The best thing about the Python programming language is the plethora of libraries for Machine Learning
development. Here are the top 6 Python libraries that make Artificial Intelligence seamless with readable and powerful algorithms –
would be incomplete without NumPy. It is a Python software package that allows scientific computing. NumPy is a fantastic library for multi-dimensional array objects. They work together and reduce the computational complexity of the program.
Another popular library for Python AI projects, SciPy is the first choice for Python programmers for scientific and heavy computing involving mathematics and engineering. It provides routines for numerical optimization and integration. The library is extremely user-friendly for beginners.
The library is built upon NumPy and SciPy. It is used for supervised and unsupervised learning. The library is a perfect tool for data mining and data analysis. Scikit-Learn is a popular option for any Machine Learning engineer who wants to approach AI projects with an integrated approach.
The open-source Python software package, Pandas, enables programmers to manipulate data and analyse it. It has efficient data exploration and visualization capabilities. The library offers high-level data structures with a wide variety of tools for working closely with multiple datasets.
Keras is an API that runs over TensorFlow. The focus of Keras is to allow developers quick experimentation for Artificial Intelligence. The library has a far better user experience than TensorFlow. It was developed in Python and is easier to understand than other tools.
The mightiest of all libraries is Matplotlib. It offers capabilities for data visualization
and exploration. It offers charts, histograms, scatterplots, etc., to customize Python AI projects. Matplotlib helps in quickly manipulating data for a visual representation in less time.
These were the top 6 libraries for Python and Machine Learning. Apart from these, there are libraries like TensorFlow, NLTK, PyBrain, Caffe, etc., which lead to the proper performance of AI apps.
programming language has been in the game for so long – and it’s here to stay. There are only a few programming languages – and Python is one of the best. My company saw the benefits of Python for Machine Learning
and why it is important for AI. We also looked at the top Python libraries and tools that simplify the process of Python AI development.
In essence, Python
is an exceptional programming language for Artificial Intelligence
. It has the power and scalability to handle massive amounts of data requests simultaneously. It would be interesting to see the integration of Python and Machine Learning
in the future.
Originally Published On: https://www.business2community.com/big-data/python-ai-why-python-is-better-for-machine-learning-and-ai-02389380/amp