What are Bayesian Networks (BN) ?
Answer / Navraj Singh Dharmshktu
Bayesian Networks, also known as Belief Networks, are a probabilistic graphical model that represents a set of variables and their conditional dependencies using directed acyclic graphs. They are used to perform probabilistic reasoning and make decisions under uncertainty.
| Is This Answer Correct ? | 0 Yes | 0 No |
Why is harmonic mean used to calculate f1 score and not the arithmetic mean?
Tell me what is the difference between bias and variance?
What is the convex hull?
What is the classification threshold in machine learning?
What is sequence classification?
Is naive bayes supervised learning?
When should one use mean absolute error over root mean square error as a performance measure for regression problems?
What is dimensionality reduction?
What is the bias-variance decomposition of classification error in the ensemble method?
What do you think of our current data process?
What is dimension reduction in Machine Learning?
Why overfitting happens?
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)