Data Mining | University of Utah | Prof. Ana Marasović

Explore key data mining topics like similarity search, clustering, regression, and graph analysis in this comprehensive course at the University of Utah.

Introduction

Data Mining is the study of efficiently finding structures and patterns in large data sets. The course focuses on converting messy and noisy raw data into a structured and abstract representation, applying scalable and probabilistic algorithms to the well-structured data, and understanding the error and trade-offs between accuracy and scalability.

Highlights

• Covers key data mining topics including similarity search, clustering, regression/dimensionality reduction, graph analysis, PageRank, and small space summaries
• Includes recent developments and applications of data mining to modern internet-based companies
• Emphasizes the ability to read, understand, and implement ideas from data mining research papers

Recommendation

This course is recommended for students interested in becoming data scientists. It provides the essential tools and knowledge for working with large, complex datasets, including algorithms, programming, probability, and linear algebra.