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 …
Important Questions
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 …
MLT Unit 1 Part 3 Introduction
Que1.12. What are the advantages and disadvantages of different types of machine literacy algorithms? Answer Advantages of a supervised machine …
MLT Unit 1 Part 2 Introduction
Que1.6. Write short note on well defined literacy problem with illustration. Answer Well defined literacy problem A computer program is …