Statistics & Math: 70 Questions for Data Science and Machine Learning Interviews

Preparing for a data science or machine learning interview can be challenging, especially when it comes to statistics and math. These subjects form the foundation of algorithms, model evaluation, and data manipulation.

In this blog, we’ll walk you through 70 essential questions that cover key topics like probability, regression, hypothesis testing, and more. This guide is designed to help you gain confidence and prepare thoroughly for your next interview.

Introduction

Statistics and math are essential skills for data scientists and machine learning engineers. Whether you’re optimizing machine learning models or analyzing data distributions, a solid understanding of these topics is crucial.

In most interviews, statistics and math questions are designed to assess your ability to solve problems, make decisions under uncertainty, and evaluate models. Let’s dive into the most common types of questions you may encounter.

Basic Probability Questions

1. What is probability?

• Probability is the measure of the likelihood that an event will occur, expressed as a number between 0 and 1.