Montreal Data

Articles, nouvelles et annonces

L'intelligence artificielle à la rescousse du journalisme
Article de Patrick White, professeur de journalisme à l'UQAM. Extrait: "Francesco Marconi, professeur de journalisme à l’Université Columbia, à New York, [...] vient de lancer un ouvrage de référence sur le sujet : Newsmakers, Artificial Intelligence and the Future of Journalism. [...] Sa théorie est limpide et sans appel : le monde journalistique évolue moins vite que les nouvelles technologies. Il faut ainsi profiter des avantages que peut procurer l’IA dans une salle de rédaction et penser à un nouveau modèle d’affaires."

The Zen of Python: Write Beautiful Code
To write perfect code is possible. Moreover, it is advantageous. Adding elegance and clarity to your code, you are laying the strong foundation for improving not only your technical skills but also your relationships with others who read your code.

What’s happened to the data science job market in the past month
In this post I’ll break down what we’ve been seeing in the data science job market over the past month.

Google Open Sources SimCLR, A Framework for Self-Supervised and Semi-Supervised Image Training
The new framework uses contrastive learning to improve image analysis in unlabeled datasets.

Why we deploy machine learning models with Go — not Python
There’s more to production machine learning than Python scripts

Événements

[ONLINE] Meetup Montréal-Python #76
Monday 20 April 2020 @ 17:30
La présentation principale sera donnée par Emmanuelle Gouillart de chez Plotly qui va nous parler, en anglais, de traitement d’image interactif avec scikit-image et Dash. On cherche toujours des présentations courtes (5 à 20 minutes) sur les sujets suivants: * Analyse et visualisations de données en Python. * Évolution de la crise COVID-19. * Prototypage rapide en Python. * Astuces pour être productifs avec ses outils de développement.

[ONLINE] Reducing Machine Learning Inference Cost for PyTorch Models
Tuesday 21 April 2020 @ 16:00
In deep learning applications, inference accounts for up to 90% of compute cost. To reduce this high inference cost, you can use Amazon Elastic Inference, which allows you to attach just the right amount of GPU-powered inference acceleration to any EC2 or SageMaker instance type or ECS task.

[ONLINE] Make Montreal better through data science
Tuesday 21 April 2020 @ 19:00
We will discuss progress on the Maison Des Femmes project, new project opportunities and welcome any newcomers. Everybody is welcome! Stay tuned for details how to connect.

[ONLINE] AWS | Databricks Cloud Data Lake Dev Day Virtual Workshop
Wednesday 22 April 2020 @ 09:00
In this virtual workshop, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your AWS investments to make your data lake analytics ready.

[ONLINE] Analytics in Production with Apache Flink SQL
Tuesday 28 April 2020 @ 12:45
Successful data-driven organizations go beyond just discovering valuable insights once, but do so continuously and in real-time. As stream processing frameworks like Apache Flink become the norm for real-time analytics and event-driven applications, SQL is making a comeback as a way to lower the entry barrier to streaming. But how do you take the leap from analytics-based historical data to real-time insights on streams?

[ONLINE] DataOps.NEXT Hitachi Vantara Virtual Conference
Thursday 14 May 2020 @ 09:00
Solve your complex data management issues with fresh and practical insights from this no cost one-day virtual conference. Join us for the latest insights on how to unleash DataOps across your entire data lifecycle - onboarding and preparation, governance and agility, data fabric optimization, and analytics and machine learning.