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- Teacher: MS. SHIVANI [CO]
- Teacher: Dr. Gaurav Dubey [CS]
- Teacher: MS. ARUSHI GUPTA [CS]
- Teacher: MS KALPANA SAGAR [CO]
- Teacher: MS NEHA SHUKLA [CO]
- Teacher: MR. AKASH GOEL [CS]
- Teacher: MS. ARUSHI GUPTA [CS]
Data Analytics Lab Using R

- Teacher: DR SEEMA MAITREY [CSE]
- Teacher: Latika Sharma [CSIT]
- Teacher: Mr. Deep Kumar [CSIT]
- Teacher: DR BINKEY SRIVASTAVA [MBA]
- Teacher: DR PRATEEK GUPTA [MBA]
- Teacher: Dr Reenu [MBA]
- Teacher: Sonia Deshmukh [CSIT]
Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
Recommendation engines are a common use case for machine learning. Other popular uses include fraud detection, spam filtering, malware threat detection, business process automation (BPA) and predictive maintenance.
Why is machine learning important?
Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies.

Mechanical Engineering Department
B. Tech, VIth Semester
Make-Up Examination, (2020-21) Even Semester
(NDT) (KME 061)
1. Attempt all the questions
2. The question paper consist of 50 Questions
3. The duration of question paper is 90 minutes
4. The correct question will have a weightage of +2 marks
5. wrong answer has the weightage of 0 mark
6. Unattempted question fetches zero marks
This course provide basic understandings of management processes and the concepts of organizational behaviour .Further, it helps in applying the concepts of management and organizational behaviors in real world situations. Moreover, it creates an environment to familiarizing the students with the contemporary issues in management.
