Are AI and Machine Learning Identical twins?
In 2019, where the world is all about technology, nobody wants anything but the best. Similarly, Social Media Companies are hovering over Artificial Intelligence at all times, as their selling point. More often than not, you will come across people using the term AI and Machine Learning interchangeably.
Wherefore, the question arises, are people right in taking AI and ML as identical twins? Not really, when you take a closer look at it, they’re more like father and son, than same faced siblings. Confused? Let us show you how.
What do you mean by Artificial Intelligence?
Artificial intelligence is something referring to human intelligence being incorporated in machines, through strictly defined rules. So, whenever a machine completes tasks based on a set of stipulated rules, this is what you call AI. Machined based on AI are capable of manipulating and moving objects, also detecting if someone moved a hand, provided the machines were properly fed with the rules to perform these tasks and a lot more.
What do you mean by Machine Learning?
Machines learning by its very name suggests, a machine’s ability to learn its algorithms. Knowledge for humans is a product of their experiences, while for machine learning, knowledge is a product of extensive and rich data. The main intention of ML is to make the machine learn through data and make the right predictions. You can teach your machine to make decisions for you.
For instance, when a child is young you teach him that fire can burn him, so you show him pictures, warn verbally and in extreme cases let him touch fire, so he knows better the next time. That’s giving him diverse knowledge to teach him a lesson for future references. Similarly, you teach a machine by giving diverse information to be processed for future references.
What makes Artificial Intelligence, Machine Learning’s cool daddy?
Now that you’ve gone through the definitions, you do know that they aren’t really the same concepts. Now let’s explore further, why we call AI the cool daddy. AI is a rule-based over-arching concept, more like an umbrella term, whereas, machine learning is its sublet, making its own rules by learning through gathered data.
AI came into existence somewhere in the 1950s but it was too advanced for those times. But AI worked wonders, by telling the computer what needs to be done. What data is to be used, how it needs to be analyzed and what exactly needs to be analyzed. All of this is done through beautifully laid out rules, by an AI.
Machine Learning as a Sublet
Soon it was realized that it’s nearly impossible to lay all the rules to the computer if human intelligence is to be challenged here. That’s where Artificial Intelligence’s sublet Machine Learning came into being. It’s a common saying that one learns a lot more than he can say, which means not all learning can be fed to the computer in terms of rules or another human being for that matter. To help ML with the tacit knowledge, we provide the machine with data of varied forms. The computer then makes algorithms and decisions based on millions of data.
ML is capable of figuring out probabilities and predicting answers without human intervention or rules fed to it previously. While AI entails a lot in its folds, the ML is there to make smart decisions, minimizing human effort and optimizing efficiency. Hence, the point, Daddy (AI) all experienced and knowledgeable, whereas, the baby (ML) follows, is more technology-friendly and the hotshot guy in the market.
Hoping that a lot of your misconception about ML and AI are the same is cleared, but if not and there are still things where you feel like you use some clarification, contact us, let some well versed Digital Marketers help you boost your business and social media appearance with the latest technology in the market.