MACHINE LEARNING|| CSE stream || Very Important Questions Explained with Concepts || All 5 modules || Last moment exam (BCS602) preparation
About Course
Course Content
MODULE 1
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1. What is Machine learning? Why is Machine learning need for business organization.
06:23 -
2. Difference between Supervised and Unsupervised Learning
06:17 -
3. Difference between Labelled and Unlabeled data
06:12 -
4. Explain any 6 applications of machine learning?
06:11 -
5. What are the challenges of machine learning? Explain it.
07:06 -
6. List out different types of Machine learning? Explain Supervised learning with an example.
23:07 -
8. Difference between Classification and Regression
02:18 -
9. List out and briefly explain unsupervised algorithm.
05:09 -
10. What are the key steps involved in the CRISP-DM machine learning process, and how do they contribute to building effective machine learning models?
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11. What are the four types of data analytics, and how do they differ in their approach and application?”
04:41 -
12. What are the four layers of the Big Data Analysis Framework / 4 layer architecture, and what is the role of each layer?
13:24 -
13. For a given univariate dataset S = {5, 10, 15, 20, 25, 30} of marks, find:Mean,Median,Mode Standard deviation,Variance.
10:03 -
14. What is Big Data? Explain the types of Big Data.
02:35 -
15. What is Structured Data? Explain types of it.
04:26 -
16. Explain Semi-structured and Unstructured data in detail.
06:50
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