2023 Midwest Machine Learning Symposium
May 16-17, 8:30 a.m. to 6:00 p.m., The Midwest ML Symposium will be held at the University of Illinois Chicago and aims to convene regional machine learning researchers for stimulating discussions and debates, to foster cross-institutional collaboration, and to showcase the collective talent of ML researchers at all career stages. The symposium will feature an exciting lineup of plenary and invited speakers complemented by a groundbreaking number of posters and an industry panel. Registration is free. For more information and to register, visit the 2023 MMLS webpage.
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Health Sciences Data Carpentry
May 15-18, 9:00 a.m. to 12:30 p.m., The Data Science Hub will be hosting a workshop during the month of May. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. For more information and to register, visit the Health Sciences Data Carpentry workshop page.
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Computational Cell Biology Workshop
Due May 17, The Computational Cell Biology workshops is an intense in-person, hands-on course designed to help cell biologists and biophysicists to develop mathematical models of their experimental system. Participants will be taught how to use VCell, COPASI, and SpringSalad software to develop spatial and non-spatial models using deterministic, stochastic, agent- and rule-based approaches. Organized by the Center for Cell Analysis and Modeling (CCAM) at the University of Connecticut School of Medicine (UConn Health). For more information and to apply, visit the Computational Cell Biology workshop webpage.
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Introduction to Deep Learning with Keras
May 31 - June 2, 8:30 a.m. to 12:30 p.m., The Data Science Hub is hosting a virtual Intro to Deep Learning with Keras workshop. This is a hands-on introduction to the first steps in deep learning, intended for students and researchers who are familiar with…
- machine learning, including data cleaning, train & test splits, type of problems (regression, classification), overfitting & underfitting, metrics (accuracy, recall, etc.)
- python programming, including the Pandas package
For those who meet the above prerequisites, visit the workshop webpage to register and for more information.
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Have questions about anything data science-related? Come see the Data Science Hub facilitators at Coding Meetup on Tuesdays and Thursdays from 2:30-4:30 p.m. CT. To join Coding Meetup, join data-science-hubgroup.slack.com.
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Sensemaking Lectures
May 10, 3:00 p.m., GRAILE is launching a 12-month speaker series: Sensemaking Lectures. Each month, a speaker will frame a theme of discussion and conversation. Following the lecture, discussions will be held reviewing important literature and exploring implications in educational settings. These discussions will happen asynchronously, with periodic Zoom discussions, with a global community of interested researchers.
For the month of May, Bryan Alexander will be giving a talk on "Generating Chaos: A Futurist Considers AI Over the Next Decade." For more information and to register, visit the Sensemaking Lectures webpage.
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SILO Seminar Series
Wednesdays, 12:30 p.m., SILO is about breaking down the systems, information, leaning, and optimization of research created by academic department boundaries. Recent advances in information science are allowing scientists and researchers to sense, process and share data in ways and scales previously impossible. These developments have the potential to benefit work happening in a wide range of disciplines. SILO’s purpose is to help realize such potential by providing the time and space for researchers to present and interact to find common threads. Visit the SILO webpage for information about their upcoming talks.
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ML+Coffee Social
May 3, 3:00 p.m. to 5:00 p.m., Want to discuss Machine Learning projects and connect with the presenters following this event? Come to the ML Community's monthly social — ML+Coffee. This social will be taking place at Hub Central Lobby of the Discovery Building. The lobby area is located outside of Room 1156 (1st floor) on the west side of the building. Show up anytime and stay as long as you like! Laptops are encouraged.
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For Your Eyes Only: An Introduction to Cryptography with Python
May 11, 6:30 p.m. to 8:00 p.m., Madison Public Library - Central , This talk will cover the basics of symmetric and asymmetric encryption, signing vs. encrypting, and the libraries that make it work in Python. It will be led by Eric Staats, who is a mostly self-taught software developer working at Verve Industrial. Outside of using Python professionally, he enjoys dabbling in the full stack web world with Flask and FastAPI (and React). Outside of programming entirely, he enjoys road biking and playing guitar. Visit the event page to RSVP.
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2023 North American School of Information Theory
Due June 1, The 2023 North American School of Information Theory will be held from Monday, June 19th to Friday, June 23rd at University of Pennsylvania in Philadelphia, PA, USA. The school will offer graduate students and postdoctoral researchers the opportunity to learn from leading experts in information theory through short courses and talks as well as the chance to present their own work.
Graduate students and postdoctoral researchers in North America working on problems of information theory and learning in a broad sense are encouraged to apply with the title and a short abstract of a poster they would like to present. The school will also have an industry event, poster sessions, as well as other panels. For more information and to register, visit the 2023 NASIT webpage.
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Data Scientist
Due May 5, The School of Medicine and Public Health is seeking a highly motivated individual to join their informatics team in furthering their research and outreach activities. The Carbone Cancer Center at the University of Wisconsin School of Medicine and Public Health is pursuing many data research endeavors to advance research from clinic to translation. The data scientist will work with other members of the Informatics team to develop and implement data pipelines from operational databases, map and harmonize data into clinical research data repositories, as well as run QA and QC pipelines to validate and ensure quality control. For more information and to apply, visit the Data Scientist job posting.
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DATA VISUALIZATION OF THE WEEK
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The Academic Data Science Alliance (ADSA) is a network of academic data science practitioners, educators, and leaders, and academic-adjacent colleagues, who thoughtfully integrate data science best practices in higher education. UW-Madison is a founding member of ADSA.
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Data Science Updates is a collaborative effort of the Data Science Institute and Data Science Hub.
Use our submission form to send us your news, events, opportunities and data visualizations for future issues.
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