TAMIDS Spring 2023 Seminar & Tutorial Series
TAMIDS announces its program for the Spring 2023 Data Science seminar and tutorial series, running from January 23 until April 17, 2023, starting Mondays at 2pm, online or in person in Blocker 220.
12 events found.
Bring-Your-Own-Data (BYOD) Online Consultancy
The Texas A&M Institute of Data Science (TAMIDS) and Texas A&M High Performance Research Computing (HPRC) invite you to sign up for Bring-Your-Own-Data (BYOD) online consultancy, offered in dedicated sessions with a TAMIDS Data Scientist on Thursdays 2:00pm-3:00pm during Spring 2023.
2023 Student Data Science Competition
Wildfire Data Science Challenge Competition Setting As described on the website of the World Health Organization, a wildfire is an unplanned fire that burns in a natural area such as […]
TAMIDS SciML Lab Seminar Series: Yannis Kevrekidis: No Equations, No Variables, No Space, No Time: Data and the Modeling of Complex Systems
On Monday, March 27th Dr. Yannis Kevrekidis, a Professor of Biomedical Engineering at John Hopkins, will give a SciML Lab Seminar on “No Equations, No Variables, No Space, No Time: Data and the Modelling of Complex Systems.”
TAMIDS Seminar Series: Abhishek Chakrabortty: Causal Inference for Treatment Effects from Observational Data: An Overview
On Marth 29th, 2023, Dr. Abhishek Chakrabortty, an Assistant Professor for Texas A&M Department of Statistics, will present a TAMIDS Data Science Seminar on “Causal Inference for Treatment Effects from Observational Data: An Overview”.
Spring 2023 Data Science Seminar Series: Tyson Swetnam: Cyber Cowboys: Wrangling Big Data on the Frontier of Open Science
April 3, Monday, 2-3 pm CDT, Tyson Swetnam, University of Arizona. Detailed information for this seminar is forthcoming. The seminar is in person at Blocker 220. Drinks and snacks will be served. The seminar will be also accessible via zoom (ID: 998 4499 3279 and Passcode: 724615).
TAMIDS Tutorial Series: Shuiwang Ji: Frontiers of Graph Neural Networks with the Dive-Into-Graphs (DIG) Library
On April 10th, 2023, Dr. Shuiwang Ji, a Professor and Presidential Impact Fellow in the Department of Computer Science and Engineering at Texas A&M, will present a TAMIDS Tutorial on “Frontiers of Graph Neural Networks with the Dive-Into-Graphs (DIG) Library”.
TAMIDS Workshop on Network Science
On Thursday, April 13th, the TAMIDS Workshop on Network Science will bring together students and faculty at Texas A&M interested in both theoretical and applied aspects of network science and graph analysis. The workshop will include talks from faculty across several different departments on campus and will conclude with a poster session on student research projects.
TAMIDS Tech Talk: Sanyam Bhutani: Building ML Apps, What can you learn from Kaggle competitions?
On April 13th 2023, Sanyam Bhutani, a Data Scientist at H2O.ai, host of Chai Time Data Science podcast, and Kaggle Grandmaster, will present a TAMIDS Seminar on “Building ML Apps, What can you learn from Kaggle?”
Spring 2023 Data Science Seminar Series: Weisong Shi: Vehicle Computing: Vision and Challenges
On April 17th, 2023, Dr. Weisong Shi, a Professor and Chair for the Department of Computer and Informational Sciences at University of Delaware, will present a TAMIDS Data Science Seminar on “Vehicle Computing: Vision and Challenges”.
TAMIDS Tech Talk: Martin Klein: We Are Losing our Scholarly Record – and What We Can Do About It
On Wednesday, April 19th, Dr. Martin Klein, a scientist at the Research Library of the Los Alamos National Laboratory in New Mexico, will present a TAMIDS Tech Talk titled “We Are Losing Our Scholarly Record – and What We Can Do About It”.
TAMIDS Urban AI Lab-GeoSAT Talk: Michael Goodchild: Digital Twins, Digital Earth, and Ethics
Dr. Michael Goodchild will deliver a public talk at 930am-11am on April 20 (Thursday) titled “Digital Twins, Digital Earth, and Ethics” at Langford Adam’s Presentation Room (A212), as the inaugural talk for Center for Geospatial Sciences, Applications and Technology, in light of the coming decades of Merged Physical/Digital World. He is Member of National Academy of Sciences and is widely considered as the originator of the field of Geographic Information Science. He is also Fellow of the British Academy, Foreign Member of the Royal Society, Member of American Academy of Arts and Sciences, and Foreign Fellow of Royal Society of Canada. He received the Vautrin Lud Prize, often referred to as the Nobel Prize in Geography