BCS602 – Machine Learning Solved Super Important Questions

Module 1

1] Explain the need for Machine Learning in modern organizations. What factors have contributed to its growing popularity?

2] What is Machine Learning? Explain how it differs from traditional programming. Discuss the process of learning in humans and machines with the help of examples.

3] Explain how Machine Learning is related to other major fields [or] Define Machine Learning. Explain its relationship to other fields with diagram

4] Explain different types of machine learning with a diagram

5] Explain the challenges of Machine learning. [or]Explain the major challenges faced in the implementation of Machine Learning systems.

6] Explain the Machine Learning Process model/ Data Mining Process. (with the help of CRISP-DM model.)

7] List and explain any four real-world applications of Machine Learning.

8] Define data. Explain the 6 V’s of Big Data. / Elements of Big Data

9] What is Big Data Analytics? Explain the types of data analytics and the Big Data Analytics Framework.

10] Explain data preprocessing with an example. / Explain data collection and data preprocessing in big data analytics. Also describe different data cleaning and normalization techniques.

11] What is Descriptive Statistics? Explain different types of data with examples.