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AI AllOther (6) A stranger uses a search engine to find something and you do not know anything about the person. How will you design an algorithm to determine what the stranger is looking for just after he/she types few characters in the search box?
1 469There are 8 identical balls and only one of the ball is slightly heavier than the others. You are given a balance scale to find the heavier ball. What is the least number of times you have to use the balance scale to find the heavier ball?
1 381What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?
1 366Create a program in a language of your choice to read a text file with various tweets. The output should be 2 text files-one that contains the list of all unique words among all tweets along with the count for repeated words and the second file should contain the medium number of unique words for all tweets.
1 423You can roll a dice three times. You will be given $X where X is the highest roll you get. You can choose to stop rolling at any time (example, if you roll a 6 on the first roll, you can stop). What is your expected pay-out?
1 391You are at a Casino. You have two dices to play with. You win $10 every time you roll a 5. If you play till you win and then stop, what is the expected pay-out?
1 410What are the metrics you will use to track if Uber's paid advertising strategies to acquire customers work? How will you figure out the acceptable cost of customer acquisition?
Uber,
1 365How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
Uber,
1 1768
How does a cloud data platform help in managing Gen AI projects?
How do biases in AI models amplify existing inequalities?
How do societal biases get reflected in AI models?
How can you detect bias in AI models?
How do you approach deployment of AI models?
Can you explain how AI is used in predictive maintenance for industrial equipment?
Tell us do you have research experience in machine learning?
What are Large Language Models (LLMs), and how do they relate to foundation models?
Why is it beneficial to run AI models on edge devices (IoT)?
How can preprocessing techniques reduce bias in datasets?
How can AI be used to predict patient outcomes?
Explain the difference between supervised, unsupervised, and reinforcement learning.
How do you measure fairness in an AI model?
What techniques can be used to make AI models more fair?
Explain demographic parity and its importance in AI fairness.