Courses
We offer the following courses constantly in NSYSU:
We offer the following courses constantly in NSYSU:
Foundations of Manifold Learning
Foundations of Manifold Learning
Starting from PCA and MDS, we explain the mathematical ideas behind classical and modern dimension reduction embeddings including ISOMAP, LLE, LE, HLLE, DM, etc.
Python and Machine Learning Algorithms
Python and Machine Learning Algorithms
The course introduces various machine learning algorithms and focuses on how to write these algorithms from scratch.
Algebraic Graph Theory
Algebraic Graph Theory
In the course we will investigate the beautiful relations between matrices and graphs. Possible topics include, but not limited to, adjacency matrix and random walk, Laplacian matrix and graph partition, König graph and Cayley–Hamilton theorem.
Topological Methods in Graph Theory
Topological Methods in Graph Theory
Data Visualization
Data Visualization
Other Courses given by our colleagues
Other Courses given by our colleagues
Statistical Learning and Data Mining
Statistical Learning and Data Mining
Data Science Capstone Project
Data Science Capstone Project
All courses are taught in Department of Applied Mathematics, National Sun Yat-sen University.