Machine learning can use Python or MATLAB for programming and data analysis. Python is a very popular programming language with rich machine learning libraries and tools, such as scikit-learn, TensorFlow and PyTorch. These libraries provide a wide range of machine learning algorithms and tools, which are suitable for various application scenarios. In addition, Python has powerful data analysis and visualization functions, which makes data exploration and model evaluation easier.

MATLAB is a professional mathematical and scientific computing environment, and there are also abundant machine learning toolboxes, such as MATLAB machine learning toolbox, deep learning toolbox and statistics and machine learning toolbox. MATLAB has advantages in data visualization, matrix operation and mathematical modeling, and is suitable for scientific calculation and algorithm prototype development.

Choose Python or MATLAB, depending on personal preferences and specific application scenarios. Python is more universal and has a wide range of machine learning libraries, while MATLAB may be more suitable for some specific fields and specific algorithms. When choosing a programming language, it is important to consider the actual demand and the existing skill level.