Explain me what is Bayes' Theorem? How is it useful in a machine learning context?
Submitted by: MuhammadBayes' Theorem gives you the posterior probability of an event given what is known as prior knowledge.
Mathematically, it's expressed as the true positive rate of a condition sample divided by the sum of the false positive rate of the population and the true positive rate of a condition. Say you had a 60% chance of actually having the flu after a flu test, but out of people who had the flu, the test will be false 50% of the time, and the overall population only has a 5% chance of having the flu. Would you actually have a 60% chance of having the flu after having a positive test?
Bayes' Theorem says no. It says that you have a (.6 * 0.05) (True Positive Rate of a Condition Sample) / (.6*0.05)(True Positive Rate of a Condition Sample) + (.5*0.95) (False Positive Rate of a Population) = 0.0594 or 5.94% chance of getting a flu.
Submitted by: Muhammad
Mathematically, it's expressed as the true positive rate of a condition sample divided by the sum of the false positive rate of the population and the true positive rate of a condition. Say you had a 60% chance of actually having the flu after a flu test, but out of people who had the flu, the test will be false 50% of the time, and the overall population only has a 5% chance of having the flu. Would you actually have a 60% chance of having the flu after having a positive test?
Bayes' Theorem says no. It says that you have a (.6 * 0.05) (True Positive Rate of a Condition Sample) / (.6*0.05)(True Positive Rate of a Condition Sample) + (.5*0.95) (False Positive Rate of a Population) = 0.0594 or 5.94% chance of getting a flu.
Submitted by: Muhammad
Read Online Machine Learning Engineer Job Interview Questions And Answers
Top Machine Learning Engineer Questions
☺ | Tell us what is the difference between supervised and unsupervised machine learning? |
☺ | Tell us when will you use classification over regression? |
☺ | Can you name some feature extraction techniques used for dimensionality reduction? |
☺ | Tell me how does deep learning contrast with other machine learning algorithms? |
☺ | Tell us how do bias and variance play out in machine learning? |
Top Best Engineering Categories
☺ | Mechanical Engineering Interview Questions. |
☺ | Civil Engineering Interview Questions. |
☺ | Chemical Engineering Interview Questions. |
☺ | Electrical Engineering Interview Questions. |
☺ | Automobile Engineering Interview Questions. |