Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. It uses pattern recognition and computational learning theory to study and develop algorithms (which can learn from the sets of available data), on the basis of which it takes decisions. Machine learning techniques help the system take decisions on the basis of training data in dynamic or uncertain situations. Machine Learning also includes different types of learning such as supervised learning, unsupervised learning and reinforcement learning etc.
Machine Learning and AI will create 2.3 million jobs by 2020, according to a recent report from Gartner. LinkedIn’s 2017 U.S. Emerging Jobs Report shows there are 9.8 times more Machine Learning Engineers working today than five years ago with 1,829 open positions listed on their site as of early 2018. Both Data Science and Machine Learning are generating more jobs than candidates right now, making these two areas the fastest growing tech employment areas today. Machine Learning jobs in demand include research and development of algorithms that are used in adaptive systems.
There are vast applications in computer science for Machine Learning. In Amazon Website, ML scientists build methods for predicting product suggestions and product demand and explore Big Data to automatically extract patterns. The examples of machine Learning include Automated Vehicle system, playing a game against the second player in gaming applications etc.

Available Career Options

The future of Machine Learning looks promising. There is an urgent need for professionals who are trained and placed in Machine Learning, Deep Learning, and AI jobs. Companies recruit for positions like Machine Learning Engineer, Machine Learning Analyst, NLP Data Scientist, Data Sciences Lead, Machine Learning Scientist etc.

The career path initially starts as a Machine Learning Engineer, who will be developing applications that perform some common tasks done by human beings and this will be used for repeated things which will perform without any errors and produces effective results.
A Machine Learning Engineer role will be followed by the Architect level position in. The next level of a career path in Architect level will be of some role to design and develop the prototypes for the applications to be developed.
Even a software engineer with some years of experience can switch their careers in Machine Learning area. A Python Developer or a data scientist can also easily switch careers in Machine Learning.
Persons even without any experience in software engineering can also start their career in Machine Learning if they have some string knowledge in computer science, mathematics, statistics etc.

In the area of Machine Learning, there are different roles available in the information technology industry to pursue the career are such as Machine Learning Engineer, Senior Machine Learning Engineer, Lead Machine Learning Engineer, Machine Learning Engineer Front Office and Back office, Principal Engineer – Machine Learning, Machine Learning Software Engineer, Data Scientist, Senior Data Scientist, Data Scientist IT, Senior Data Scientist IT etc. The Machine Learning Engineer possesses some strong core knowledge of Computer Science concepts, a solid Mathematics background with Statistics as well.
If you want to be one of those professionals, prepare yourself by getting certified and industry-ready because this is the right time to move into Machine Learning and excel in this area.

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