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While creating bayesian network what is the consequence between a node and its predecessor?
What are techniques can be used for the keyword normalization?
Explain pruning in decision trees.
What is the way of dealing with “exploding gradient” problem in rnns?answer: gradient clipping, the gradient is set to the threshold. Gradient clipping will chop the gradients or restricts them to a threshold value to prevent the gradients from getting too large.
What are the disadvantages of representing the words with one hot vector?
Explain the meaning of alternate, artificial, compound and natural key?
What are the hyperparameters of ann?
What are the major artificial intelligence technologies?
What was bayes’ theorem?
What is the major difference between crf and hmm ?
Explain intelligent agents and their uses in artificial intelligence?
Size of convolution kernel would necessarily increase the performance of cnn?
What are the various aspects of a machine learning process?
What is meant by deep learning?
Explain the goal of a/b testing?
