Statistical Learning: Dimension Reduction
Date & Time: Thu., Feb. 17, 2022 • 1–3 p.m. CT Instructor: Sutanoy Dasgupta | Texas A&M Statistics | sutanoy@tamu.edu STATISTICAL LEARNING: DIMENSION REDUCTION Learning Objectives: Recognize the potential impact of the curse of dimensionality in statistical learning problems. Apply PCA as a dimension reduction technique in R. Apply the concept of non-negative matrix factorization. Identify the appropriate type of …
Statistical Learning: Clustering
Date & Time: Thu., Jan. 20, 2022 • 1–3 p.m. CT Instructor: Sutanoy Dasgupta | Texas A&M Statistics | sutanoy@tamu.edu STATISTICAL LEARNING: Clustering Learning Objectives: Apply K-mean clustering algorithm to relevant datasets using R. Apply Gaussian mixture clustering algorithm to relevant datasets using R. Apply Hierarchical clustering algorithm to relevant datasets using R. Apply DBSCAN density based clustering to relevant …
Statistical Learning: Classification
Date & Time: Thu., Dec. 16, 2021 • 1–3 p.m. CT Instructor: Sutanoy Dasgupta | Texas A&M Statistics | sutanoy@tamu.edu STATISTICAL LEARNING: CLASSIFICATION Learning Objectives: Identify the appropriate type of machine learning algorithm based on problem description. Apply Naive Bayes Classification to Biomedical datasets using R. Apply Decision Trees Classification to Biomedical datasets using R. Apply Random Forest Method to …
Statistical Learning: Regression
Date & Time: Thu., Nov. 18, 2021 • 1–3 p.m. CT Instructor: Sutanoy Dasgupta | Texas A&M Statistics | sutanoy@tamu.edu STATISTICAL LEARNING: REGRESSION Learning Objectives: Identify the appropriate type of machine learning algorithm based on problem description. Apply simple linear regression models to Biomedical datasets using R software. Apply multiple linear regression models to Biomedical …