LPU provides in-demand minors to its students, equipping them with at least one vital skill by the time interviews for internships or placements arrive, and Machine Learning is one of them. Coined in 1959, intensive research on Machine learning began in the 1970s and the 80s, which eventually gave rise to the form of Machine Learning that we see today.
Let us start by getting a brief overview of Machine learning.
What is Machine Learning?
Machine learning, popularly shortened as ML, is a branch of Artificial Intelligence concerned with the study and development of algorithms that enable the system to learn and improve their efficiency of performing a task by learning from their previous experiences without being exclusively programmed to do so.
Directed towards bridging the gap between humans and machines based on learning, ML started with simple chores such as pattern recognition and now can perform complex tasks like personal recommendations and future predictions. Video streaming platforms, self-driven cars, fraud detection, and preventing identity theft also use ML regularly.
Machine Learning Engineering Minor in LPU:
Starting from the 5th semester, all the 700 students allotted a seat in this minor will have to study four courses:
INT246: Soft Computing Techniques
INT247: Machine Learning Foundation
INT417: Machine Learning Algorithm
INT248: Advanced Machine Learning
Covering only one course in the 5th semester, students need to complete two courses in the 6th semester and the last in the 7th semester. Apart from being a software developer and software engineer, being an expert in ML will also open career opportunities such as Business Intelligence Developer, Data Scientist, and Computational Linguist.
Demands in the Industry
Philosophers say, “Learning is a continuous process.” It holds in the case of computers too. As more and more focus, resources and facilities are diverted towards automation these days, the demand for ML professionals is on the rise. All supervised, unsupervised, semi-supervised, and reinforcement ML, the four categories of ML, have enabled the domain to spread its web across the various field. Be it in the finance for prediction of the market growth rate, in healthcare to devise proper treatment strategies, ML is everywhere.
Some other job sectors where ML engineers are in demand include social media, language translation, text generation, and retail. In fields where dynamic pricing in ticket booking, logistics, robotics, automation, forecasting, and production need to be taken care of, ML comes to the rescue. According to Indeed, the demand for ML Engineers from 2015 till 2018 has seen an exponential increase of a whopping 344%.
What is the payoff of being an ML engineer in India? Holding a resume capable of providing you with a ML Engineering job in India will allow you to draw a salary somewhere between 3.14 LPA at the base to 16.16 LPA at the top, with the average being 7.8 LPA.