Foundations of Data Science – Lecture 9 – Two Applications of SVD
Modern data often consists of feature vectors with a large number of features. High-dimensional geometry and Linear Algebra (Singular Value Decomposition) are two of the crucial areas which form the mathematical foundations of Data Science.…
Foundations of Data Science – Lecture 8 – Low Rank Approximation (LRA) via Length Squared Sampling
Modern data often consists of feature vectors with a large number of features. High-dimensional geometry and Linear Algebra (Singular Value Decomposition) are two of the crucial areas which form the mathematical foundations of Data Science.…
LightGBM
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations. Although many engineering optimizations have been adopted in these implementations, the efficiency and scalability are still unsatisfactory…