If you can, answer the question below: Write your answer in the comment box. What is Amazon Native AI/ML service called?
Category: Introduction to Machine Learning
Introduction to Machine Learning
Sep 20
Did you ever work with Sage Maker?
If you can, answer the question below: Write your answer in the comment box. Did you ever work with Sage Maker?
Sep 20
What are some core and common challenges in Machine Learning?
If you can, answer the question below: Write your answer in the comment box. What are some core and common challenges in Machine Learning?
Sep 20
Do you assume that corporate leaders always can ask interesting questions that ML can answer?
If you can, answer the question below: Write your answer in the comment box. Do you assume that corporate leaders always can ask interesting questions that ML can answer?
Sep 20
What is entropy in decision tree?
If you can, answer the question below: Write your answer in the comment box. What is entropy in decision tree?
Sep 20
What is the assumption of the Input in Naive Bayes?
If you can, answer the question below: Write your answer in the comment box. What is the assumption of the Input in Naive Bayes?
Sep 20
What is Regression? When do we use Regression? Is Regression a Learning? i.e. a Machine Learning?
If you can, answer the question below: Write your answer in the comment box. What is Regression? When do we use Regression? Is Regression a Learning? i.e. a Machine Learning?
Sep 20
What are the differences between k-nearest neighbor and k-means clustering?
If you can, answer the question below: Write your answer in the comment box. What are the differences between k-nearest neighbor and k-means clustering?
Sep 20
Are k-nearest neighbor and k-means clustering both supervised and/or unsupervised?
If you can, answer the question below: Write your answer in the comment box. Are k-nearest neighbor and k-means clustering both supervised and/or unsupervised?
Sep 20
How is the computational complexity of k-nearest neighbor and k-means clustering? Are they do once and use always solution?
If you can, answer the question below: Write your answer in the comment box. How is the computational complexity of k-nearest neighbor and k-means clustering? Are they do once and use always solution?
