In the process of learning machine learning and deep learning, the most important thing is the training of algorithm model. Taking part in the training of real data analysts is a bit like signing up for an Olympic math class.

Therefore, learning this requires strong theoretical knowledge as a support, such as high number, discretization, line generation, data structure, introduction to algorithms, probability theory and statistics.