Shaique Hossainshaique7.hashnode.dev·Apr 30, 2024Bayes' Theorem in AI (Artificial Intelligence)Bayes' Theorem is a fundamental concept in probability theory and artificial intelligence. It describes the probability of an event based on prior knowledge of conditions related to the event. Mathematically, it is represented as: [ P(A \mid B) = \fr...Discuss#BayesTheorem
Yash Ambekaryashambekar.hashnode.dev·Jun 29, 2023Conditional Probability, Bayes Theorem and Chain Rule of Probability.Conditional probability provides us with a way to reason about the outcome of an experiment, based on partial information. Suppose we know that the outcome is within some given event B. We wish to express the likelihood that the outcome also belongs...Discussprobability
Rhythm Rawatrhythmblogs.hashnode.dev·May 30, 2023Probability for Machine Learning:Bayes TheoremHi techie, hope you're doing great. Previously we've covered the Machine Learning algorithms series (supervised and unsupervised). From this blog, we will be starting the "Probability for Machine Learning series" where we'll be covering probability c...Discuss·77 readsprobability
Dharshini Sankar Rajdharshinisankarraj.hashnode.dev·Feb 21, 2023Class Conditional Independence - Naive Bayes ClassifierA set of straightforward probabilistic classifiers known as the Naive Bayes classifier are based on Bayes' theorem and assume high feature independence. The probability of an event occurring in relation to the probability of another event that has al...Discuss·27 readsData Science
Md.Anisur Rahmananisurrahmansblog.hashnode.dev·Feb 2, 2023Naive Bayes TheoremPros: The theorem is very crucial for computationally intensive problems, handling missing data or irrelevant features Cons: As the algorithm assumes that the feature or relation between variables are independent it sometimes cause inaccuracy as in r...Discuss·26 readsMachine Learning
