Pie & AI: Tallahassee - Data science before the ML Bandwagon

1011 Academic Way,Tallahassee FL 32306-4520

16 April, 2022

Description

Data science before the machine learning bandwagon came to town Pie & AI is a series of DeepLearning.AI meetups independently hosted by community groups. This event is hosted by Florida State University and event ambassador, Nathan Crock. Special thanks to their support! Abstract In recent years, interest in "new" approaches in data science and machine learning such as the use of neural networks has exploded. However, some of those interested in jumping onto that bandwagon may not have a good background in ancient or recent developments in more traditional data science algorithms such as, among others and some in greater detail than others (Monte Carlo methods, compressed sensing, reduced-order modeling, multilevel and multi-fidelity methods, polynomial chaos, sparse grids, support vector machines, etc.) each of which has proved to be useful in at least some and, in some cases, many application settings. As a result, researchers and users of the new approaches alluded to above may find it difficult to compare the results of their research with what can be done using other approaches. They also may find it difficult to combine the new approaches with the older ones to construct, as is currently being done by numerous researchers, even better machine learning algorithms. The lectures are meant to give participants, including those not necessarily interested in the "new" approaches, a quick and dirty introduction to alternate approaches to data science with a focus on uncertainty quantification of complex systems. Of course, a short course cannot hope to cover everything there is to know about all types of uncertainties so we particularly focus on parametric uncertainties. The course will also pay particular attention to settings having a "large" number of random parameters and also for which obtaining samples is a very costly endeavor, settings for which "the curse of dimensionality" rears its ugly head. The course will require a rather modest, and in some cases, no prior knowledge of the underlying subject areas such as probability, statistics, mathematics, and numerical methods so that the presentations should be, for the most part, understandable to even STEM-related advanced undergraduate students. Speaker About the speaker: Max Gunzburger is the Robert O. Lawton Distinguished Professor and Marie Krafft Eminent Professor and founding chair of the Department of Scientific Computing at Florida State University. Over the past five decades, Gunzburger has authored or co-authored more than 300 journal articles, several books and other publications on topics including numerical analysis, scientific computing, data science, optimization and control, computational geometry, grid generation, uncertainty quantification, and partial differential and integral equations. Applications for this research cover diverse areas including fluid and solid mechanics, anomalous diffusion processes, climate, superconductivity, subsurface flows, fracture mechanics, materials, image processing, crystal growth, acoustics, electromagnetics, finance, and biology. On more than one occasion, he wrote the first paper or one of the first papers tackling a subject from a computational science perspective. Gunzburger is a Society for Industrial and Applied Mathematics Charter Fellow and winner of numerous awards including the prestigious W.T. and Idalia Reid Prize in Mathematics. His research has been funded by the National Science Foundation, departments of Energy and Commerce, U.S. Air Force Office of Scientific Research, U.S. Army Research Office, U.S. Office of Naval Research, NASA, and NATO, among others. This event is sponsored by the Department of Scientific Computing, the College of Arts and Sciences, NewSci Labs, and Knowli Data Science. Event Agenda 09:00 AM - 09:05 AM - Welcome 09:05 AM - 10:15 AM - Lecture 1 10:15 AM - 10:45 AM - Morning Break (30 min) 10:45 AM - 12:00 PM - Lecture 2 12:00 PM - 01:30 PM - Lunch (provided for pre-registered in-person attendees) 01:30 PM - 01:35 PM - Welcome 01:35 PM - 02:45 PM - Lecture 3 02:45 PM - 03:15 PM - Afternoon Break (30 min) 03:15 PM - 04:30 PM - Lecture 4 Location Room 1050 of Earth, Ocean and Atmospheric Sciences Building (EOA) - 1011 Academic Way, Tallahassee, Florida 32306 For remote attendees, please use the below link to register on zoom: https://fsu.zoom.us/meeting/register/tJ0oceiupzsrH9FA_RjJ8W57ofIqiGs5TUw8 ___________ For learners of all levels; beginners, intermediate and advanced. Course Promo Code After the event, we will provide a limited number of promotional code for attendees who complete a post-event survey sent by DeepLearning.AI. With this promo code, learners can avail 50% off the first month subscription for any DeepLearning.AI course on Coursera. You can check out a full list of courses here. About Pie & AI: Pie & AI is a series of DeepLearning.AI meetups independently hosted by our global AI community. Events typically include conversations with leaders in the world, thought-provoking discussions, networking opportunities with your fellow learners, hands-on project practice, and pies (or other desserts you prefer.) If you are interested in hosting a local Pie & AI event for us in other cities and becoming one of our global ambassadors, send us a note at [email protected]!