the hypotheses generated by the learner, and it is the set of example held back from the learner. Training set are distinct from Test set.

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What is the major difference between CRF (Conditional Random Field) and HMM (Hidden Markov Model)? A) CRF is Generative whereas HMM is Discriminative model B) CRF is Discriminative whereas HMM is Generative model C) Both CRF and HMM are Generative model D) Both CRF and HMM are Discriminative model	Tell us why instance based learning algorithm sometimes referred as Lazy learning algorithm?