Explain Naive Bayes classifier. Explain EM Algorithm Write about Q Learning algorithms Explain briefly about parallelizing genetic algorithm. Describe in detail about FOIL algorithm. What is sequential covering algorithm? Explain in detail. Illustrate remarks on Explanation Based Learning. Explain learning with domain theory. What is instance based learning? Explain k-nearest neighbor algorithm. Write about Genetic algorithms Explain briefly about hypothesis space search Define learning set rules. Explain their types. What are inductive and analytical learning. Explain PROLOG-EBG these are the questions for tomorrow examination
mam in 4th unit we have learning task concept can u make that video and non deterministic and rewards and actions and relationship to dynamic programming
your's are all videos are really helpfull but please try to teach a little bit slowly your's explaining very fast . Otherwies your's all content is awesome.
Mam jntuh exams of 3-2 Aug10th starts the ML exam in 12th mam please share PDF and share CD complier design PDF or explanation please prepare videos and upload mam gate clg