Concept Interview Questions

Jake M. - "Random Forest is a machine learning model used for classification problems or regression problems. It can handle binary classification as well as multi-class classification. It is a very efficient model and is great for a baseline or used in a service that needs extremely low latency depending on the size of the model. It's also a good option for wide datasets (dataset with many features) due to it's random subset of features. it is slightly less optimized for deep datasets on very large dataset"See full answer

Archna M. - "Caching is a strategy to have the frequently accessed data in the memory to reduce the latency. whenever a client request the data from server, it is first accessed into cache and if not available then it is getting fetched from the storage and stored into cache. As cache is having limited memory, so amount of data can be stored in cache is less. Data will be flushed out from cache based on a criteria which is termed as caching strategy. There could be different mechanisms under which a data can"See full answer

Asish B. - "Number of employees after the first year = n*(1+r) = n1 Number of employees after the second year = n1(1+r) = n(1+r)**2 Hence, the number of employees after 't' years = n(1+r)*t"See full answer