Artificial intelligence and machine learning are part of the field of computer science. Both terms are correlated and most people often use them interchangeably. However, AI and machine learning are not the same thing and there are some key differences that I will discuss here. So, without further ado, let’s dive into the details to learn the difference between AI and machine learning.
Artificial intelligence is the ability of a machine to solve tasks that are commonly performed by intelligent beings or humans. So AI allows machines to “intelligently” execute tasks by mimicking human abilities. On the other hand, machine learning is a subset of artificial intelligence. It is the process of learning from data that is fed into the machine in the form of algorithms.
Artificial intelligence and its benefits in the real world
Artificial intelligence is the science of training computers and machines to perform tasks with human-like intelligence and reasoning abilities. With AI in your computer system, you can speak in any accent or in any language, as long as there is data on the internet about it. The AI will be able to pick it up and follow your orders.
We can see the application of this technology in many of the online platforms that we enjoy today, such as retail, healthcare, finance, fraud detection, weather updates, traffic information, and much more. In fact, there is nothing the AI can’t do.
Machine learning and its process
This is based on the idea that machines should be able to learn and adapt through experience. Machine learning can be done by giving examples to the computer in the form of algorithms. This is how you will learn what to do based on the given examples.
Once the algorithm determines how to draw the correct conclusions for any given input, it will apply the knowledge to new data. And that is the life cycle of machine learning. The first step is to collect data for a question you have. Then the next step is to train the algorithm by feeding it to the machine.
You’ll need to let the machine test it, then collect feedback and use the feedback you get to improve the algorithm and repeat the loop until you get the desired results. This is how feedback works for these systems.
Machine learning uses statistics and physics to find specific information within the data, without any specific programming about where to look or what conclusions to draw. Machine learning and artificial intelligence these days apply to all kinds of technology. Some of them include CT scans, MRI machines, car navigation systems, and food applications to name a few.
conclusion
In simple words, artificial intelligence is the science of creating machines that have human-like reasoning and problem-solving properties. And this allows machines to learn and make decisions from past data without explicit programming. In short, the goal of AI is to create intelligent machines. And it does it by combining machine learning and deep learning etc.
