Python: AI and ML

Python is a popular programming language that has gained a lot of traction in the fields of artificial intelligence (AI) and machine learning (ML).

Python offers a range of libraries and frameworks that make it easier to develop and deploy AI and ML applications, including:

• NumPy: A library for numerical computing in Python, NumPy provides support for large, multi-dimensional arrays and matrices, as well as a range of mathematical functions for working with this data.

• pandas: A library for data manipulation and analysis in Python, pandas provides support for working with structured data in a variety of formats, including CSV, Excel, SQL databases, and more.

• Scikit-learn: A library for machine learning in Python, Scikit-learn provides a range of algorithms for classification, regression, and clustering, as well as tools for model selection and evaluation.

• TensorFlow: A popular library for machine learning and deep learning in Python, TensorFlow provides support for building and training neural networks, as well as tools for deploying models on a variety of platforms.

• Keras: A high-level neural networks API in Python, Keras provides a simple and intuitive interface for building and training deep learning models, as well as support for a range of backends, including TensorFlow.