Category: Introduction to Machine Learning

If you can, answer the question below: Write your answer in the comment box. Do you mix test data with training data at all – at any time?

If you can, answer the question below: Write your answer in the comment box. What is MLOps?

If you can, answer the question below: Write your answer in the comment box. How do Tensorflow- PyTorch- MXNet differ from AWS SageMaker?

If you can, answer the question below: Write your answer in the comment box. What are some components and/or steps in AWS Sagemaker?

If you can, answer the question below: Write your answer in the comment box. Sagemaker build- Sagemaker Train- Sagemaker deploy: what are these?

If you can, answer the question below: Write your answer in the comment box. Do boosting Bagging and Stacking relate to only one algorithm such as Decsion tree? How or how not?

If you can, answer the question below: Write your answer in the comment box. What do we achieve with boosting Bagging and Stacking?

If you can, answer the question below: Write your answer in the comment box. 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.

If you can, answer the question below: Write your answer in the comment box. Will you invest too much time to select the best algorithm?

If you can, answer the question below: Write your answer in the comment box. What are some practical tools used for machine learning and related?