A webinar was organized for BCA students by the Department of Computer Application & Corporate Resource Centre, IMS Ghaziabad (University Courses Campus) on 1st September 2020. The topic of the webinar was on Machine Learning & AI. The speakers for the Seminar were Mr. Santosh Chaudhary, Mr. Anurag Dubey, Data Scientist, Nextwing Infotech Pvt Ltd andMr. Kari Narsimha Rao, HR- Manager, Nextwing Infotech Pvt Ltd.The session began with welcome of the speakers by Dr. Gagan Varshney, Chairperson-BCA.This objective of webinar was to provide insights to Artificial Intelligence and Machine Learning and some practical ways to think about how to use it in the Enterprise. Mr. Santosh Chaudhary introduced students about Data Science, Artificial Intelligence (AI) & Machine Learning and covers all essentials to become Data Scientist. He also discussed why AI/ML are hot topics right now, how hard is to learn AI and build real world AI systems. Mr. Anurag Dubey shared some case studies on how particular applications of AI are currently being used across key sectors and how machine learning can improve conversion rate, optimize performance and be used for analytics and Big Data. Mr. Kari Narsimha explained about the Job opportunities in Artificial intelligence and Machine Learning field. The webinar was full of learning and grasping for the students. This webinar was well coordinated by Mr. Mandeep Singh Rawat, Dean – Corporate Affairs and Placements.At the end of session, Dr. Alok Singh Chauhan proposed formal vote of thanks to the honorable speakers, Director (Dr. Sapna Rakesh), Chairperson (Dr. Gagan Varshney), Faculty and Students. 105 Students actively participated in this webinar.
Learning Outcome:
1. Students got an insight into career-building Machine Learning & Artificial Intelligence skills need to succeed as a data scientist.e
2. Students understood basics of Machine Learning and Artificial Intelligence and recognized the characteristics of machine learning that make it useful to real-world problems.
3. Students analyzed important historical and current trends addressing artificial intelligence and machine learning.
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