Python

NLTK (Natural Language Toolkit) is an open-source Python library offering a wealth of modules, datasets, and tutorials to support research and development in natural language processing, compatible with Python versions 3.7 to 3.11.

scikit-learn是一个基于Python的开源机器学习库，提供简单高效的工具用于数据挖掘和数据分析，支持多种机器学习任务。

Keras is an open-source deep learning API written in Python, designed to simplify the construction and training of neural networks. Its user-friendly design, modular structure, and multi-backend support enable developers to efficiently develop and deploy deep learning models.

NumPy is the core library for scientific computing in Python, offering powerful N-dimensional array objects and a rich set of mathematical functions to facilitate efficient data processing and analysis.

NumPy是Python语言的核心库，提供强大的N维数组对象和丰富的数学函数，广泛应用于科学计算和数据分析领域。

scikit-learn is an open-source machine learning library for Python, offering simple and efficient tools for predictive data analysis, suitable for various contexts, built on NumPy, SciPy, and matplotlib.

NLTK（Natural Language Toolkit）是一个强大的Python库，提供丰富的自然语言处理功能，适用于文本分析、分类、标记化、词干提取、解析等任务。

Gradio是一款开源的Python库，旨在帮助开发者快速为机器学习模型创建友好的Web界面，使任何人都能轻松使用和分享。

Keras是一个用Python编写的高级神经网络API，专为人类设计，强调快速实验、代码优雅和易维护性，支持多种后端框架。

微软发布了一门为期12周、包含24节课的免费开源课程“Machine Learning for Beginners”，旨在帮助初学者系统学习经典机器学习知识，主要使用Scikit-learn库进行实践。