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UC San Diego's Data Science/Machine Learning Platform (DSMLP) provides undergraduate and graduate students with access to research-class CPU/GPU resources for coursework, formal independent study, and student projects. ... UC San Diego 9500 Gilman Dr. La Jolla, CA 92093 (858) 534-2230

UC San Diego currently has a small number of Nexis Data Lab accounts for use by faculty and students. For more information or to request access to an account, contact Data Science Librarian Stephanie Labou. ProQuest's TDM Studio opens up millions of newspaper articles, dissertations, and primary sources to text and data mining. It provides ...

The primary focus area of this position is within the Center for Genetic Studies on Drug Abuse in Outbred Rats (ratgenes.org). The main responsibility is to assist in database processes and routine quality control for data inputs and analysis outputs. This includes executing standardized queries for PosgreSQL database, assisting with data ...

Students will go through several data mining projects, planning and executing all the steps of data preparation, analysis, learning and modeling, and identifying the predictive/descriptive model that produces the best evaluation scores. This course will ensure preparedness for complex real-life data mining tasks. Topics include:

Under direct supervision of the Principal Investigator (PI) and collaborating climate scientists, the Research Data Analyst will prepare data visualization and data mining. The incumbent will interpret results in consultation with the PI and collaborators. Major requirements for the position include the following: Familiarity with managing and ...

Contains overall information about UCSD's Data Warehouse. Data Refresh Information (DB2) Find when a table was last made current. Security Access. Offers DSAs and campus users a central source for maintaining security and access information for the campus systems.

UCSD. Optimization in data mining Abstract: Optimization plays a significant role in data mining: the process of analyzing data in order to extract useful patterns and relations such as clusters and classes. Clustering, a major branch of unsupervised machine learning, is amenable to a fruitful application of optimization theory. ...