What are prerequisites to start learning machine learning?

To start learning machine learning, it's helpful to have a foundation in certain prerequisite skills and knowledge areas. Here are some key prerequisites to consider:

Mathematics:
Understanding of basic mathematics concepts, including algebra, calculus, probability, and statistics. Linear algebra is particularly important for understanding machine learning algorithms and concepts such as matrix operations, eigenvalues, and eigenvectors.
Programming:
Proficiency in at least one programming language, such as Python, R, or Julia. Python is widely used in the machine learning community and has extensive libraries and frameworks for machine learning and data science, such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.