Artificial Intelligence and Machine Learning are among the most trending terms these days. If you are a Computer Science person then you would have definitely come across these terms, but if you ain’t, you cannot escape these huge expressions in this fast-moving world. The two terms are often used together and are a lot interconnected, but while you think they are connected since they talk about Statistics and intelligent software building, it must be noted that they are two different terms, which are way too distinguishable from each other. In this article on “Difference between Artificial Intelligence and Machine Learning,” we will check everything necessary to understand the contrast between these two.
AI or Artificial Intelligence is a term that consists of two words “Artificial” and “Intelligence.” These two terms are enough to give a gist of the entire concept, i.e. an intelligent system that can replicate human intelligence.
The systems on which Artificial Intelligence is implemented run on algorithms, i.e. the systems use these algorithms with their intelligence and hence do not need programmed software. These systems provide extraordinary outputs for each assigned task and are expected to evolve more, especially at an emotional level, in the times to come.
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ML or Machine Learning can be referred to as an application or a subset of Artificial Intelligence. Now, to define Machine Learning, it is the process in which the machine learns on its own, without any programming. It enables the system to improve from experiences and learn automatically from them.
It is an application of Artificial Intelligence that uses mathematical models to help the computer system learn. Also, the system can learn and improve on its own as it continues to experience more and more.
Understanding the basics of both Artificial Intelligence and Machine Learning, it is now important to know why one should choose any of these.
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Artificial Intelligence and Machine Learning are one of the most booming fields in the technical world today. So, there are a lot of reasons that you can choose them.
Let’s have a look at these reasons one after the another:
Now, when you know why AI and ML are so much in demand, another important segment is to understand how they are different from each other.
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Above you saw the basics of both, ML and AI, now let’s have a look at the major differences between the two.
Machine Learning can also be divided into three types:
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Artificial Intelligence is being used in several verticals. Every organisation that dreams of growing at a rapid rate is trying to move towards AI and make the most of it. Several complex operations cannot be handled unless you have AI-powered systems.
These systems are used in different fields like they are used in Astronomy to figure out the intricacies of the universe. Then they are used in the field of healthcare, where several complex processes like human cognition and decision making are needed.
Apart from that, they are used in Businesses when it comes to having an effective roadmap by analysing several business trends and market growth. Similarly, AI can be utilised in the Sales and Marketing domain to understand the market trends and figure out what could be the latest sales pitch.
Machine Learning is one of those things that you would use in your daily life and with the advancements happening every day, now more than ever. There are things that you would think are running on the normal internet, but that’s not true, it is actually Machine Learning at your aid.
Common applications like Image Recognition which is too common these days to identify objects or faces work on ML. Then there’s Speech Recognition when you speak something on the mic and it comes instantly or when you are using the maps and you see Traffic prediction, that is all Machine Learning is doing for you.
Watch something on a streaming application or shop something online, and you begin to get recommendations, it is again the work of ML. Also, the email spam or email filter option that has become common these days is all powered by Machine Learning.
Some of the most common examples of Machine Learning include Google Maps, Cortana, Alexa, Google Assistant etc.
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By now, you would know that Artificial Intelligence and Machine Learning may be related to a great extent but they are different. Now, you know that Artificial Intelligence has a wider range as compared to Machine Learning and ML is a subset of AI.
In the process to understand the difference between AI and ML, you first saw their basics and once you were clear with the basics you went on to see how they make a difference in this fast-moving world. After the basics were clear you saw how they are different from each other, even if they are concomitant.
Once you were able to distinguish between Artificial Intelligence and Machine Learning, you moved on to learn about the advantages that they bring with them. Furthermore, you learnt their applicability and how they impact our daily life.
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Machine Learning is something that you should start with as Machine Learning is a subset of Artificial Intelligence. ML includes basic mathematical models to help machines learn rather than being heavily programmed. Once you are done with some basic mathematical models like Linear Regression, you can go on to focus on the bigger set, i.e. Artificial Intelligence, which focuses on making the machine smart/intelligent, so they function like humans.
Artificial Intelligence definitely needs coding but not a lot of it. To excel in AI, you must have a firm grip on mathematical concepts like statistics and probability. Then you must have a deep knowledge of the problem you are going to solve, and along with this, you must know some basic programming language like Python or Java.
Anyone can learn Artificial Intelligence. You don’t need a specific background to understand AI. To begin with Artificial Intelligence, you must begin with advanced mathematical concepts like algorithms, statistics, etc. While you are refining yourself in mathematics, you must begin to learn one programming language, don’t deep dive into it, but you must learn how to write beginner-level programs. Lastly, it would help if you had some grip over Machine Learning to understand the overall process of mathematical concepts and how machines learn.
John McCarthy, an American Computer Scientist and inventor, are referred to as the father of Artificial Intelligence.