Machine learning, also referred to as “ML,” is the inner component involved in artificial intelligence. It is what allows machines or computers to be able to learn from their environment and perform tasks without explicit programming to do so.
You know when you finish a TV show on Netflix, and it shows you a list of other shows you might like based on what you just watched? That’s machine learning at work.
In the future, this is likely to expand further into the educational environment, where robots may replace some instructors in order to illustrate hands-on learning and many other factors of a holistic education.
How does machine learning work?
This is a broad field of technology that involves learning how machines learn. They don’t learn like people, but they do learn from their environment and the huge database that is fed to them by various sources and programmers.
Using the complex analysis of Big Data and the ability to streamline the data into the system of the computer, this allows it to find patterns, build models, and make choices based on the data and the circumstances that are being input.
This technology has been possible for a long time, but only recently with the emergence of AI and more sophisticated learning systems, has it begun to gather more attention from the scientific technology industry and financial institutions.
Careers in machine learning are growing rapidly, including roles such as:
- Software developers and software engineers
- Data scientists
- Machine learning engineers and scientists
- AI architects
There’s no doubt that this field will continue to grow in the future, so if you have a knack for technology or computers, consider breaking into the industry now! If you are in college, consider majoring in a program such as computer science, software engineering, mathematics, or a similar field to set you on the right track toward a career in machine learning.