TAMIDS announces its program for the Fall 2020 online Data Science seminar and tutorial series, running from Sept 4 until November 20, 2020
The NVIDIA Deep Learning Institute (DLI), the Hewlett Packard Enterprise Data Science Institute at the University of Houston, the Texas A&M Institute of Data Science, Texas A&M High Performance Research Computing, and the Texas Engineering Experiment Station invite you to attend an online deep learning workshop on Aug 24, 2020 from 1:00PM to 5:00PM
A half-day online workshop to be held in Friday July 17 seeks to connect artificial intelligence (AI) and data sciences with agriculture, life sciences and natural resources around applications, tools and case studies. A mixture of short presentations and discussions will focus on both problems and opportunities going forward.
TAMIDS is delighted to report that Dr. Yu Ding, Mike and Sugar Barnes Professor of Industrial and Systems Engineering and TAMIDS Associate Director for Research Engagement, has received the Association of Former Students Distinguished Achievement Award for Research.
Dr. Boris Hanin, Assistant Professor in the Department of Mathematics at Texas A&M University, will lead an online tutorial workshop on an “Introduction to Deep Learning” on Friday June 12, 2020
Six teams of Texas A&M University students shared $6,000 in prizes during a data science competition hosted by the Texas A&M Institute of Data Science. The competition required students to analyze airline data provided by the U.S. Bureau of Transportation Statistics to develop measures and models to forecast the expected performance of airlines.
Dr. Nick Duffield, Director of the Texas A&M Institute of Data Science (TAMIDS), is excited to announce the inaugural awardees of the TAMIDS Data Resource Development Program. The program supports work that will enable, promote and increase the usage of data resources and tools that can exploit them for research at Texas A&M.
The Bring-Your-Own-Data (BYOD) workshops are one-on-one consultancy sessions with a TAMIDS Data Scientist who can help with formulating approaches to your Data Science research project, and assist with code development to take advantage of the latest data analytics methods and high-performance computing facilities. the workshops take place weekly on Wednesday mornings during Summer 2020.
The Texas A&M Institute of Data Science invites you to join a series of five TAMIDS Data Science Webinars between June 5 and June 11, 2020. The webinars introduce the fundamentals of Data Science through hands-on computation with python and Jupyter notebooks. The webinars are open to students, faculty, researchers and other employees of the Texas A&M University system.
Dr. Venkatesh Shankar, Coleman Chair Professor of Marketing and Director of Research for the Center for Retailing Studies in the Mays Business School at Texas A&M University, will led an online tutorial workshop on “Business Analytics: Strategic Issues and Solutions” on Friday May 15, 2020
The Texas A&M Institute of Data Science maintains a list of resources available in the current public health crisis. These are also accessible through the website menu.
TAMIDS has developed “building blocks” for Data Science education, training, consultancy and project development that can support proposals for extramural funding.
The Texas A&M Institute of Data Science (TAMIDS) has established its Data Science Traineeship Program to help faculty and researchers develop Data Science projects, draw on the skills and interests of our students to work with them, and provide Data Science consultancy and mentorship during the projects
The Texas A&M Institute of Data Science (TAMIDS) has named Dr. Yu Ding, Mike and Sugar Barnes Professor of Industrial and Systems Engineering, as its Associate Director for Research Engagement. In this role, Ding will lead TAMIDS activities to support promote the growth and impact of interdisciplinary Data Science research at Texas A&M.
The Texas A&M Institute of Data Science (TAMIDS: https://tamids.tamu.edu) and the newly established NSF-funded Research Institute on the Foundations of Interdisciplinary Data Science at Texas A&M University (FIDS: http://FIDS.tamu.edu) are seeking to recruit a postdoctoral research associate to work in the area of machine learning, statistical and computational methods for the modeling and analysis of high-dimensional and graph-based data. Candidates should possess a Ph.D. in Data Science, Electrical Engineering, Computer Science, Statistics, Mathematics, or a related area.
TAMIDS Research Affiliates are Texas A&M’s Data Science experts, with over 200 members drawn from 32 Texas A&M Colleges, Agencies and other major organizational units. The TAMIDS Research Affiliates Program is open to all Texas A&M faculty (including tenure, professional, instructional and research tracks), other researchers (including research scientists and postdoctoral researchers), and operations and administration staff and professionals, whose role and interests include Data Science.
The Texas A&M Institute of Data Science (TAMIDS) solicits proposals for one-day workshops in any area of Data Science. The aim of the TAMIDS Workshop Grants Program is to support community building, stimulate collaboration, and foster interdisciplinary growth in Data Science amongst researchers at Texas A&M.