Good for starting the career.
None of it to mention
It was quite easy. HR-type questions were asked. Just do well in the aptitude section; they might filter students even after the interview. He was really friendly. He introduced himself and asked me to introduce myself.
Nice interview. Lot of questions on machine learning basics: bias, variance, gradient descent, artificial neural networks, deep neural networks, support vector machines, k-nearest neighbors, bias-variance tradeoff, linear regression, logistic regress
Three rounds, with questions from all aptitude, technical, and behavioral areas. There were also some general questions on how the professional environment will look like, the importance of a flexible work culture, sometimes extending work time, and
It was quite easy. HR-type questions were asked. Just do well in the aptitude section; they might filter students even after the interview. He was really friendly. He introduced himself and asked me to introduce myself.
Nice interview. Lot of questions on machine learning basics: bias, variance, gradient descent, artificial neural networks, deep neural networks, support vector machines, k-nearest neighbors, bias-variance tradeoff, linear regression, logistic regress
Three rounds, with questions from all aptitude, technical, and behavioral areas. There were also some general questions on how the professional environment will look like, the importance of a flexible work culture, sometimes extending work time, and