Artificial Intelligence is one of the most important topics in computer science. With the help of this science, machines can be intelligent and in various fields. To implement the concepts of artificial intelligence, we need programming. One of the most popular programming languages used in artificial intelligence is Python. Python’s main strength comes from its libraries, and the variety of these libraries is so great that it has made it possible to do almost anything with Python. In this post, we are going to review Python libraries for artificial intelligence.
What is artificial intelligence?
Defining the AI is not an easy task because there are so many definitions of intelligence. But the simplest definition of the AI is that it refers to a machine or system that exhibits intelligence in the same way as humans. In other words, a machine that can program, learn, reason, have problem-solving power, and ultimately react to the external environment has artificial intelligence.
Today, artificial intelligence is used in many fields. Sometimes we are using artificial intelligence from systems based on it without realizing it. For example, Instagram uses artificial intelligence to filter out offensive comments, detect violence in videos, or suggest videos based on users’ tastes. Another example is voice assistants, which are becoming more and more used. Intelligent assistants such as Siri or Alexa that use machine learning to interact with humans.
What are the sub-branches of artificial intelligence?
Artificial intelligence has many sub-branches and is into different sections. One of the most important trends is Machine Learning, which is ML for short. In machine learning, the goal is set by humans for the machine. Then the machine must learn how and in what ways it must reach that goal. In this trend, the machine is always gaining experience and learning and is always learning new things.
Another application of artificial intelligence is natural language processing. Thanks to this tendency, the computer can recognize speech or writing in different human languages. The most popular services that use this artificial intelligence technique and you probably know them are Google Translate and anti-spam email service.
One of the most attractive trends in the AI is machine vision. We can think of it as human vision, except that it has no limitations. For example, human vision cannot see behind a wall or at great distances, but machine vision does not have such limitations. In this field, we are dealing with various concepts such as converting analog images to digital and signal processing, etc.
Robotics is one of the most important sub-branches of artificial intelligence in Iran and the world. Robots are still very different from what we see in movies, but they are on the rise and have been present in sensitive and important parts. Surgical robots that perform better than humans than flying robots and firefighters are all made with AI.
What has Python got to do with the AI?
Years ago, people working in the field of AI and machine learning had to do different things manually. That is, they had to analyze the algorithms first and then implement various formulas and reports. Putting this together was a long and tedious process, and in many cases was accompanied by errors. But today, with the growth of different programming languages, libraries and frameworks based on them, this task has become much easier than before.
Python is currently one of the most popular programming languages in the world, used by more than 28% of programmers. The popularity of the Python language is no coincidence and there are many reasons to use it. One of the most important reasons for using this language is the ease of learning. It and its trends have their own complexities, and experts in this field are not expected to spend much time learning the intricacies of a programming language. It is also very flexible and supports a variety of programming methods.
The popularity of Python in various fields has led developers to create many libraries for this programming language. With these libraries, those who intend to use Python in the field of it will no longer have to worry about complex coding and structures. Because almost everything they need to work on it has been designed and programmed by other developers. In this article, we will introduce you to the top Python libraries in the field of AI.