Hey all, machine learning and artificial Intelligence are in-demand technologies in 2021 as well as in future years with no doubt but both the terminologies are itself a cluster of different technologies as well as some prerequisites involved in it. What do I mean through this statement is that, if we want to learn machine learning and artificial intelligence then we are indeed bound to learn data science, probability and statistics, not in deep but basic concepts are expected to be cleared, a programming language — python, most preferred to start with and it’s libraries forex. Numpy, pandas, etc. Now it is not written anywhere that you must learn these prerequisites but actually, when you start learning machine learning you will automatically going to learn all these concepts. Hey just wait, I am contradicting myself, I said that we can’t learn machine learning without learning its prerequisites and then I said that we can learn machine learning directly. So let me clear your doubt, it purely depends on the person’s grasping power. So, it’s your choice what to learn first.
What is machine learning?
Machine learning (ML) is the study of computer algorithms that improve automatically through experience. This is the official definition but it leaves some doubts in our mind such as how machines get experienced or how algorithms will improve. These questions might be irrelevant for those who are from a computer science background and know some of the basics of ml but it is still relevant for beginners. Let’s try to understand by the simplest example of spam emails checker feature. With the help of that feature we can see or separate which mails are spam and which are not, it’s really an important feature for us to avoid fraud. In this scenario what happens that a small computer program runs to make these things happen. First of all ample amount of data is provided to the program, consisting of information about mail message and whether that message is spam or not. After that, the program analyzes that data and we train our program with the help of programming code by applying various algorithms and after that machine predicts the incoming message as spam or not. This is what machine learning is, improve automatically through experience.
What is Artificial Intelligence?
Artificial intelligence (AI), is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. It is an extension to machine learning. Now, this definition is too confusing and hard to understand so let’s try to figure it out through an example of chess. There are many online chess games available so that we can play, in that games machines are the opponent to us and similarly, there are levels of difficulty of the game so that we can set depending to our choice. The hard level describes that the computer will win always. In this case, ample of data consisting of various moves to win the game is provided to the machine and after analyzing, training and by failing and trying again strategy, it reaches the maximum level after that it will win every chess game. It sounds interesting and this is what artificial intelligence is all about.
Difference between machine learning and artificial intelligence
Let’s take one example, let’s suppose we created a program to identify a cat. It seems to be easy but actually, it’s difficult, computers only know the binary language of 0’s and 1’s. For that, we will be going to show ample of cat’s images so that it will analyze and train according to it so that if we have shown him pictures of a cat, it will going to identify it as a cat. This is machine learning, but if we have shown him an image of the dog, the whole program will fail because we used only machine learning. But what if we used artificial intelligence with ml, that program, after showing an image of a dog, it will try to understand and if it fails, it will try again and again until it completely decides the given image is a dog. This is the power of artificial intelligence. I hope you have clearly understood the difference.
The conclusion is that the extent of data science is machine learning and similarly the extend of machine learning is artificial intelligence. So every technology is important and extraordinary in its own field. Thanks for reading this article! See you again.
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