Given training data as list of tokenized words [[“I”, “am”, “a”, “person”], [“I”, “am”, “good”], [“a”, “person”]] write a predictor that predict a word’s most frequent bigram e.g. predict(“I”) -> “am” predict(“a”) -> “person predict(“am”) -> “a”
Intern Software Interview Questions
17,763 intern software interview questions shared by candidates
I am going to respect my non-disclosure agreement that I signed with Google. Just know your basic data structures, algorithms, and be prepared to think on your feet.
Write down different versions for computing the fibonacci sequence.
Sort a linked list.
Interviewer described a problem and asked to solve it on google doc.
Qual foi o seu maior desafio até agora?
One question involved building a trie data structure.
Propor métodos estatísticos para avaliar a aleatoriedade de uma solução proposta.
What are your interests, what is your experience
Traverse a matrix in a spiral pattern
Viewing 1121 - 1130 interview questions