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Python in AI and ML – Things to Know

Technology is growing at such a fast rate. Artificial Intelligence & Machine learning have become the basics that can be found in every area these days. There are many coding languages available in the market. But Python is the name taken when it comes to AI and ML. But why so?

The answer to the question is:

  • Easy to learn and understand
  • independent
  • Look and feel
  • Powerful
  • Popular
  • Multiple frameworks and libraries are available

What is Python?

Python is a high-level, object-oriented, and interpreted programming language. It was first introduced by Guido van Rossum between 1985 and 1990. It serves as both AI and ML’s primary language. It helps to solve complex problems, which builds the self-motivation of coders.

Why Python in AI and ML – Things to Know?

Artificial intelligence (AI), a broad field of computer science, aims to create intelligent machines that can perform tasks that typically require human intelligence.

Machine Learning is the study of how computers can learn from the output the same way humans do.

Thus, Python plays a moot role in AI and ML field. It is the first choice of scientists when working on AI and ML. It is independent and helps in solving difficult tasks. Python AI ML course in Hyderabad proves to be the best for seeking decisions for starting a new career. Let us discuss the following:

Libraries: Python’s main part is libraries, which makes it popular in performing task better and faster. These are well-suited for AI and ML applications; they help manage complex problems. TensorFlow, Theano, Keras, Scikit-learn, NumPy, PyTorch, and Pandas are examples of these libraries.

  1. Programming format:

There is no other programming language available in the market than Python. It is so flexible to use, easy to learn, independent, and popular in the market. It is easy to work with different data structures or back-end programming.

  1. Platform Independent:

It is an open-source and free programming language. It works on different operating systems, including Windows, Mac OS X, Linux, and Solaris.

  1. Simple to Learn:

Python is one of the best coding languages for beginners or says for non-coders. It is simple and easy to learn and code. It is platform-independent, which makes it easy for AI and ML scientists to adopt its model.

  1. Visualization:

Python is said to be best for look and feel. It has a collection of many libraries and tools for visualization. Plotly, Seaborn, and Matplotlib are the popular libraries for Data Visualization.

  1. Flexibility:

Python is a flexible language. It also helps the developer in making decisions between object-oriented programming(OOP) and scripting. It helps with dealing with complex problems resulting in error-free results.

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