Learning Machine Learning

By now, you must have heard about Machine Learning as it is, undoubtedly, one of the most talked about areas of the Tech World.

Machine Learning is the “scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead”. Meaning, that a given machine can learn patterns and infer predictions and data without any human interference.

Why is this so big?

Imagine having to scope your company’s wi-fi network. In order to do so you’d most likely need to have someone (or more than one) of your IT department available to analyse all the flow of uploads and downloads. Would it be feasible? Would the job be done accurately? Would it be safe to say that your network would be safer that way?

Now, imagine you could have a machine doing it for you and that it would not only scope the network, but it would learn and understand patterns in order to react to changes on those patterns and let you know when something strange was happening, like an intrusion on your company’s network, or internal data theft.

Our cybersecurity division is actually transposing this to the home usage and solving complex algorithms that can process the network behaviour from a single person and understand topics like bullying, mental illness and so many other problems that are reflected in our digital online footprint.

Neat, right?

Though Machine Learning is so much more than what this very fleshy human can explain on such a small article, it has numerous applications and it can be of aid on the commercial or industrial side of life as well on homes, hospitals and schools.