Questions on deep learning and machine learning
Associate Data Scientist Interview Questions
650 associate data scientist interview questions shared by candidates
Q: Tell me about a project you are proud of.
Metrics, supervised and reinforcement learning focus.
All types of definitions in stats and ML are related to data science.
How many people in NYC on a normal Sunday day will drink coffee?
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'.
Can you tell me if the log diff between two stock prices is stationary based on graph.
Coding question was related to the role directly. Before that I was asked a question about what tool/tech I had to learn in my previous roles quickly, how I approched the learning, and some tech questions about the tool
Explain linear regression to a 5 year old. Describe past projects. What's your favorite machine learning model and why. Explain who your key stakeholders were in previous role. How did you communicate results from a machine learning model to key stakeholders.
Why do you want to join P&G and move to Cincinnati?
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