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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?
422There 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?
335What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?
318Create 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.
373You 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?
339You 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?
371What 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,
306How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
Uber,
1720
Does rtx 2070 support freesync?
What is symbolic planning?
Why machine learning is so important?
How does tensorflow use python api?
is this artificial intelligence lives over the other software programes and their flexiblity
Where is association analysis used?
What is optimization in ML?
What are the steps involved in analytics projects?
What is the use of the microcontroller in the robotics?
What are the most important machine learning techniques?
Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. a) P complete b) NP complete c) NP hard d) Domain dependent
What are the last machine learning papers you've read?
What do you mean by cluster sampling and systematic sampling?
What are support vector machines?
. What is state space? a) The whole problem b) Your Definition to a problem c) Problem you design d) Representing your problem with variable and parameter