They are not exactly a similar thing, but rather the discernment that they are can now and again prompt some perplexity. So I figured it would be worth creating an article to clarify the difference.
The two terms manifest most of the time when the point is Big Data, analytics, and the more extensive influxes of technological change which are sweeping through our reality.
To put it plainly, the best answer is that:
Artificial Intelligence is the more extensive idea of machines having the capacity to do things in a way that we would consider “smart”.
Machine Learning is a present use of Artificial Intelligence based around the possibility that we should simply have the capacity to give machines access to information and let them learn for themselves.
Artificial Intelligence has been around for quite a while – the Greek myths contain stories of mechanical men designed to copy our own particular conduct.
Early European computers were considered as “logical machines” and by replicating abilities, for example, basic arithmetic and memory, developers saw their job, on a very basic level, as endeavoring to make mechanical brains.
As innovation, and, essentially, our comprehension of how our brains function, has advanced, our idea of what constitutes Artificial Intelligence has changed.
Instead of progressively complex estimations, work in the field of Artificial Intelligence focused on copying human basic decision making procedures and completing errands in perpetually human ways.
Artificial Intelligence – gadgets intended to act wisely – are frequently characterized into one of two key groups – applied or general.
Applied Artificial Intelligence is significantly more typical AI systems intended to smartly and intelligently buy and sell stocks and shares, or drive a driverless vehicle would fall into this classification.
Generalized Artificial Intelligence are AI systems or gadgets which can in theory handle any task – are less common, yet this is the place the absolute most remarkable progressions are going on today.
It is additionally the region that has prompted the improvement of Machine Learning.
Regularly alluded to as a subset of Artificial Intelligence, it’s truly more precise to consider it the present state-of-the-art.
The Rise of Machine Learning
Two vital achievements prompted the rise of Machine Learning as the driving force behind Artificial Intelligence advancement with the speed it has right now.