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SUMMARY:Cultural Heritage Informatics Tools and Approaches
DESCRIPTION:This day of workshops\, led by Dr. Ethan Watrall (Michigan State University) and members of the Carleton X-Lab will explore various cultural heritage informatics tools and approaches\, with a focus towards small/medium heritage/collections holding institutions and projects.
URL:https://ccdhhn.ca/workshop/cultural-heritage-informatics-tools-and-approaches/
LOCATION:Carleton University\, 1125 Colonel By Drive\, Ottawa\, Ontario\, K1S 5B6\, Canada
CATEGORIES:4-10 hour workshop
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DTSTART;TZID=America/Halifax:20240402T080000
DTEND;TZID=America/Halifax:20240402T170000
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SUMMARY:Introduction to Machine Learning: Neural Networks
DESCRIPTION:In this workshop\, participants will dive into the fascinating world of neural networks. Neural networks have emerged as powerful models for solving complex and nonlinear problems. This workshop begins with an introduction to neural networks\, covering their architecture\, activation functions\, and training algorithms. Participants will gain insights into how neural networks can effectively capture and learn complex patterns in images\, making them ideal for tasks like recognizing digits. They will also learn about the importance of preprocessing techniques and streamlining the preprocessing\, training\, and evaluation steps through pipelines. By the end of this workshop\, participants will have a solid foundation in neural networks and the ability to build robust pipelines using Scikit-learn. In this workshop\, we will use cloud-based platforms\, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning\, such as Python and Scikit-learn. As such\, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop. \n\n\n\nDate: Tuesday\, April 2\, 2024\, 1:00pm – 3:00pm Pacific Time \n\n\n\nPresenter: Vedant Bahel \n\n\n\nSign up for other Machine Learning workshops in this series. \n\n\n\nView other upcoming Digital Scholarship workshops. If participants attend all of “Special Topics in Digital Scholarship” series\, it counts as six hours towards the cc:DH/HN certificate.
URL:https://ccdhhn.ca/workshop/introduction-to-machine-learning-neural-networks/
LOCATION:Québec
CATEGORIES:1-4 hour workshop
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DTSTART;TZID=America/Halifax:20240416T000000
DTEND;TZID=America/Halifax:20240416T235959
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CREATED:20240328T013707Z
LAST-MODIFIED:20240328T013757Z
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SUMMARY:Introduction to Natural Language Processing
DESCRIPTION:How do computers understand language? It seems impossible that zeroes and ones could ever add up to words that humans can understand\, but machine language has come a long way in the past few years. Let us take you behind the code to explain how machines simulate language comprehension\, and why it’s a far more complicated problem than “bonjour = hello”. This talk is aimed at an audience who is not necessarily familiar with computers or language comprehension\, but would like a primer to the field\, and what it can realistically do. We will explain natural language processing from the perspective of machines that cannot understand words\, but capture semantic meaning by processing data. \n\n\n\nThis session will take place on: \n\n\n\nTuesday\, April 16th – 1:00pm – 4:00pm (Atlantic time) \n\n\n\nYou do need to have a laptop with a Mac\, Linux or Windows operating system (not a tablet\, Chromebook\, etc) on which you have administrative privileges\, as you will need to pre-load specific software packages. \n\n\n\nParticipants must register using their institutional / organizational email address (not a personal email\, ie. gmail) \n\n\n\nInstructions for how to join will be sent out one day prior to the start of the event.
URL:https://ccdhhn.ca/workshop/introduction-to-natural-language-processing/
LOCATION:Québec
CATEGORIES:1-4 hour workshop
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DTSTART;TZID=America/Halifax:20240429T000000
DTEND;TZID=America/Halifax:20240503T235959
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SUMMARY:Understanding and Deploying the Basics of Generative AI
DESCRIPTION:This four-day workshop (9AM-4PM) will outline the basics of contemporary machine learning to illustrate how Generative A.I.\, such as the text-based ChatGPT and the image-based DALL-E operate. This accessible technical description will be combined with critical readings from science and technology studies\, critical digital studies\, media studies\, and digital humanities that interrogate A.I. from critical race\, post-colonial\, and feminist perspectives. This knowledge is not necessarily intended to make participants “experts” on the topics\, but rather have scholars reflect on how such technologies can add further depth to their own research and provide them vocabulary and expertise to be able to collaborate with scholars who specialize in the technical elements of A.I. At the end of the workshop participants will synthesize these demonstrations and readings\, alongside class discussions\, and produce the outline for a future research paper and/or research creation project involving machine learning and/or Generative A.I.; instructors will provide one-on-one feedback and trouble-shooting on these projects over the four days.
URL:https://ccdhhn.ca/workshop/understanding-and-deploying-the-basics-of-generative-ai/
LOCATION:St Francis Xavier University\, 4130 University Ave\, Antigonish\, Nova Scotia\, B2G 2W5\, Canada
CATEGORIES:20+ hour workshop
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