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DTEND;TZID=America/Halifax:20241203T235959
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SUMMARY:Not another bloody talk about ‘AI’; or\, these things are interesting and may be useful with lots of caveats
DESCRIPTION:3 December 2024 \n\n\n\nThis workshop takes place from 11:30-12:30 (Eastern) in Perez Hall room 302 \n\n\n\nThe hype cycle around ‘ai’ induces whiplash\, things move so fast. And for many reasons\, the deployment of these – what shall we call them: neural models? Language models? Artificial (un)Intelligence? – are done in ways that diminish human dignity\, or endanger us (think: energy demands). DR. SHAWN GRAHAM (Dept. of History at Carleton University) will join us to discuss his recent experience working with students on trying to grapple with what AI does to the doing of history\, and share some of their initial conclusions from our year-long investigation. \n\n\n\nEnglish presentation.
URL:https://ccdhhn.ca/workshop/not-another-bloody-talk-about-ai-or-these-things-are-interesting-and-may-be-useful-with-lots-of-caveats/
LOCATION:University of Ottawa\, 50 University Private\, Ottawa\, Ontario\, K1N 6N5\, Canada
CATEGORIES:1-4 hour workshop
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DTSTART;TZID=America/Halifax:20241205T000000
DTEND;TZID=America/Halifax:20241205T235959
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LAST-MODIFIED:20241114T172318Z
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SUMMARY:Introduction to Machine Learning: Classification and Clustering
DESCRIPTION:Date: 5 December 2024 \n\n\n\nThis workshop offers an exploration of machine learning models for clustering and classification. With the increasing availability of large datasets\, these models play a crucial role in extracting valuable insights and making informed decisions. In this workshop\, participants will gain insight into clustering algorithms such as K-means\, explore popular classification algorithms like decision trees\, and learn about anomaly detection. Through a combination of lectures and hands-on exercises\, participants will learn how to preprocess data\, select relevant features\, and evaluate model performance. By the conclusion of the workshop\, participants will have a solid foundation in building and deploying machine learning models for clustering and classification tasks. \n\n\n\nIn 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\nInstructor: Aisha Eldeeb
URL:https://ccdhhn.ca/workshop/introduction-to-machine-learning-classification-and-clustering-2/
LOCATION:Québec
CATEGORIES:1-4 hour workshop
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BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20241212T000000
DTEND;TZID=America/Halifax:20241212T235959
DTSTAMP:20260403T103841
CREATED:20241114T172552Z
LAST-MODIFIED:20241114T173210Z
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SUMMARY:Introduction to Machine Learning: Neural Networks
DESCRIPTION:Date: 12 December 2024 \n\n\n\nIn 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\nInstructor: Aisha Eldeeb
URL:https://ccdhhn.ca/workshop/introduction-to-large-language-models-llms-2/
LOCATION:Québec
CATEGORIES:1-4 hour workshop
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DTSTART;TZID=America/Halifax:20241219T000000
DTEND;TZID=America/Halifax:20241219T235959
DTSTAMP:20260403T103841
CREATED:20240422T155915Z
LAST-MODIFIED:20240422T155918Z
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SUMMARY:Annotations (Technical)
DESCRIPTION:In this technical webinar\, LEMDO Project Manager\, Navarra Houldin\, will guide editors through the process of encoding their annotation files.
URL:https://ccdhhn.ca/workshop/annotations-technical/
LOCATION:LEMDO
CATEGORIES:1-4 hour workshop
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BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20241219T000000
DTEND;TZID=America/Halifax:20241219T235959
DTSTAMP:20260403T103841
CREATED:20241114T172857Z
LAST-MODIFIED:20241114T172904Z
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SUMMARY:Introduction to Large Language Models (LLMs)
DESCRIPTION:Date: 19 December 2024 \n\n\n\nThis workshop focuses on Large Language Models (LLM) to provide participants with a foundational understanding of LLM\, their working\, and how to fine-tune a pre-trained LLM for your own data. \n\n\n\nIn 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\nThe first hour of the workshop will be core content and the last 30 minutes will be reserved for questions and hands on experimentation. \n\n\n\nLearning objectives\n\n\n\nAt the end of this workshop\, you will be able to: \n\n\n\nFine tune pre-trained LLM model to customize for a sample dataset. \n\n\n\nUnderstand architecture and working of LLM \n\n\n\nGain knowledge of some popular pre-trained LLM models \n\n\n\nInstructor: Aisha Eldeeb
URL:https://ccdhhn.ca/workshop/introduction-to-large-language-models-llms-3/
LOCATION:Québec
CATEGORIES:1-4 hour workshop
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