IIT Kanpur MBA Blog

The flagship event of the 6 th edition of Prabandhan, presented by Department of Industrial Management and Engineering, Reflections was nothing short of delightful. Upon the scene of the setting sun,   The event opened with an environment of tense expectations, keeping the audience on their toes with complete attention on the dais. Reflections saw participation of 6 eminent personalities and thought leaders of their respective industries in Mr. Sreeji Gopinathan from Reckitt Benckiser, representing the FMCG industry, Mr. Utsav Rawat from Novartis representing HealthCare and the Pharma industry, Mr. Satish Mittal, ex-CTO of Vodafone, heralding the telecom industry, Mr. Dinesh Modi, of Eros International representing the entertainment industry and our very own Dr. Devlina Chatterjee, an insightful member of the Department of Industrial Management and Engineering representing education and academia, moderated by Ms. Mitali Mukherjee, Co-Founder and Editor at Money Mile, a charis

The Department of Industrial and Management Engineering, IIT Kanpur had the opportunity to host a Webinar by Mr. Nitin Agarwal, Quantitative Analyst, Google. The Alumni committee of MBA holds the credit for organizing the webinar. An alumnus of MBA-IIT Kanpur, Nitin Agarwal gave a lot of insight into the world of Machine learning.   The webinar started with the speaker asking our views on Machine Learning. As he explained Machine Learning is the process of making lot of small decisions so as to get an end outcome. The basic objective of machine learning is not to memorize older data set but to recognize a pattern from the given data so as to be able to take decisions on newer data set.   This is where it differs from Statistics. While statistics draws inference answering the question “what does the data mean?”, machine learning is all about prediction, which answers the question “Does it work well?”.   So statistics describes data while machine learning takes decisions based o