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How do you optimize code for performance?
Give an explanation of collaborative filtering?
Explain how AI models predict stock market trends.
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
Explain how do you ensure you're not overfitting with a model?
What are Bayesian Networks (BN) ?
What is the breadth-first search algorithm?
What do you understand by tensorflow estimators?
How will you prove that the square root of 2 is irrational?
Why is building a strong data foundation crucial for Generative AI initiatives?
Give a drawback of gradient descent ?
What are the population, sample, training set, design set, validation set, and test set?
A problem in a search space Is defined by, a) Initial state b) Goal test c) Intermediate states d) All of the above
Can you explain recommender system?
The problem-solving agent with several immediate options of unknown value can decide what to do by just examining different possible sequences of actions that lead to states of known value, and then choosing the best sequence. This process of looking for such a sequence is called Search. State True or False a) True b) False
