Browse through our curated collection of machine learning interview questions.
Explain the different types of gradient descent algorithms and their trade-offs, highlighting their theoretical background and practical applications.
36 views
Explain the differences between linear regression and logistic regression, focusing on their objectives, assumptions, and the types of problems they are best suited to solve.
57 views
Can you explain the K-means clustering algorithm, including its step-by-step process, limitations, and practical applications? Additionally, when would K-means be the most appropriate choice for clustering data?
27 views