It helps scientific researchers solve problems encountered in daily work and study, and learn more systematically the basic theoretical knowledge of machine learning and deep learning and the corresponding code implementation methods, and can quickly master various classic machine learning algorithms and the latest depth. The basic principles of neural networks, transfer learning and other algorithms and their MATLAB programming implementation are hoped that this course can further improve scientific researchers' higher understanding and practical application of artificial intelligence and its MATLAB implementation methods.
Expert: Associate Professor Yu Lei, who is mainly engaged in MATLAB programming, machine learning and data mining, data visualization and software development, physiological system modeling and simulation, and biomedical signal processing. He has rich practical application experience and is the editor-in-chief of "30 Cases of MATLAB Intelligent Algorithms" "Analysis" and "MATLAB Neural Network 43 Case Analysis" related works. Has published many high-level international academic research papers.
