Microsoft Research Data Scientist Interview Questions and Answers

Data science is the field of extracting insights and knowledge from data using various techniques and tools.

• Data science involves collecting, cleaning, and analyzing data to extract insights.

• It uses various techniques such as machine learning, statistical modeling, and data visualization.

• Data science is used in various fields such as finance, healthcare, and marketing.

• Examples of data science applications include fraud...read more

Python and R are programming languages commonly used in data science and statistical analysis.

• Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

• R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

• Both languages are popular choices for data scientists and hav...read more

There are several algorithms used for classification, including decision trees, logistic regression, k-nearest neighbors, and support vector machines.

• Decision trees: a tree-like model where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label

• Logistic regression: a statistical method that uses a logistic function to model a bina...read more

I have worked on various projects involving machine learning algorithms, hyperparameter tuning, cross validation, and evaluation metrics.

• Developed a predictive model for customer churn using logistic regression and decision trees

• Used random forest algorithm for image classification in a computer vision project

• Implemented hyperparameter tuning using grid search and randomized search for a sentiment analysis project

• Evalu...read more