Twimbit Machine Learning Engineer interview questions

The initial 15 minutes is regarding the resume so make sure you know all the points you mentioned in the resume. Here are the following questions that were asked during the Interview: Choosing the right metric for a given situation and explaining your reasoning. Finding the optimal number for K in K-means clustering. Dealing with class imbalance in a dataset. Identifying and debugging model overfitting and underfitting. Explain transformer-based models and their advantages over RNNs and LSTMs. Describe convolutional neural networks (CNNs). Handling increased traffic in a cloud environment. Optimizing models for deployment. Easy Python coding exercise with internet access.