question stringlengths 11 711 | domain stringclasses 8
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|---|---|---|---|---|---|---|
derive the maximum likelihood estimator for logistic regression. | Data Science | Google | null | no | no | 0 |
describe a past project you worked on. | All | Google | null | no | no | 1 |
describe to me how pca works. | Data Science | Google | null | no | no | 0 |
do you prefer working in small or large teams? | All | Google | null | no | no | 0 |
explain a probability distribution that is not normal and how to apply that. | Data Science | Google | null | no | no | 0 |
explain the difference between supervised learning and unsupervised learning. | Data Science | Google | null | no | no | 0 |
for sample size n, the margin of error is 3. how many more samples do we need to make the margin of error 0.3? | Data Science | Google | null | no | no | 0 |
given a list of characters, a list of prior probabilities for each character, and a matrix of probabilities for each character combination, return the optimal sequence for the highest probability. | Data Science | Google | null | no | no | 0 |
given a list of numbers, calculate the sum of the odd numbers in the sequence of 100 numbers. | Data Science | Google | null | no | no | 0 |
given data from two product campaigns, how could you do an a/b test if we see a 3% increase for one product? | Data Science | Google | null | no | no | 0 |
given there are no metrics being tracked for google docs, a product manager comes to you and asks, what are the top metrics you would want to track? | Data Science | Google | null | no | no | 0 |
given three columns of data, how would you compare the first three to the last three? | Data Science | Google | null | no | no | 0 |
given uniform distributions x and y and the mean 0 and standard deviation 1 for both, whats the probability of 2x > y? | Data Science | Google | null | no | no | 0 |
how do you calculate the median for a given column of numbers in a data set? | Data Science | Google | null | no | no | 0 |
how do you code the simulation model to get the probabilities of a given scenario? | Data Science | Google | null | no | no | 0 |
how do you detect viruses or inappropriate content on youtube? | Data Science | Google | null | no | no | 0 |
how do you invert a binary tree? | Data Science | Google | null | no | no | 0 |
how do you sort your priorities when engaged in multitasking? | Data Science | Google | null | no | no | 1 |
how is this job aligned with your objectives? | All | Google | null | no | no | 1 |
how make an unfair coin fair? | Data Science | Google | null | no | no | 0 |
how would you compare if upgrading the android system produces more searches? | Data Science | Google | null | no | no | 0 |
how would you evaluate the performance of a machine learning algorithm? | Data Science | Google | null | no | no | 0 |
how would you find the top 5 highest-selling items from a list of order histories? | Data Science | Google | null | no | no | 0 |
how would you measure the time spent in google search per day per user? | Data Science | Google | null | no | no | 0 |
how would you optimize a database query? | Data Science | Google | null | no | no | 0 |
how would you remove bias and make inferences from data about two ad campaigns? | Data Science | Google | null | no | no | 0 |
i have a deck and take one card at random. what is the probability you guess it right? | Data Science | Google | null | no | no | 0 |
if the average searches per day per user data goes down, but the average searches per country goes up, how would you explain it? | Data Science | Google | null | no | no | 0 |
if two predictors are highly correlated, what is the effect on the coefficients in the logistic regression? | Data Science | Google | null | no | no | 0 |
in what situation would you consider mean over median? | Data Science | Google | null | no | no | 0 |
is it good or bad if you apply bootstrapping on samples to increase your sample size? | Data Science | Google | null | no | no | 0 |
predict some metrics using regression. | Data Science | Google | null | no | no | 0 |
the outcome of an experiment is that 5% of one group clicks more. is that a good result? | Data Science | Google | null | no | no | 0 |
there are four people in an elevator and four floors in a building. whats the probability that each person gets off on a different floor? | Data Science | Google | null | no | no | 0 |
what are some ways to effectively reduce the dimensionality of a data set? | Data Science | Google | null | no | no | 0 |
what are the confidence intervals of the coefficients? | Data Science | Google | null | no | no | 0 |
what are the features that affect the performance of the model? | Data Science | Google | null | no | no | 0 |
what does a google Data Science do? | Data Science | Google | null | no | no | 0 |
a team wants to a/b test multiple different changes through a sign-up funnel. they want to see if changing a button from red to blue and/or from the top of the page to the bottom of the page will increase click-through. how would you set up this test? | Data Science | IBM | null | no | no | 0 |
are expected value and mean value different? | Data Science | IBM | null | no | no | 0 |
can you describe some features of restful web services? | Data Analytics | IBM | null | no | no | 0 |
can you differentiate between r squared and adjusted r squared? | Data Analytics | IBM | null | no | no | 0 |
can you explain a complex statistical concept in laymans terms? | Data Science | IBM | null | no | no | 1 |
can you explain the difference between ai, machine learning, and Machine Learning? | Machine Learning | IBM | null | no | no | 0 |
can you share an example of a situation where you had to quickly adapt to a new technology or approach to solve a problem? | Machine Learning | IBM | null | no | no | 1 |
can you walk us through your approach to feature selection? | Data Science | IBM | null | no | no | 0 |
compare and contrast r and sas? | Data Science | IBM | null | no | no | 0 |
could you describe a project or initiative where you played a pivotal role in a team? | Machine Learning | IBM | null | no | no | 1 |
define confounding variables | Data Science | IBM | null | no | no | 0 |
define the terms kpi, lift, model fitting, robustness, and doe | Data Science | IBM | null | no | no | 0 |
