Category: Root

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

What is Bagging?

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

Sep 20

What is Stacking?

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Sep 20

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

If you can, answer the question below: Write your answer in the comment box. What is Naive Bayes? Why is it called Naive Bayes?

Sep 20

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

If you can, answer the question below: Write your answer in the comment box. Does Naive Bayes uses Conditonal Probability? If so how and why?

Sep 20

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

If you can, answer the question below: Write your answer in the comment box. Bias and Variance in the data and corresponding effect. Can you explain that?

Sep 20

What is VC dimension?

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

Sep 20

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

If you can, answer the question below: Write your answer in the comment box. Bias and Variance in the prediction and corresponding effect. Can you explain that?