Describe an ML algorithm you used in your past projects.
Learning Developer Interview Questions
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Tell me about your previous jobs
Describe a conflict you had.
Basics of Machine Learning, Resume details
1. Difference between Linear and Logistic Regression 2. SVM 3. CNN, Max Pooling 4. Losses and Optimizers
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?
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