Difference between different types of tree based algorithms, and explain pros and cons.
Ai Software Engineer Interview Questions
6,029 ai software engineer interview questions shared by candidates
Asked for basic python knowledge, but later assessed how I work among others in the hackathon setting.
How many people in NYC on a normal Sunday day will drink coffee?
What is an interesting problem in finance that AI can solve
1. Highly Profitable Months The stocks of a company are being surveyed to analyze the net profit of the company over a period. For an analysis parameter � k, an interval of � k consecutive months is said to be highly profitable if the values of the stock prices are strictly increasing for those months. Given the stock prices of the company for � n months and the analysis parameter � k, find the number of highly profitable intervals. Example stockPrices = [5, 3, 5, 7, 8] � = 3 k=3 These are the intervals of � k months in which the stock prices are strictly increasing: [Visual representation of the intervals in a bar graph] Hence the answer is 2. Note: If the interval length is 1, each subarray of length 1 is highly profitable The problem statement in the image is as follows: 2. Rearranging a Word Given word, return the next alphabetically greater string in all permutations of that word. If there is no greater permutation, return the string 'no answer' instead. Example word = 'baca' The string 'baca' has the following permutations in alphabetical order: 'aabc', 'aacb', 'abac', 'abca', 'acab', 'acba', 'baac', 'baca', 'bcaa', 'caab', 'caba', and 'cbaa'. The next alphabetically greater permutation of the original string is 'bcaa'. Function Description Complete the function rearrangeWord in the editor, rearrangeWord has the following parameter(s): string word: the string to analyze Returns string: Return the next alphabetically greater permutation of the string. If no such string exists, return the string 'no answer'.
Given a case find the solution
Some generic questions about Deep Learning, NLP (BERT, Transformer-XL, etc.), Batch/Weight/Layer Normalization, GANs, Adam, etc.
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
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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