A subset of AI (Artificial Intelligence), Machine Learning provides learning of scientific algorithms and statistical models, which enables the computer systems to learn, improve and perform a task effectively without being explicitly programmed. ML learn from experience and are programmed to understand Natural Learning Processes to understand human interaction.
Machine Learning algorithms work on a mathematical model based on all the training data and experience it has collated to form predictions/decisions. The tasks are classified into three broad categories.
The core objective of Machine Learning is to come up with generalized prediction from its gathered experience/knowledge. It is one of the most exciting technologies of Industry 4.0 revolution. Although still in its neonatal stage, in future, Machine Learning in network and service management is expected to become a common occurrence.
A joint venture between Jain University and the experts at Wiley, this B.Tech (Computer Science & Engineering) in Machine Learning course is a part of Jain University’s gamut of new technology driven courses.
What’s in it for the students?
The course is structured as a global B.Tech program where the students will have a study abroad option* in Semesters 4, 7 and 8 at the University of California Riverside (which is ranked amongst the top universities in the USA).
The program also awards additional credits for the Micromasters Certificate in Artificial Intelligence from Columbia University. Students who successfully complete these micromasters will be eligible for exemption in 7.5 credits out of 30 credits required for a Masters in Computer Science from Columbia University.
Furthermore, in line with the vision of Jain (Deemed-to-be-University), the course integrates certifications from Harvard Business Publishing, and combines the power of technology with the spirit of entrepreneurship to get you on the right track to become a new-age “technopreneur”.
Author - Neeti Mehta Shukla
Co-Founder, Senior Vice President – Automation Anywhere