MIT scientist shares insights

Dr. Kalyan said Machine Learning and predictive models are traditionally created by human scientists by generating feature metrics and the generated models are deployed to address various business requirements.

By Author  |  Published: 4th Dec 2017  12:05 amUpdated: 4th Dec 2017  12:13 am
MIT
Dr. Kalyan Veeramachaneni interacting with students of ICFAI Deemed University

Hyderabad: ICFAI Foundation for Higher Education (IFHE), deemed to be University of ICFAI organised a lecture on ‘Big Data and Artificial Intelligence’. Dr Kalyan Veeramachaneni, Principal Research Scientist at the Laboratory for Information and Decision System (LIDS), Massachusetts Institute of Technology delivered the lecture. He shared his experiences about Big Data, Machine Learning, and Artificial Intelligence with the students.

Dr. Kalyan said Machine Learning and predictive models are traditionally created by human scientists by generating feature metrics and the generated models are deployed to address various business requirements. He stated that automating the process of creating the models, proved a time-saving initiative.

Referring to a competition in Machine Learning algorithms, against the human scientists, Dr Kalyan shared that results were encouraging in terms of speed as well as accuracy. He urged students to try implementing Machine Learning models using available data sets and freeware tools online. Elaborating on the process of Machine Learning, Dr. Kalyan said, “Data sets can be used for multiple functions and extra value can be extracted through careful planning of four stages viz. Collecting, Feature Engineering, Modeling and Deploying.”

He also spoke about his startup PatternEx, which essentially monitors traffic between client query and the database. Replying to a query, he said, “Still we are much away from reaching a place where machine learning replaces complete human involvement”.