Montreal Data

Articles, nouvelles et annonces

Popular Python Time Series Packages
This note lists Python libraries relevant to time series prediction. They are ranked by monthly downloads in the last 30 days, which is no guarantee of quality. For some we've added a "hello world" example in timeseries-notebooks, to help you cut through the many different conventions.

[MIT Technology Review] A radical new technique lets AI learn with practically no data
“Less than one”-shot learning can teach a model to identify more objects than the number of examples it is trained on.

Python Developers Survey 2020 Results
This is the fourth iteration of the official annual Python Developers Survey, conducted as a collaborative effort between the Python Software Foundation and JetBrains. In October 2020, more than 28,000 Python developers and enthusiasts from almost 200 countries/regions took the survey to reveal the current state of the language and the ecosystem around it.

A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix
We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production. You’ll read about their backgrounds, what best prepared them for their current role at Netflix, what they do in their day-to-day, and how Netflix contributes to their growth in their data science journey.

[Faceboook AI] SEER: The start of a more powerful, flexible, and accessible era for computer vision
We’ve developed SEER (SElf-supERvised), a new billion-parameter self-supervised computer vision model that can learn from any random group of images on the internet — without the need for careful curation and labeling that goes into most computer vision training today.

Événements

Meetup: Introduction à la programmation avec Python
Saturday 13 March 2021 @ 13:00
L’atelier s’adresse à un public adulte et se déroulera en français, avec possibilité de poser des questions en anglais. Aucune connaissance préalable exigée ou assumée :)

Datavore
Tuesday 16 March 2021 @ 08:00
16-17 mars 2021
Datavore, c’est un événement qui interpelle les passionnés de données qui en veulent toujours plus. Incontournable sur la scène de l’analytique au Québec depuis 14 ans, Datavore donne lieu à des apprentissages de toutes sortes: échanges sur les pratiques, partage d’expériences, rencontres fructueuses et nouvelles perspectives. L'édition 2021 sera 100% en ligne!

Lunch & Learn avec Laurent Charlin
Tuesday 16 March 2021 @ 12:00
Pendant cet événement vous aurez la chance d’en apprendre davantage sur les systèmes de recommandation présentés par Laurent Charlin, professeur à HEC Montréal dans le département de sciences de la décision et membre du MILA - Institut québécois d'intelligence artificielle.

Meetup PyData Montreal #18: Data Engineering and Data Management
Friday 19 March 2021 @ 18:00
Talk 1: "The Python ETL: Airflow Vs. Luigi" by Ben Rogojan
Talk 2: "Full Stack Deep Learning: Data Management" by Sergey Karayev

Developing Data Democratization in Government
Thursday 08 April 2021 @ 15:00
Join Alex Scriven, a Senior Data Scientist from the New South Wales Government in Sydney, Australia as he breaks down what data democratization means in a government environment. He will also provide specific, actionable best practices for growing data democratization in government and outline some interesting case studies for what can happen when democratization in government begins to take hold.