MLT Unit 3 Part 3 Regression & Bayesian Learning
Que3.15. What are the performance confines used for instancebased literacy algorithm? Answer Performance dimension used for case- grounded literacy algorithm …
Important Questions
MLT Unit 3 Part 2 Regression & Bayesian Learning
Que3.9. Explain inductive bias with inductive system. Answer Inductive bias 1. Inductive bias refers to the restrictions that are assessed …
MLT Unit 3 Part 1 Regression & Bayesian Learning
Que3.4. Explain colorful decision tree learning algorithms. Answer colorful decision tree learning algorithms are 1. ID3( Iterative Dichotomiser 3) ID3 …
MLT Unit 2 Part 3 Regression & Bayesian Learning
Que2.23. Write short note on hyperplane( Decision face). Answer 1. A hyperplane in an n- dimensional Euclidean space is a …
MLT Unit 2 Part 2 Regression & Bayesian Learning
Que2.14. Explain EM algorithm with way. Answer 1. The Anticipation- Maximization( EM) algorithm is an iterative way to find maximum- …