FUTURE IN MACHINE LEARNING FOR CSE STUDENT

Our ability to learn and get better at tasks through experience is part of being human. When we are born we know almost nothing and can do almost nothing for ourselves but soon we’re learning and becoming more capable every day, but do you know that computers can do the same. Machine learning brings together statistics and computer science to enable computers to learn how to do a given task without being programmed to do so. Just as your brain uses experience to improve a task, so do computers. Say you need a computer that can tell you a difference between a picture of a dog and a cat you could begin by feeding it images and telling it this one’s a dog, that one’s a cat. A computer programmed to learn will seek statistical patterns within the data that will enable it to recognize a dog or a cat in the future. It might figure out on its own that cats have shorter noses and dogs come in a large variety and then represent that information numerically organizing in space but crucially it’s the computer not the programmer that identifies those patterns and establishes the algorithm by which future data will be sorted. So, a Machine Learning Engineer are sophisticated programmers who develop machines and systems that can learn and apply knowledge without specific direction. The emergence of machine learning has created a wide range of opportunities to the developers with high paid jobs and with the inclusion of Artificial intelligence the increase in rate of jobs is going to be way higher. The Average Salary of a Machine learning engineer in India is 719,646 and in the US it goes up to 111,490.

Depending on the Machine Learning Expertise (Programmer), a ML Engineer can become a Design Machine Learning Systems, Train and Retrain systems when necessary, Develop Machine Learning applications according to requirements, Research and implement appropriate ML algorithms and tools, Study and Transform Data Science Prototypes,  Perform Statistical Analysis and fine-tuning using test results, Run Machine Learning Tests and Experiments, Select appropriate datasets and data representation Methods and many more…..

Learning about Signal Processing will give you an upper edge over other Machine Learning Engineers so if you are thinking about having a future as a Machine Learning Engineer just for it. If you have educational experience in Computer Science and Professional Experience in Computer science, Statistics and Data Analysis, any previous experience in Machine learning projects will help you a lot in having a bright future in Machine Learning.