What is the difference between KNN and K-Means Clustering
Ai Software Engineer Interview Questions
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What problems you have met and how did you solve it?
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.
3 coding qustions and 1 behaviour question in OA, coding question is very easy but have to explain the idea. The behaviour question is about the chanlenge you have in your work and how resolve it. then give me the video interview chance.
1) How do you think data science is different from traditional statistics? 2) Can you tell me about a time when you had to work with someone who is very difficult to work with?
Explain linear regression, models that you have used
Two coding tests on HireEve and one behavioral question.
Given a case find the solution
Mostly related to AI and ML topics then later something more about neural networks and then experience in working along with AI/ML pipeline and transformers .
How to scale horizontally in case of more traffic?
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