1. Describe your academic background and projects you have worked on. 2. If you have to classify if a bone is fractured or not, what would you do? Explain your approach. 3. What is Region of Curve, this is actually ROC-AUC, just a different terminology used for the same. 4. Explain the confusion matrix and its corresponding terminologies. 5. Would you have to make any changes to the above Model after 6 months? 6. Any projects on Unsupervised learning?
How would your friends describe you?
4. Difference between convolutional neural network and multilayer perceptron.
3. What is forward and backward propagation?
Solve a problem relating to decision tree.
The technical interview covered the following topics: - OOP - Database - Machine Learning
They asked about my previous work experiences
Given dataset and a pretrain model, do fine-tunning and show results.
Implement prefix tree
Machine Learning algorithm coding
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