STAT 236 - Sparse Inference, and Network and Text Analysis Learning Course

[STAT 236 - Sparse Inference, and Network and Text Analysis Learning Course] STAT 236 - Sparse Inference, and Network and Text Analysis STAT 236 focuses on advanced statistical methods for sparse inference, network analysis, and text mining. The course covers topics such as sparse regression models (lasso, elastic net), network theory (graph theory, centrality measures), and natural language processing techniques (topic modeling, sentiment analysis). Emphasis is placed on understanding how to extract meaningful information from sparse and high-dimensional data, analyze complex networks, and process unstructured text data. Through theoretical principles and hands-on projects, students gain skills in applying statistical inference methods, network analysis tools, and text mining algorithms to analyze real-world datasets in fields such as social media analytics, computational biology, and marketing research.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.