ECNU DaSE: Algorithms for Data Science and Engineering

About this course

One of the well-developed courses from DaSE, ECNU. In this course, you are going to learn advanced topics in data science algorithms.

Instructor: Yanhao Wang Personal Website

ADS course introduced three main parts for data science algorithms in undergraduate level, with mathmatical assignments and application projects:

1. Probablilty Inequality and Applications: Hashing, Sketch, Sampling

2. Matrix Decomposition: Markov Chain, Random Walk, Eigenvalue Computation, SVD/PCA

3. Linear Programming: LP algorithms, Integer Programming, Submodular Function, Community Detection

More information: Latest Course Info(2024)

My technical reports link:

• Project1: Multi-Probe LSH for Mining Co-Author Relationship
• Project2: Robust PCA for Image Compression
• Project3: SGD-Based Regularized Matrix Factorization for Recommendation System