Machine Learning, AI, and Health Collaborations Workshop
This free workshop aims to promote collaboration between Machine Learning/AI researchers and researchers in Public Health and Medicine.
12 events found.
Workshop on Digital Twins in Advanced Semiconductor Manufacturing
The primary focus of this workshop is to assess both our internal capacities and external partnerships, with the aim of aligning them to meet the requirements of the NIST solicitation.
Fundamentals of Deep Learning (NVIDIA DLI Workshop)
Learn the essential techniques and tools to train a deep learning model through hands-on computer vision and natural language processing exercises. NVIDIA Course Overview (Do not register through NVIDIA) Instructor: Yalong Pi, Associate Research Scientist, Texas A&M Institute of Data Science Location:Interdisciplinary Life Sciences Building (ILSB) Auditorium
Spring 2024 Data Science Seminar Series–Andreas Tolk: Merging Agents, Social Science, and Big Data into Artificial Societies: Providing Socio-technical Complex Adaptive Systems for Better Policy Evaluation
On Marth 25th, 2024, Dr. Andreas Tolk, the Chief Scientist for Complex System Modeling at The MITRE Corporation, will present a Data Science Seminar on “Merging Agents, Social Science, and Big Data into Artificial Societies: Providing Socio-technical Complex Adaptive Systems for Better Policy Evaluation”.
Understanding and Applying t-tests and ANOVAs (jamovi, R)
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand t-tests (e.g., one-sample, independent samples, paired samples) and ANOVAs (e.g., one-way, mixed, ANCOVA) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of […]
Spring 2024 Data Science Seminar Series– Milan Sonka
On April 1st, 2024, Dr. Milan Sonka, a Professor for the Department of Electrical and Computer Engineering at the University of Iowa, will present a Data Science seminar on “Interdisciplinary AI Research – Is There a Recipe for Success?”
What the Painful Example of Stardust Teaches Us about Nav-ACS System Engineering
Tim McElrath, Chief Engineer for JPL’s Mission Design and Navigation Section, will present on the innovation that went into Stardust’s return.
Understanding and Applying Correlation and Regression (jamovi, R)
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand correlation and regression (e.g., simple, multiple, hierarchical) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of these tests. Attendees will also […]
Space Technology Trailblazers: Introspection and Exploration
Dr. Manoranjan Majji, Associate Professor in the Department of Aerospace Engineering, is leading a panel to discuss the upcoming challenges and opportunities for space technology.
AggieSat Laboratory Autonomous Rovers Showcase
AggieSat Laboratory is a student-run space program that trains students in systems engineering through hands-on experience in the design, building, testing, and operation of space systems. Two projects will discuss how their autonomous vehicles will help explore other planets. Join us to see what new adventures await you.
From Earth to Mars, Observations in Biological and Physical Sciences
Join us for this unique seminar and learn about the advances in agriculture, biology, and the physical sciences that will allow us to visit Mars… and maybe start living there! Guest Speakers Clays and natural resources for human missions on Mars Dr. Aditi Pandey, NASA Lunar and Planetary Institute 1:00-1:20 Sustaining long-term human explorations of […]
“Space Science is Data Science: Brahe, Battin and Others…”
A brief history of space science and the inextricable interconnections between our understanding of space mechanics and observational data is discussed. This lecture talks about how Kepler’s laws, the most elegant and parsimonious explanation of orbital motion laid foundations to most of the modern data science techniques. Newton, Euler and Lagrange developed a variety of […]