describe prior projects/datasets that you worked with | Data Science | IBM | null | no | no | 1 |
differentiate between data modelling and database design? | Data Science | IBM | null | no | no | 0 |
differentiate between the long and wide format data | Data Science | IBM | null | no | no | 0 |
discuss the relevance of entropy and information gain in decision tree algorithms? | Data Science | IBM | null | no | no | 0 |
discuss the strategies for encoding a categorical variable with thousands of distinct values, considering both regression and classification models. | Data Science | IBM | null | no | no | 0 |
do you prefer r or python? | Data Analytics | IBM | null | no | no | 0 |
explain supervised and unsupervised learning. | Machine Learning | IBM | null | no | no | 0 |
explain the architecture and components of a convolutional neural network (cnn). | Machine Learning | IBM | null | no | no | 0 |
explain the concept of ensemble learning, and provide an example of how ensemble methods can be applied to improve model performance. | Machine Learning | IBM | null | no | no | 0 |
explain the different ways you know for creating dataframes in pandas? | Data Analytics | IBM | null | no | no | 0 |
explain the term botnet? | Data Science | IBM | null | no | no | 0 |
explain the trade-offs between bias and variance in machine learning models. | Machine Learning | IBM | null | no | no | 0 |
for tuning hyperparameters of your machine learning model, what will be the ideal seed? | Data Science | IBM | null | no | no | 0 |
given a boolean matrix of size rxc where each cell contains either 0 or 1, modify it such that if a matrix cell matrix[i][j] is 1 then all the cells in its ith row and jth column will become 1 | Data Science | IBM | null | no | no | 0 |
given a dictionary with weights, how do you write a function that returns a key at random with a probability proportional to the weights? | Machine Learning | IBM | null | yes | no | 0 |
given a dictionary with weights, write a function that returns a key at random with a probability proportional to the weights. | Machine Learning | IBM | null | yes | no | 0 |
given a list of integers, how can you write a function gcd to find the greatest common denominator between them? | All | IBM | null | yes | no | 0 |
given a number n. find the minimum number of operations required to reach n starting from 0. you have 2 operations available: a. double the number b. add one to the number | Data Science | IBM | null | no | no | 0 |
given an employees table, how can you write an sql query to get the total salary of all employees? | Data Science | IBM | null | no | no | 0 |
given that x and y are independent random variables with normal distributions, what is the mean and variance of the distribution of 2xy when the corresponding distributions are xn(3,4) and yn(1,4)? | Machine Learning | IBM | null | no | no | 0 |
given two sorted lists, how can you write a function to merge them into one sorted list? | Data Science | IBM | null | yes | no | 0 |
given two strings a and b, write a function to return whether a can be shifted some number of places to get b. | Machine Learning | IBM | null | yes | no | 0 |
given two strings, string1 and string2, write a function str_map to determine if there exists a one-to-one correspondence (bijection) between the characters of string1 and string2. | Data Analytics | IBM | null | yes | no | 0 |
how about your greatest weakness? | Data Analytics | IBM | null | no | no | 1 |
how are the time series problems different from other regression problems? | Data Science | IBM | null | no | no | 0 |
how can ai impact society? | Machine Learning | IBM | null | no | no | 1 |
how can we check if string b is a shifted version of string a? | Machine Learning | IBM | null | no | no | 0 |
how can you assess a good logistic model? | Data Science | IBM | null | no | no | 0 |
how can you iterate over a list and also retrieve element indices at the same time? | Data Science | IBM | null | no | no | 0 |
how can you select k for k-means? | Data Science | IBM | null | no | no | 0 |
how can you write a function compute_deviation that takes in a list of dictionaries with a key and list of integers and returns a dictionary with the standard deviation of each list? | Data Science | IBM | null | yes | no | 0 |
how did you choose the parameters? | Data Science | IBM | null | no | no | 0 |
how did you overcome those challenges? | Data Science | IBM | null | no | no | 0 |
how do you approach solving a new problem with ai? | Machine Learning | IBM | null | no | no | 0 |
how do you approach solving any data analytics-based project? | Data Science | IBM | null | no | no | 0 |
how do you clean the data? | Data Science | IBM | null | no | no | 0 |
how do you deal with a missing value | Data Science | IBM | null | no | no | 0 |
how do you deal with messy data? | Data Analytics | IBM | null | no | no | 0 |
how do you detect outliers in a dataset? | Data Science | IBM | null | no | no | 0 |
how do you explain technical concepts to a non-technical audience? | Data Analytics | IBM | null | no | no | 0 |
how do you find and remove duplicate data? | Data Analytics | IBM | null | no | no | 0 |
how do you handle imbalanced data? | Data Science | IBM | null | no | no | 0 |
how do you implement fibonacci in python? | Data Science | IBM | null | no | no | 0 |
how do you interpret the logistic regression coefficients when handling categorical variables and boolean features? | Data Analytics | IBM | null | no | no | 0 |
how do you keep up with the rapidly evolving field of ai? | Machine Learning | IBM | null | no | no | 1 |
how do you present your findings to management? | Data Analytics | IBM | null | no | no | 1 |
how do you validate the svm choice? | Machine Learning | IBM | null | no | no | 0 |
how does Machine Learning (nlp) work? | Machine Learning | IBM | null | no | no | 0 |
how does one test the models performance using the selected features and then iteratively refine the feature set based on performance metrics such as accuracy, precision, recall, or f1-score? | Data Science | IBM | null | no | no | 0 |
how have you used All for data analysis in the past? | Data Analytics | IBM | null | no | no | 0 |
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