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- …
MLT Unit 2 Part 1 Regression & Bayesian Learning
Que2.7. Explain how the decision error for Bayesian bracket can be minimized. Answer 1. Bayesian classifier can be made optimal …
MLT Unit 1 Part 5 Introduction
Que1.25. Compactly explain the issues related with machine literacy. Machine Learning ways 1 – 25 L( CS/ IT- Sem- 5) …
MLT Unit 1 Part 4 Introduction
Que13.17. What are the colorful clustering ways? Answer 1. Clustering ways are used for combining observed exemplifications into clusters or …