UCSD_Data_Mining_Certificate

In the practicum course, students will use real-life data sets from various industries to complete data mining projects, planning and executing all the steps of data preparation, analysis, learning and modeling, and identifying the predictive/descriptive model …

UCSD_Data_Mining_Certificate

Newly updated with added data sets, a robust practicum course, a survey of popular data mining tools, and additional algorithms, this program equips students with the skills to make data …

Courses | Master of Data Science Online

This page provides a listing of all OMDS courses.

DSC 256R: Data Mining on the Web | Master of Data …

Building models to understand data in order to gain insights and make predictions. The course presents the material using a variety of applications as examples, including: Text mining, Playlist prediction, Suggestion for Smart Reply, Learning Visual Clothing Style, and Online Advertising.

DSC 250 Advanced Data Mining

DSC 250 - Advanced Data Mining - UC San Diego - Winter 2023 DSC250-Fall2023. Logistics Lectures Homework Project. Advanced Data Mining DSC 250 • Fall 2023 • UC San Diego. …

Data Science

The Halıcıoğlu Data Science Institute (HDSI), in cooperation with the Department of Computer Science and Engineering (CSE), offers a master's degree in data science to working professionals who are seeking to expand their skill set in data science.

Applied Data Mining

The course provides data mining principles, methods, and applications with a variety of integrated theoretical and practical examples in classification, association analysis, cluster analysis, and …

DSC 250 Advanced Data Mining

DSC 250 - Advanced Data Mining - UC San Diego - Winter 2023 DSC250-Fall2023. Logistics Lectures Homework Project. Advanced Data Mining DSC 250 • Fall 2023 • UC San Diego. Lectures ; Time: Tue/Thu 3:30pm-4:50pm; Location: PODEM 1A19; Recordings: Podcast (Please login with your UCSD ID)

DSC 256R: Data Mining on the Web | Master of Data Science …

Building models to understand data in order to gain insights and make predictions. The course presents the material using a variety of applications as examples, including: Text mining, …

2024-Winter-DSC148-Introduction to Data Mining

This course mainly focuses on introducing current methods and models that are useful in analyzing and mining real-world data. It will cover frequent pattern mining, regression & classification, clustering, and representation learning.

Data Science

The Halıcıoğlu Data Science Institute (HDSI), in cooperation with the Department of Computer Science and Engineering (CSE), offers a master's degree in data science to working …

UCSD_Data_Mining_Certificate

Newly updated with added data sets, a robust practicum course, a survey of popular data mining tools, and additional algorithms, this program equips students with the skills to make data-driven decisions in any industry.

2024-Spring-CSE291-DSC253-Advanced Data-Driven Text …

2024-Spring-CSE291-DSC253-Advanced Data-Driven Text Mining. Graduate Class, CSE, UCSD, 2024. Class Time: Tuesdays and Thursdays, 9:30 to 11:50 AM. Room: CENTER 222. Piazza: …

UCSD_Data_Mining_Certificate

In the practicum course, students will use real-life data sets from various industries to complete data mining projects, planning and executing all the steps of data preparation, analysis, …

2024-Winter-DSC148-Introduction to Data Mining

This course mainly focuses on introducing current methods and models that are useful in analyzing and mining real-world data. It will cover frequent pattern mining, regression & …

2024-Spring-CSE291-DSC253-Advanced Data-Driven Text Mining

2024-Spring-CSE291-DSC253-Advanced Data-Driven Text Mining. Graduate Class, CSE, UCSD, 2024. Class Time: Tuesdays and Thursdays, 9:30 to 11:50 AM. Room: CENTER 222. Piazza: piazza/ucsd/spring2024/cse291dsc253. Online Lecturing for First Week. To offer waitlist students opportunities to learn more about this course, in the first week, we ...

GitHub

Newly updated with added data sets, a robust practicum course, a survey of popular data mining tools, and additional algorithms, this program equips students with the skills to make data-driven decisions in any industry.

Applied Data Mining

The course provides data mining principles, methods, and applications with a variety of integrated theoretical and practical examples in classification, association analysis, cluster analysis, and anomaly detection. This course also includes applied examples associated with each topic in data mining using R and Python programming languages.