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Stats: 1: There are 25 mechanical horses and a single racetrack. Each horse completes the track in a pre-programmed time, and the horses all have different finishing times, unknown to you. You can race 5 horses at a time. After a race is over, you get a printout with the order the horses finished, but not the finishing times of the horses. What is the minimum number of races you need to identify the fastest 3 horses? 2: What is the probability of passing through a node in a directed graph Math questions: 1: Given the correlation C(A,B) and C(B,C), what is the C(A,C). Ml questions: 1: Explain how neural networks work? 2: Three solutions to solve the high variance low bias problem? 3: Explain backpropagation and the mathematical explanation of it. 4: Why CNNs works well for computer vision. 5: Random forest 6: The difference between KNN and K-mean.
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AI Scientist

Interviewed at J.P. Morgan

3.9★
Oct 29, 2021

Stats: 1: There are 25 mechanical horses and a single racetrack. Each horse completes the track in a pre-programmed time, and the horses all have different finishing times, unknown to you. You can race 5 horses at a time. After a race is over, you get a printout with the order the horses finished, but not the finishing times of the horses. What is the minimum number of races you need to identify the fastest 3 horses? 2: What is the probability of passing through a node in a directed graph Math questions: 1: Given the correlation C(A,B) and C(B,C), what is the C(A,C). Ml questions: 1: Explain how neural networks work? 2: Three solutions to solve the high variance low bias problem? 3: Explain backpropagation and the mathematical explanation of it. 4: Why CNNs works well for computer vision. 5: Random forest 6: The difference between KNN and K-mean.

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