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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.
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How would you implement a recommendation system for our company’s users?
Why do you need a for loop? How do you do for loops in python and r?
How do you work towards a random forest?
What is world knowledge nlp terminology?
What are some emerging trends in multimodal AI?
Explain the k-nearest algorithm different from the knn clustering?
What are the potential positive societal impacts of AI systems?
What are generators in Python?
What are benefits of expert systems?
How does AI assist in contract analysis?
Which search algorithm will use limited amount of memory? a) RBFS b) SMA* c) Hill-climbing search algorithm d) Both a & b
Describe 'training set' and 'training test'.
What are the benefits of user-defined functions?
What is an api?
Tell us what is your training in machine learning and what types of hands-on experience do you have?
