Introduction to Python & Coding for HSS - Part I & II of the HSS Python Series
2024-11-06 00:00 - 23:59, 2024-11-13 00:00 - 23:59 (America/Halifax) | Ontario
Dates: November 6 & 13, 2024

Description: This is a beginner-level 4-part series for humanities and social sciences researchers (HSS) and librarians. Introduction to Python & Coding for HSS – Parts I & II focus on introducing participants to basic coding concepts and fundamentals to help them confidently participate in high-level conceptual discussions with computer programmers or technical team members. We will use Python due to its vast popularity, easy syntax, and powerful extensions while working in the user-friendly and convenient JupyterLab environment. These general concepts will be reinforced and illustrated with the hands-on development of simple programs that can help with text-based research and analysis immediately.

Participants can continue in the series to apply the Python knowledge with API Querying (Part III) and Textual Analysis (Part IV). It is highly recommended that you complete the 2-part Python series before joining API Querying and Textual Analysis. For the Python workshops, you do not need any previous knowledge of the tools that will be presented or prior programming experience.

Technical requirements: Install Python using Anaconda. To run Python, we are going to use Jupyter Notebooks via JupyterLab. If you installed Anaconda, JupyterLab is installed on your system.

Literary Divisions (Editorial-Technical)
2024-11-07 00:00 - 23:59 | LEMDO
In this hybrid editorial-technical webinar, LEMDO Director Janelle Jenstad will explain how to “Create Acts, Scenes, and Characters Lists in Your Modernized Text.”

The webinar will cover the basics of literary divisions and character lists; offer tips on dealing with tricky literary divisions like choruses, inter-act unit, prologues, and epilogues; and go through some of the trickier challenges in dealing with evolving speech prefixes, character groups, and unnamed characters. TEI-XML skills: We will focus on the , , , , , , , and
elements.

Anthology leads, current editors, prospective editors, and LEMDO-curious students and scholars are very welcome!

Led by: Janelle Jenstad

Visualizing with Power BI
2024-11-11 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 11 November 2024

This workshop covers the basic of using Power BI to create visualizations. We will look at data cleaning, creating impactful charts, and building interactive dashboards. Discover how to tell your data story effectively and make informed decisions. No previous experience needed.

Learning Outcomes: Construct basic visualizations using Power BI. Be able to critique the accessibility and design features of graphs.

Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre’s Online Learning Catalogue.

Facilitator Bio:

Subhanya (she/her) brings a background of research in data justice, science and technology studies, and environmental humanities. She is currently thinking through participatory data design which allow for visualizations that are empowering for the end user.

Introduction to Regular Expressions (Regex)
2024-11-11 00:00 - 23:59 | Ontario
Date: 11 November 2024

Regular expressions are used to find “strings” in text documents. Strings are sequences of characters, and regular expressions excel at finding them. If you need to find anything beyond exact character matches with or without general case insensitivity, then it is time to consider leaving behind standard tools for finding text and embracing regular expressions. In particular, regular expressions excel at finding patterns of characters within text. It can be applied to many applications and programming languages.

Technical requirements: if you are on Windows, we recommend that you install Git for Windows (instructions here). Linux and macOS already have their own terminal.

These are introductory, beginner-level sessions. No prior experience or knowledge is required. The workshop leverages lessons from Library Carpentry, part of the larger Carpentries community that teaches researchers worldwide foundational coding and data science skills.

Visualizing Your Research Impact
2024-11-12 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 12 November 2024

The ability to create effective visualizations of your research impact is a valuable skill when competing for grants, awards, and attention in a crowded research landscape. In this workshop we will explore best practices for generating simple, eye-catching graphics to communicate your impact from a variety of perspectives (from citation rates to collaboration networks to media attention).

Learning Outcomes: Attendees will learn how to: 1) Generate ready-made impact visualizations within a variety of bibliometric tools at McMaster. 2) Utilize raw bibliometric data to create custom visualizations within a variety of tools (Excel, VosViewer, Datawrapper). 3) Effectively incorporate research impact visualizations into reports, grant applications, and award nominations.

Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre’s Online Learning Catalogue.

Facilitator Bio:

Jack Young (he/him) is McMaster’s Research Impact Librarian, supporting the use of bibliometric data to enhance the reporting and strategic planning practices of the University’s academic departments, institutes, and researchers.

Introduction à la gestion des données de recherche et nettoyage de données avec OpenRefine [en ligne, DAT101]
2024-11-12 00:00 - 23:59 | Ontario
12 novembre 2024

Dans cette formation, vous aurez un bref aperçu des concepts clés associés à une bonne gestion des données. Vous découvrirez aussi les bonnes pratiques de nettoyage de données à l’aide du logiciel OpenRefine. Le logiciel ouvert OpenRefine permet le nettoyage et la mise en forme de données dans une interface conviviale. Parmi ses avantages, on retrouve la possibilité de conserver le fichier original intact, de garder une trace des manipulations sur les données et d’annuler une modification facilement.

Inscription

Participant académique : 10$

Participant non-académique : 200$

Prérequis

Comprendre les concepts de fichiers et dossiers;

Connaitre les notions statistiques suivantes: moyenne, écart-type, distribution normale.

Plan de cours

Introduction à la gestion des données de recherche

Nettoyage de données avec OpenRefine

Filtres et « facetting »;

Transformations communes;

Identification et correction de mauvaises entrées et erreurs de frappe;

Utilisation du langage GREL;

Automatisation des modifications;

Réconciliation des données;

Bonification de données (API).

Formateur

Caroline Baril,Lina Harper, analyste en calcul informatique de pointe à Calcul Québec.

Langue du cours

Français

Prérequis techniques

Nous utiliserons Zoom comme plateforme. Comme il s’agit d’un atelier pratique, il est utile d’avoir deux écrans afin de pouvoir afficher l’écran de l’instructeur d’un côté et votre propre écran de l’autre.

Nous utiliserons aussi l’interface Jupyter Lab. Assurez-vous d’avoir un navigateur Web moderne tel que Google Chrome, Firefox, Edge ou Safari.

Contact

Pour toutes questions, écrivez-nous à formation@calculquebec.ca.

N﻿otes

La formation n’est pas enregistrée;

La formation pourrait être annulée advenant un nombre trop peu élevé d’inscriptions.

Build Your Own Chatbot: Local Applications in Generative AI on your Laptop
2024-11-13 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 13 November 2024

Everyone is familiar with cloud-based generative AI, like ChatGPT. However, the driving technology behind most modern AI systems — the transformers-based Larage Language Model architecture — is flexible enough to run on recent commodity hardware like your latop.

In this workshop, we will explore the technology behind AI systems and set up and use a basic AI on your laptop you can chat with.

Details: Any preparatory work for the session can be found on its information page. This in-person workshop will not be recorded.

Facilitator Bio: John Fink (he/they) is the Digital Scholarship Librarian at McMaster University Library. Their talents lie in complex and innovative systems administration and project management. He also has an interest in the maker/hacker element in digital scholarship, and is frequently spotted tinkering with esoteric hardware. If you are interested in having the Sherman Centre support your project, John is an excellent first contact.

Analyse et visualisation de données avec Python [en ligne, DAT201]
2024-11-13 00:00 - 23:59 | Ontario
Séance 1 (2024-11-06)

Séance 2 (2024-11-13)

La programmation est un outil polyvalent qui permet de mener à terme des projets variés, dont l’analyse de vos données, leur manipulation et l’automatisation de tâches. Cette formation vous permettra de découvrir la programmation et de réfléchir à son intégration dans un projet de recherche. Les concepts abordés existent dans la plupart des langages de programmation. Cet atelier est donc pertinent même si vous souhaitez analyser vos données avec un langage autre que Python.

Inscription

Participant académique : 10$

Participant non-académique : 200$

Prérequis

Comprendre les concepts de fichiers et dossiers;

Avoir suivi UNX101 ou connaitre les bases de la ligne de commande Unix.

Plan de cours

Les bases

Analyse de données

Visualisation

Les listes

Répétitions d’opérations

Expressions conditionnelles

Fonctions

Formateur

Charles Coulombe, analyste en calcul informatique de pointe à Calcul Québec.

Prérequis techniques

Nous utiliserons Zoom comme plateforme. Comme il s’agit d’un atelier pratique, il est utile d’avoir deux écrans afin de pouvoir afficher l’écran de l’instructeur d’un côté et votre propre écran de l’autre.

Nous utiliserons aussi l’interface Jupyter Lab. Assurez-vous d’avoir un navigateur Web moderne tel que Google Chrome, Firefox, Edge ou Safari.

Contact

Pour toutes questions, écrivez-nous à formation@calculquebec.ca.

N﻿otes

La formation pourrait être annulée advenant un nombre trop peu élevé d’inscriptions.

La formation n’est pas enregistrée;

Introduction to Data Analysis with SPSS
2024-11-14 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 14 November 2024

This beginner-level workshop will introduce you to the basics of SPSS statistical software, how it works, and some basic descriptive statistics and statistical procedures. No prior knowledge of SPSS is required. This session will be recorded and made available openly.

Learning Outcomes: Get started with data analysis using SPSS after learning various functionalities of the software application.

Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre’s Online Learning Catalogue.

Facilitator Bio:

Vivek Jadon (he/him) provides research support in the use of numeric research data. As part of his role, Vivek is McMaster University’s official representative for Statistics Canada’s Data Liberation Initiative (DLI) program and Inter-university Consortium for Political and Social Research (ICPSR). Both of these programs provide researchers with vast archive of research data from various disciplines for high quality research and instruction. Vivek is also involved in building awareness and promoting RDM activities/services at McMaster.

Introduction to revision control with Git [online, GIT101]
2024-11-14 00:00 - 23:59 | Ontario
Date: 14 November 2024

Whether you’re working on a development or analysis project, version control allows you to keep track of your work while facilitating coordination with your colleagues. This workshop will introduce you to the basics of source code control with Git, the version control software recommended by our team.

Registration

Academic participant : 10$

Non-academic participant : $200

Prerequisites

Knowing the keyboard combinations for these characters: [ ] ( ) { } ! $ | * # @ & / < > ~ ‘ «

Understanding the notions of file and directory.

UNX101 completion or knowledge of the basics of the Unix command line.

Course plan

Introduction to version control;

Git configuration;

Repository creation;

Version tracking;

Exploring version history;

Ignoring certain files;

Remote repositories;

Working with others;

Conflict management.

Instructor

Charles Coulombe, analyst in advanced research computing at Calcul Québec.

Technical prerequisites

We will use the Zoom platform. Because this event is a practical workshop, it is very useful having a secondary screen where you would get the instructor window on one screen and your own window on your main screen.

We will use the Jupyter Lab interface. Make sure you have a modern Web browser like Google Chrome, Firefox, Edge or Safari.

Contact

For any question, please write to training@calculquebec.ca.

Notes

The workshop is not recorded;

The workshop could be canceled if the number of registrations is too low.

Comment créer des récits interactifs avec ArcGIS StoryMaps
2024-11-14 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
Comment créer des récits interactifs avec ArcGIS StoryMaps

ARCGIS StoryMaps est une plateforme de création de récits cartographiques immersive qui permet aux utilisateurs de combiner des cartes interactives, des médias audiovisuels et du texte pour raconter des histoires de manière captivante. En intégrant la cartographie dynamique avec des éléments narratifs, ARCGIS StoryMaps permet de partager des contenus de manière engageante et accessible, facilitant ainsi la communication visuelle de données et d’analyses.

La première partie de l’atelier propose un tour d’horizon des principales fonctionnalités de ARCGIS StoryMaps et des étapes nécessaires pour vous lancer dans la création de votre premier récit interactif. Dans la deuxième partie de l’atelier, notre équipe sera là pour vous aider à créer votre premier récit en ligne adapté selon vos champs d’intérêts et besoins.

Atelier présenté et animé par Simon Côté-Lapointe

Simon Côté-Lapointe est bibliothécaire en histoire, philosophie, sciences des religions et linguistique et responsable des humanités numériques à l’UQAM. Il est détenteur d’un doctorat en sciences de l’information portant sur les archives audiovisuelles. Les méthodes et outils numériques pour la recherche ainsi que la gestion, l’organisation, la préservation et la diffusion des données et documents sont parmi ses champs d’intérêt.

Guides liés: Humanités numériques by Simon Côté-Lapointe

Nettoyage des données (utilisation d’un tableur pour organiser ses données)
2024-11-18 00:00 - 23:59 | Ontario
Date: 18 novembre 2024

Description: cet atelier vise à enseigner les concepts de base et quelques outils permettant de faciliter et d’accélérer la manipulation de données. Vous apprendrez les bonnes pratiques de la saisie de données, les erreurs de formatage les plus courantes à éviter, différentes approches pour entrer des dates correctement dans un tableur, une méthode de contrôle de qualité de base et comment exporter les données. L’atelier est basé sur le matériel de Library Carpentry et contient des exemples issus des sciences humaines et sociales et des domaines de recherche d’information.

Requis techniques: avant l’atelier, assurez-vous d’avoir installé un logiciel d’édition de tableurs. Library Carpentry suggère LibreOffice.

Comment raconter les récits archéologiques en TEI et CIDOC-CRM?
2024-11-19 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
Date: 19 novembre 2024

Cet atelier a lieu de 11h30 à 12h30 (heure de l’Est) dans la salle 302 du Perez Hall.

En exploitant le potentiel des humanités numériques, nous pouvons explorer comment leurs approches, combinées aux sources originales écrites, nous permettent de repenser la façon dont les connaissances sont structurées, partagées et interopérables sur le web. La doctorante ALICE DEFOURS (dépt. de communication à l’uOttawa) nous rejoindra pour discutera de sa recherche doctorale, qui vise à publier une édition numérique d’un ensemble de données d’artefacts tangibles qui est interactive, critique et enrichie par des données ouvertes liées.

Présentation française.

Introduction aux expressions régulières
2024-11-19 00:00 - 23:59 | Ontario
Date: 19 novembre 2024

Description: les expressions régulières servent à trouver des chaînes de caractères dans des données textuelles, mais avec une syntaxe très puissante. Si vous devez chercher au-delà d’une simple chaîne de caractères, avec ou sans respect de la casse, il est alors temps de considérer l’utilisation des expressions régulières. En effet, les expressions régulières excellent à trouver des patrons de caractères dans des textes, et ce, à partir de plusieurs applications et langages de programmation. C’est ce que nous verrons dans cet atelier basé sur le matériel de Library Carpentry.

Requis techniques: si vous êtes sur Windows, nous recommandons l’installation de Git for Windows (instructions ici). Linux et macOS ont déjà leur propre terminal.

Ces deux ateliers d’introduction sont de niveau débutant. Aucune expérience ou connaissance préalable n’est requise. Ces ateliers sont inspirés des leçons de Library Carpentry, une initiative faisant partie de la communauté des Carpentries qui enseigne aux chercheuses et chercheurs de partout dans le monde les rudiments de la programmation et des techniques de manipulation des données.

Data analysis and visualization with Python [online, DAT201]
2024-11-20 00:00 - 23:59 | Ontario
Date: 20 November 2024

Difficulties encountered while manipulating or analyzing large data sets with spreadsheets can be avoided with Python scripts. In this workshop, you will learn to perform basic data analysis, from loading data to visualizing it. A few software libraries will be introduced, such as Pandas and Altair.

Registration

Academic participant : 10$

Non-academic participant : $200

Prerequisites

PYT101 completion or understanding the basics of object-oriented programming

Course plan

Session 1 (2024-11-20, 09:00 – 12:00)

Pandas and DataFrames;

Indexing, slicing, and selecting datasets.

Session 2 (2024-11-27, 09:00 – 12:00)

Combining datasets;

Automating analysis;

Data visualization with a specialized Python module.

Instructor

Darcy Quesnel, analyst in advanced research computing at Calcul Québec.

Technical prerequisites

We will use the Zoom platform. Because this event is a practical workshop, it is very useful having a secondary screen where you would get the instructor window on one screen and your own window on your main screen.

We will use the Jupyter Lab interface. Make sure you have a modern Web browser like Google Chrome, Firefox, Edge or Safari.

Contact

For any question, please write to training@calculquebec.ca.

Notes

The workshop could be canceled if the number of registrations is too low.

The workshop is not recorded.

Introduction to API Querying for HSS - Part III in the HSS Python Series
2024-11-20 00:00 - 23:59 | Ontario
Date: 20 November 2024

Description: This is a beginner-level 4-part series for humanities and social sciences (HSS) researchers (HSS) and librarians. API Querying & Textual Analysis – Parts III & IV focus on allowing participants to apply basic coding concepts to API querying and text-based analysis. API stands for application programming interface. It acts as a communication interface so different computers/systems can talk to the application hosting the API. Querying APIs in HSS research is useful because data changes rapidly and it is a way to capture a small piece of a much larger set of data.

This is a continuation of the HSS Python Series. It is highly recommended that you complete the 2-part Python series, Introduction to Python & Coding for HSS – Part I & II in the HSS Python Series, before registering for API Querying and Textual Analysis.

Technical requirements: Install Python using Anaconda. To run Python, we are going to use Jupyter Notebooks via JupyterLab. If you installed Anaconda, JupyterLab is installed on your system.

Introduction à uMap et ArcGIS Storymaps
2024-11-20 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
Cette présentation vise à faire un tour d’horizon de uMap et Storymaps, deux logiciels qui permettent de créer des cartes interactives.

L’application en ligne uMap permet de créer et de diffuser des cartes géographiques personnalisées, interactives et collaboratives. uMap est utile pour les chercheurs et étudiants universitaires, car l’application permet de présenter des données sur une carte en ligne et de collaborer à plusieurs personnes sur une même carte, offrant ainsi une plateforme conviviale pour la visualisation et la communication efficace des informations géospatiales.

ArcGIS StoryMaps est une plateforme de création de récits cartographiques immersive qui permet aux utilisateurs de combiner des cartes interactives, des médias audiovisuels et du texte pour raconter des histoires de manière captivante. En intégrant la cartographie dynamique avec des éléments narratifs, ARCGIS StoryMaps permet de partager des contenus de manière engageante et accessible, facilitant ainsi la communication visuelle de données et d’analyses.

Présenté par Katerine Grandmont et Simon Côté-Lapointe

Katerine Grandmont occupe le poste de technicienne en cartographie à la Cartothèque de l’UQAM. Elle détient une maitrise en géographie et a travaillé de nombreuses années dans le domaine de la recherche nordique, notamment à la cartographie des risques en milieux de pergélisol. Elle offre du soutien à la communauté universitaire pour l’utilisation d’outils et logiciels de cartographie et d’analyse spatiale et l’utilisation des données géospatiales.

Simon Côté-Lapointe est bibliothécaire en histoire, philosophie, sciences des religions et linguistique et responsable des humanités numériques à l’UQAM. Il est détenteur d’un doctorat en sciences de l’information portant sur les archives audiovisuelles. Les méthodes et outils numériques pour la recherche ainsi que la gestion, l’organisation, la préservation et la diffusion des données et documents sont parmi ses champs d’intérêt.

Guides liés: Humanités numériques by Simon Côté-Lapointe

Literary Divisions (Technical)
2024-11-21 00:00 - 23:59 | LEMDO
In this technical webinar, LEMDO Project Manager, Navarra Houldin, will explain how we use the TEI attribute @xml:id to number speeches and link speakers in modernized texts.

GIS Drop-In Session
2024-11-21 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 21 November 2024

Do you have any questions about Geographic Information Systems (GIS)? Need help with an analysis tool or troubleshooting an issue? Curious how GIS could be used in your research? Drop-in with your questions, data, or project to get assistance from the Library’s GIS Specialist.

Facilitator Bio:

Christine Homuth (she/her) is the Library’s GIS Specialist, providing support and resources to students, researchers, and faculty members working with Geographic Information Systems (GIS) and geospatial data.

Introduction to Large Language Models (LLMs)
2024-11-21 00:00 - 23:59 | Ontario
Date: 21 November 2024

This 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.

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.

The first hour of the workshop will be core content and the last 30 minutes will be reserved for questions and hands on experimentation.

Learning objectives

At the end of this workshop, you will be able to:

Fine tune pre-trained LLM model to customize for a sample dataset.

Understand architecture and working of LLM

Gain knowledge of some popular pre-trained LLM models

Instructor: Aisha Eldeeb

Data Management for Ethics
2024-11-25 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 25 November 2024

Are you applying for research ethics? Are you unsure what your responsibilities are for managing it or trying to figure out what a good way to manage it is?

In this workshop, we will discuss the foundations of working with sensitive data including how to protect your data, your research participants, and yourself. We’ll take about how and when to de-identify sensitive data, and how to share sensitive data.

Presentation by Isaac Pratt, Research Data Management Specialist. Book an appointment with Isaac or another member of the Sherman Centre Team.

Details: This virtual workshop will be recorded. The recording will be posted to the Sherman Centre’s Online Learning Catalogue.

Facilitator Bio:

Isaac Pratt (he/him) is a research scientist by training and has a PhD in Anatomy & Cell Biology. He leverages nearly a decade of interdisciplinary research experience to help support students, staff, and faculty. His expertise lies in questions surrounding data storage, security, planning, archival, and sharing. Isaac also provides support and curation services for McMaster Dataverse. His other interests include reproducible research methods, open science, and data science.

Introduction to Git and GitHub
2024-11-26 00:00 - 23:59 | Ontario
Date: 26 November 2024

Learn the basics of using Git and GitHub for version control and collaboration. Git is widely used version control software that tracks changes to a group of files, referred to as a repository. GitHub is a popular website for hosting and sharing Git repositories, making it easier to collaborate and share your work. Together, Git and GitHub provide a platform that is increasingly used for collaboration in research and academic environments. In this beginner workshop participants will learn key concepts, create their own Git repository, and publish to GitHub. No previous experience with Git is required. Familiarity with the command line interface will be helpful but is not necessary.

Pre-workshop setup

Please complete the pre-workshop setup to install the Bash shell and Git. If you don’t already have one, create a free GitHub account before the workshop.

This workshop is part of the Core Skills series.

Instructor: Andrew Li

Textual Analysis using Python for HSS - Part IV in the HSS Python Series
2024-11-27 00:00 - 23:59 | Ontario
Date: 27 November 2024

Description: This is a beginner-level 4-part series for humanities and social sciences (HSS) researchers (HSS) and librarians. API Querying & Textual Analysis – Parts III & IV focus on allowing participants to apply basic coding concepts to API querying and text-based analysis. We will use a Python library to analyze textual data and learn about common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and more to explore meaningful trends in language patterns.

This is a continuation of the HSS Python Series. It is highly recommended that you complete the 2-part Python series, Introduction to Python & Coding for HSS – Part I & II in the HSS Python Series, before registering for API Querying and Textual Analysis.

Technical requirements: Install Python using Anaconda. To run Python, we are going to use Jupyter Notebooks via JupyterLab. If you installed Anaconda, JupyterLab is installed on your system.

Introduction aux humanités numériques
2024-11-27 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
Les humanités numériques réfèrent à l’utilisation d’outils et de pratiques numériques dans les sphères des sciences humaines et sociales et des arts et lettres. Le numérique peut intervenir à différents moments d’une recherche en sciences humaines et sociales et en arts et lettres, et ce, peu importe la nature et la portée du projet.

Cette présentation se veut une introduction aux méthodes et outils en humanités numériques ainsi qu’un tour d’horizon des ressources et services offerts au Service des bibliothèques de l’UQAM en lien avec les humanités numériques.

Guides liés: Humanités numériques by Simon Côté-Lapointe

Introduction to Machine Learning: Regression Models
2024-11-28 00:00 - 23:59 | Ontario
Date: 28 November 2024

This workshop focuses on regression models to provide participants with a foundational understanding of machine learning concepts, techniques, and tools used for linear and nonlinear regression. Through a combination of lectures and hands-on exercises, participants will gain practical experience with regression algorithms, one of the most popular machine-learning techniques. The workshop begins with an overview of regression, exploring its various types and applications and continues with training regression models, interpreting the results, and making predictions using real-world datasets. Additionally, participants will gain insights into advanced topics such as regularization and feature selection. By the end of this workshop, you will have a solid understanding of regression models and be familiar with popular Python libraries and tools to implement them.

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.

Instructor: Aisha Eldeeb

Not another bloody talk about ‘AI’; or, these things are interesting and may be useful with lots of caveats
2024-12-03 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
3 December 2024

This workshop takes place from 11:30-12:30 (Eastern) in Perez Hall room 302

The 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.

English presentation.

Introduction to Machine Learning: Classification and Clustering
2024-12-05 00:00 - 23:59 | Ontario
Date: 5 December 2024

This 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.

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.

Instructor: Aisha Eldeeb

Introduction to Machine Learning: Neural Networks
2024-12-12 00:00 - 23:59 | Ontario
Date: 12 December 2024

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.

Instructor: Aisha Eldeeb

Annotations (Technical)
2024-12-19 00:00 - 23:59 | LEMDO
In this technical webinar, LEMDO Project Manager, Navarra Houldin, will guide editors through the process of encoding their annotation files.
