“Learn from data in iterations by using algorithm” is Machine Learning (ML). ML applications learn from experience (systematic & useful data) without programming. Such applications are designed in a way so that they Learn-> Grow-> Change-> Develop by themselves outside of human interactions. Examples: Alexa Google assistance, Self-driving Google car; Cyber fraud detection. Machines can enable all of these things by filtering useful pieces of information and combining them together based on patterns to get accurate results.
Combination of software and machinery are enabling the IT industry to turn the machine or software into a new or advanced form to make data-driven recommendations and decisions based on input data.
With the rise in technologies & interest among the masses, big corporations and tech-companies are looking for Machine Learning engineers who can understand & optimize to benefit the Industry. Machine Learning can be the key to unlocking the value of corporate and customer data and enacting decisions that keep a company ahead of the competition.
With new technologies and innovations in the market, any field, be it logistics, manufacturing, real estate, energy & utilities, financial services, life-sciences etc., will soon face a shortage of qualified / skilled workers (employees).
To achieve success not just in their professions but also in their personal well-being and development, everyone has a major role to play in bridging the skills shortage and advancing their learning process. The one who has a “strong commitment” to lifelong learning, definitely grows. The Industries are preparing themselves in different way of working to set a really strong platform to succeed, looking at ways to adapt and letting their employees know about the changes and hence preventive actions in terms of up-skilling/ re-skilling.
Although, companies are investing heavily on their employees to upskill them so as to increase productivity and survive in high competition, still some prefer to do that on their own privately. Ultimately the result is – it boosts the employability and enhances competency for sure.
The same applies to academicians. The moment teachers go away with technology trends, he/she becomes outdated and fail to connect with their students. The faculties have a very strong impression on the students, so when the teacher is well versed with the new technologies, students will automatically do the vice-versa to succeed in the modern digital world.
The terms up-skilling, re-skilling, down-skilling are the latest buzzwords not only for industries and companies, but are hot buzzwords in academia too.