1. Difference between Linear and Logistic Regression 2. SVM 3. CNN, Max Pooling 4. Losses and Optimizers
Machine Learning Intern Interview Questions
8,202 machine learning intern interview questions shared by candidates
asked intro, projects, ML algorithms(working and theory) like, SVM, Linear regression, random forest.
What is the difference between supervised, unsupervised, and reinforcement learning? Explain the concept of overfitting and underfitting in machine learning. What are the key steps in building a machine learning model? What is gradient descent, and why is it important in training models? Can you explain the difference between a perceptron and a neural network? What is backpropagation, and how does it help in training deep learning models?
Questions related to project, basics of machine learning
Explain why did you use the particular Machine Learning Algorithms in your project
What is Kernel in SVM model?
What are the regularisation techniques used in Regression?
What is ensemble learning ? .
What is linear regression? .
Questions related to the take home test.
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