Updated: Feb 13
What's the buzz !!
Have you ever wondered and even scared to see the browser "popping" up images of products that you have surfed. Sometimes it might have surprised you to realize that how how on earth "Alexa" reminds about the tasks that you have to make and giving you the preferences and choices that are available. Yes, it will be intriguing to underline the importance of AI & Machine Learning (ML) in all these simple,yet powerful tasks which are done with much finesse and accuracy.
So what is really Machine Learning ?
Machine learning is a subset of AI, so sometimes when we’re describing AI, we’re actually describing machine learning, which is the process by which AI learns. It's not something which is extremely new, in fact it dates back over sixty years to when Alan Turing created the ‘Turing test’ to determine whether a computer had real intelligence. Machine learning has evolved to mimic the pattern-matching that human brains perform. and today, algorithms teach computers to recognize features of an object and predict the type of object based on the "training" given.
What makes Machine Learning so important ?
Machine learning has several very practical applications that drive the kind of real business results – such as time and money savings – that have the potential to dramatically impact the future of any organization. We are witnessing tremendous impact occurring in all major industries,whereby machine learning is allowing people to get things done more quickly and efficiently. Through Virtual Assistant solutions, machine learning automates tasks that would otherwise need to be performed by a live agent – such as changing a password or checking an account balance. This eliminates the need for live human support and also allows to take decisions in lightning speed and that too for complicated problems.Faster computing solutions and powerful algorithms are the driving forces which made Machine Learning as an integral part in every walk of life.
Who can learn Machine Learning?
Machine learning is not limited to a particular domain and it is expanding its impact virtually in every sector, be it Consumer care, Manufacturing,Banking,Retail Services, Defence etc. People who are interested in working with data can take up ML and boundaries are not demarked for people who are passionate and persistent. Graduates and Diploma holders in Engineering and Science who prefer to work with data can shape an excellent career by chosing ML as an option.Researchers , post graduate students and faculty members who are planning to go for doing Ph.D work must never ignore AI&ML as it provides huge opportunities for research in many diversified areas.
Opportunities for ML professionals:
The beauty of learning ML is that it gives you a big opportunity to work with any industry and any domain where data analysis and prediction analysis is to be performed. Some of the specific jobs available are listed
Machine learning researcher
Data mining analyst
Machine learning engineer
Business intelligence (BI) developer
We, at AGSRT provide you the perfect environment to hone your skills and put you on the pedestal towards the path of success. Experts from Industry will be handling these classes and hands on practice will be provided to work on real-time projects and ensure you 100% placement.