Hub Updates is the UW-Madison data science community's resource for news, trainings & workshops, and professional opportunities in data science.
Have questions about anything data science-related? Come see us 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.
September 7, 2022
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Upcoming Trainings & Workshops
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September - December, 9:00 a.m. to 12:30 p.m. CT, Virtual. The Data Science Hub will be hosting a series of mini workshops starting this fall. This series will include topics such as:
- Sept 28: Intro to Git/GitHub
- Oct 26-27: Intro to Machine Learning with Sklearn
- Nov 16-17: Intro to Docker
- Nov 30: Data Visualization in Python
- Dec 14: Intro to Julia
Oct 19-20, 8:30 a.m. to 12:30 p.m. CT, Virtual. Transformer-based models have revolutionized natural language processing (NLP) by offering accuracy comparable to human baselines on benchmarks like SQuAD for question-answer, entity recognition, intent recognition, sentiment analysis, and more. In this workshop, you’ll learn how to use Transformer models for text classification and named-entity recognition (NER) tasks. You’ll also learn how to analyze various model features, constraints, and characteristics to determine which model is best suited for a particular use case based on metrics, domain specificity, and available resources. For more information and to register ($10 for UW-Madison affiliates), visit the Eventbrite registration page.
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Upcoming Seminars & Events
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Campus Data Science Seminars
SILO Seminar Series, Wednesdays, 12:30-1:30 p.m. CT, Hybrid
Location: Wisconsin Institute for Discovery, Orchard View Room (room 3280) or Zoom
Website: Visit the SILO website to learn more about this seminar series.
ML+X Forum Series, Monthly on Tuesdays, 12-1 p.m. CT, Hybrid
Sept 13: Supervised Learning Applications
- Applications of machine learning models for disease and yield prediction in soil microbiome studies — Rosa Aghdam
- Learning from conflict - using neural networks to detect false negatives in rule based qualitative coding — Zhiqiang Cai
Location: Wisconsin Institute for Discovery, Orchard View Room (room 3280) or Zoom
Student Organization Fair
Sept 13-14, 5-8 p.m., Kohl Center
Panel Discussion with NVIDIA: 5 Paths to a Career in AI
Sept 19, 10-11:30 a.m. CT, Virtual. Deep learning has led to many recent breakthroughs in AI, such as Google DeepMind’s AlphaGo, self-driving cars, intelligent voice assistants, and many more. Have you wondered what deep learning is and how to start your career in the field? Look no further: join our panel of NVIDIA professionals to discuss the art of deep learning, a day in the life of a DL engineer at NVIDIA, and secret tips on staying ahead in the craft. To learn more and register for this free event, visit NVIDIA's career panel event page.
Panel Discussion with NVIDIA: How to be a Deep Learning Engineer
Sept 19, 3-4 p.m. CT, Virtual. Deep learning has led to many recent breakthroughs in AI, such as Google DeepMind’s AlphaGo, self-driving cars, intelligent voice assistants, and many more. Have you wondered what deep learning is and how to start your career in the field? Look no further: join our panel of NVIDIA professionals to discuss the art of deep learning, a day in the life of a DL engineer at NVIDIA, and secret tips on staying ahead in the craft. To learn more and register for this free event, visit the deep learning panel event page.
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Graduate Fellowship Program, NVIDIA
NVIDIA has long believed that investing in university talent is beneficial to the industry and key to our continued growth and success. The NVIDIA Graduate Fellowship Program provides funding in the amount of up to $50,000 per award to PhD students who are researching topics that will lead to major advances in accelerated computing and its applications. NVIDIA particularly invites submissions from students pushing the envelope in artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients not only receive crucial funding for their research, but are able to conduct groundbreaking work with access to NVIDIA products, technology and some of the most talented minds in the field. For more information on eligibility and how to apply, visit NVIDIA Graduate Fellows & Fellowship Opportunities. Submissions close September 9.
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