4 Python Libraries for Artificial Intelligence and Machine Learning

Artificial intelligence (AI) has been in our lives for a long time. However, since 2023, AI’s are much more popular than any time before. Nowadays many kinds of developer wants to work with something related to artificial intelligence and machine learning. Especially Python developers are luckier because there are robust and useful libraries related to this field. In this blog post, I’ll show you the 4 Python libraries for artificial intelligence and machine learning.

An Intro to Python Libraries for Artificial Intelligence

I know that most of the developers are keen on developing projects that include Artificial Intelligence and Machine Learning in it, and to be honest that’s a great thing. People are often afraid when most of the developers show interest in one topic instead of showing equal interests between working fields because that may cause not being able to find enough workers for other fields. However, “reality is often disappointing – A wise purple man”.

Machine learning is a tough concept, a really tough concept. Especially when you step into mathematics it’s hell, but if you think you can get over it and have confidence, I can help you with start points. Here are the 4 Python libraries for artificial intelligence and machine learning!

TensorFlow

Before diving into deep and talking about machine learning mathematics and related libraries, I’ll take it easy and show you the most popular machine learning-related library. TensorFlow is supported by Google and it can be coded with Python. In addition, TensorFlow has pre-trained models so you don’t have to train your own. To install the TensorFlow library with pip you can run the following command:

pip install tensorflow

To learn more about the TensorFlow library, you can look at tutorials.

Numpy

If you want to solve complex math problems, work with multi-dimensional arrays, and work with matrixes, this library will be one of your best friends. Machine learning can sound entertaining but when you dive into it, it’s just math. So you have to prepare yourself for pure pain and mind-blown 😔 But don’t worry, you’re not alone. Numpy and its best buddy Pandas are here to help you, but we’re gonna talk about Pandas in the last part.

Luckily Numpy is so popular so there’re a lot of sources that will help you through your journey. To install Numpy you can run the following command:

pip install numpy

PyTorch

PyTorch is an open-source machine learning library developed by OpenAI. You may have heard the name “OpenAI” if you follow the latest AI news. They’re also the developer of ChatGPT technology.

PyTorch has great and clean documentation as well as rich tutorials. You can start your learning journey with PyTorch tensors and keep it on. With the following command, you can install the library:

pip install torch

Pandas

Pandas is a data analysis library. You may think you can merely use this library with data science-related fields but it has a wider usage field. Besides Pandas being an open-source project, huge Tech firms like Nvidia are one of the official supporters of this library. You can start learning more about Pandas through this portal.

In order to install the library, run the command:

pip install pandas

I hope you learned more about the introduction to machine learning with Python. These were the 4 Python libraries for artificial intelligence and machine learning in a nutshell. There are much more libraries that are being used in this field of course, but these 4 have vital significance in this work field. Stay tuned for future content!