The most comprehensive bank Interview Answer Review tooling available online.

Talk about any machine learning models you had experienced with and explain them

Architect a multi-user document editing service like Google Docs.

How would you define k-means clustering and its likelihood of achieving a global optimum? Proceed to implement it for an N*D matrix data set.

Discuss the difference between precision and recall in terms of their meaning and function in the context of classification models. Also, discuss some scenarios where these metrics may give misleading results or fail to provide useful information.

How would you describe the time complexity characteristic of SVM training? Can you describe the time complexity for the inference phase in SVMs? Can you compare the time complexities for training and inference in SVMs with linear and RBF kernels?

In determining how well a model is performing, the AUC is an essential metric. Could you explain the process of calculating the AUC for a model?

Design a cloud-based key-value store with distributed architecture.

What's your strategy for generating an array that shows the count of mines surrounding each spot on a minesweeper map?

Has supervised machine learning ever been problematic for you and if so, how did you address those challenges?

How does a typical ML project unfold, from the initial planning to the final delivery?