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Do you mix test data with training data at all - at any time?

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What do we achieve with boosting Bagging and Stacking?

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In real-life: will you choose the best algorithm? or you can just use the most familiar algorithm to you. What are the pros and cons.

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What is MLOps?

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How do Tensorflow- PyTorch- MXNet differ from AWS SageMaker?

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What are some components and/or steps in AWS Sagemaker?

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Sagemaker build- Sagemaker Train- Sagemaker deploy: what are these?

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Do boosting Bagging and Stacking relate to only one algorithm such as Decsion tree? How or how not?

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What are some practical tools used for machine learning and related?

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What is Amazon Native AI/ML service called?

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Did you ever work with Sage Maker?

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Will you invest too much time to select the best algorithm?

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What are some core and common challenges in Machine Learning?

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Do you assume that corporate leaders always can ask interesting questions that ML can answer?

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What is Regression? When do we use Regression? Is Regression a Learning? i.e. a Machine Learning?

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What are the differences between k-nearest neighbor and k-means clustering?

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Are k-nearest neighbor and k-means clustering both supervised and/or unsupervised?

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How is the computational complexity of k-nearest neighbor and k-means clustering? Are they do once and use always solution?

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If the Data Changes i.e. new data comes what happens to k-nearest neighbor and k-means clustering?

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What is a decision tree?

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What is entropy in decision tree?

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What is the assumption of the Input in Naive Bayes?

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What is Bagging?

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What is Stacking?

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What is Naive Bayes? Why is it called Naive Bayes?

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Does Naive Bayes uses Conditonal Probability? If so how and why?

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Bias and Variance in the data and corresponding effect. Can you explain that?

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What is VC dimension?

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Bias and Variance in the prediction and corresponding effect. Can you explain that?

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What do desire in bias and variance in the prediction. Answer in terms of High and Low.

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What are some core and/or popular Machine Learning Algorithms.

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What is boosting?

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What is Semi-Supervised Machine Learning? Give some examples? When do we use semi-supervised Machine Learning? Best fit for what?

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What is Reinforcement Learning? Give some examples? When do we use Reinforcement Learning? Best fit for what?

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Can we do Reinforcement Learning without training step? If so how? Can you name any approach/algorithm if any in this regard?

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What do you mean by Exploration and Exploitation when it comes down to Reinforcement Learning?

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What are some important concepts to learn in Machine Learning?

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What is Machine Learning Anyway?

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What is the difference between Machine Learning and Artificial Intelligence?

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What are the different types of Machine Learning?

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What is Supervised Machine Learning? Give some examples? When do we use Supervised Machine Learning? Best fit for what?

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What is Unsupervised Machine Learning? Give some examples? When do we use Unsupervised Machine Learning? Best fit for what?