Crack the Machine Learning Coding Questions

Review these Algorithms and Their Code Before Your Next Machine Learning Interview

Machine learning questions are an essential part of every data science and AI-related position interview. These questions can be categorized into 4 categories. These categories are:

• Machine learning basics
• Resume-Based Machine Learning Questions
• Machine Learning Coding Questions
• Applied Machine Learning Problems

Machine learning coding questions will not only evaluate whether you understand the theory of a certain machine learning algorithm but also whether you are able to code up an algorithm from scratch in a short amount of time or not. Typically the interviewer will ask you to implement a certain machine learning algorithm using an online ide or on a whiteboard during the interview.

This might seem overwhelming because there are so many machine learning algorithms and each has a unique implementation but don’t worry there are only a limited number of algorithms that appear in interviews. Since there are algorithms that are too complicated to implement within one hour and it does not make much sense to test them during interviews which are

• Supervised learning algorithms: linear and logistic regression, and the k nearest neighbors.
• Unsupervised learning algorithms: the only algorithm that is asked…