Domanda di colloquio di People Group
Questions on Time series analysis (Project based - in depth) How do you evaluate time series predictions? Explain your machine learning projects. Bias Variance Trade off. Over fitting vs Under fitting Loss function vs Cost function vs Evaluation metrics How do you prevent under fitting. How is random forest used for feature selection. Explain ensemble techniques. Why did you use the algorithms while building the model in Round 1 What is your understanding of the dataset given in Round 1 Do you know basics of deep learning How would you use ML at our company?
Risposta di colloquio
Anonimo
I answered majority of the questions asked. Explained my projects really well. On question whose anwers I wasn't sure of I was able to give my reasoning and what I believe the answer would be based the concepts I'd learnt. (Try having a discussion with the interviewer, I even asked questions when I was told my answer was incorrect as I was curious to learn) P.S. Make sure you know your basics well and I believe interviewers are looking for candidates who are willing to learn and improve.