Machine learning (ML), the subset of Artificial Intelligence (AI) that enables computers to “learn” to perform tasks they haven’t been explicitly programmed to do, took huge leaps in 2016.
Basically, machine learning refers to algorithms that ingest huge amounts of data, extract patterns from that data and turn those patterns into actions. It is now being employed in a vast number of industries to improve efficiency and open up new possibilities. When you see an advertisement on a website that seems aligned to your needs and tastes, it’s machine learning doing its magic. When Amazon makes suggestions about what other products you might be interested in buying, a machine learning algorithm is at work behind the scenes. The same goes for your Facebook newsfeed, and countless more every-day examples. ML is also slated to do much more in the future, such as fighting cybercrime and even running beauty contests.
And naturally, as is the case with every technology that starts to gain traction and become widely adopted, machine learning is creating a ton of IT job opportunities, especially for software engineers and data scientists. The average salary for AI and machine learning talent is north of $100K, and in some cases on par with NFL quarterbacks.
Here are the skills needed to begin and advance your machine learning career path: