Édition #26 du lundi 17 août 2020.


Bonne semaine!

Félix


🏆 Lien le plus populaire la semaine dernière: HBR: The Dumb Reason Your AI Project Will Fail


Articles, nouvelles et annonces

Google open-sources LIT, a toolset for evaluating natural language models
Google-affiliated researchers today released the Language Interpretability Tool (LIT), an open source, framework-agnostic platform and API for visualizing, understanding, and auditing natural language processing models. It focuses on questions about AI model behavior, like why models made certain predictions and why they’re performing poorly with input corpora. LIT incorporates aggregate analysis into a browser-based interface that’s designed to enable explorations of text generation behavior.


Must-Read AI Papers Suggested by Experts
[Re-Work] We asked some of our expert community the papers they would suggest everybody read when working in the field.


[Video] Sebastián Ramírez; Build a machine learning API from scratch with FastAPI
First half: Learn the basics of FastAPI to serve ML models. Second half: build a basic ML API from scratch. From absolute zero to a production-ready, minimal API. Sebastián Ramírez is the creator of FastAPI, Typer, and other open source tools.


Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes
An end-to-end example of deploying a machine learning product using Jupyter, Papermill, Tekton, GitOps and Kubeflow.


Toronto Machine Learning (Virtual) Summit: Call for speakers
We invite submissions to the 4th Annual Toronto Machine Learning Summit (held virtually), a unique, multi-track, conference that explores machine learning research alongside both practical & cutting edge applications and business studies. Abstract Submission Deadline: Sept 1st, 2020 12:00 EST


Privacy Focused Analytics From Scratch
I wanted to learn more about web analytics so I budgeted myself a few hours and built a toy analytics system. The goal was to collect information about page views in a privacy focused manner so that no GDPR notice is required. The system should be able to be used on a third-party host (e.g. GitHub Pages) and the alterations to an existing codebase should be minimal i.e. including a HTML snippet. The web server that captures the tracking requests can be hosted on anything that runs Flask.


Événements

Microsoft - Analytics in a Day
Tuesday 18 August 2020 @ 09:00
Microsoft, in partnership with Hitachi Solutions (Americas) are pleased to invite you to an Analytics in a Day workshop. The first half of the day from 9 am – 1 pm will help you better understand how to: (1) Create an analytics solution that goes from data ingestion to insights using Azure Synapse Analytics and Power BI, (2) Empower self-service analytics and (3) Enable a truly data-driven culture in your business. The second half of the day from 1 pm – 5 pm is optional and will focus on best practices around designing Power BI + Azure Synapse Analytics BI solutions to enable “Discipline at the core and flexibility at the edge”.


Université Laval: Présentations des finissant.e.s de la Maîtrise en informatique – IA
Tuesday 18 August 2020 @ 10:00
Le public présent aura l’occasion d’assister à cinq présentations étudiantes, rattachés à autant de projets de stages, qui toucheront diverses thématiques et approches liées à l’intelligence artificielle – de l’apprentissage automatique au traitement du langage naturel, en passant par des applications dans le domaine de la santé ou encore de l’industrie 4.0. L’accès à l’activité, présentée sur Zoom, est libre et gratuit. Chaque présentation sera d’une durée de 30 minutes, incluant une période de question.


Google Cloud Next OnAir
Tuesday 18 August 2020 @ 12:00
La conférence annuelle de Google Cloud sera en ligne cette année. Celle-ci se tiendra sur 9 semaines avec un thème différent à chaque semaine. Thème cette semaine: Data Management and Databases.


Calcul Québec: Introduction à la programmation avec Python [En ligne; 10$]
Wednesday 19 August 2020 @ 09:00
La meilleure façon d’apprendre à programmer est de réaliser une tâche utile. Cette introduction à la programmation en Python est donc construite autour d’une tâche scientifique courante : l’analyse de données. Le but n’est pas de vous enseigner Python, mais de vous enseigner les concepts de base de la programmation.


DataCamp: Scaling Data Science at your Organization
Thursday 20 August 2020 @ 11:00
In this series of webinars, DataCamp’s Vice President of Product Research Ramnath Vaidyanathan will go over our IPTOP framework (Infrastructure, People, Tools, Organization and Processes) for building data strategies and systematically scaling data science within an organization.


Microsoft Ignite
Tuesday 22 September 2020 @ 09:00
Microsoft Ignite will be launched as a complimentary digital event experience this September. Join us to learn innovative ways to build solutions, migrate and manage your infrastructure, and connect with Microsoft experts and other technology professionals from around the globe.