What criteria do you use to assess product design quality?

What key factors do you consider when developing product roadmaps?

What are the key differences between supervised, unsupervised, and reinforcement learning in machine learning?

What is overfitting in machine learning, and what strategies can be used to prevent it?

What is cross-validation, and what is its purpose in model evaluation?

What are the key steps in a typical machine learning project?

What are the key differences between classification and regression in machine learning?

What is feature scaling, and what are common techniques used?

What is the significance of the learning rate in training machine learning models?

What is regularization in machine learning, and why is it important?

What are the key differences between L1 and L2 regularization in machine learning?

Explain the k-nearest neighbors (KNN) algorithm and its practical applications in machine learning

What are support vector machines (SVM), and how do they function in machine learning?

Explain the random forest algorithm and its key advantages

What are the key differences between bagging and boosting in ensemble learning?