What is bayes' theorem?
Answer / Saurbh Kumar Chaubey
Bayes' theorem is a fundamental concept in probability theory. It describes the probabilistic relationship between an event and its possible causes, stating that the probability of an event (A) given a cause (B) can be calculated as the product of the prior probability of the cause (P(B)) and the conditional probability of the event given the cause (P(A|B)), divided by the total probability of the cause (P(B)).
| Is This Answer Correct ? | 0 Yes | 0 No |
Give a popular application of machine learning that you see on day to day basis?
What is ROC curve and what does it represent?
Define a fourier transform?
How does a classifier work?
Explain why Navie Bayes is so Naive?
What is the bias in machine learning?
Why is it important for the royal society to be doing a project about machine learning?
What is optimization in ML?
What’s your favorite algorithm, and can you explain it to me in less than a minute?
Choose any machine learning algorithm and describe it.
Explain the difference between bayes and naive bayes?
What do you think of our current data process?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)