Montreal Data

Articles, nouvelles et annonces

Le Devoir: L’intelligence artificielle au service des emplois en région
Un « algorithme de match » de la Fédération des chambres de commerce du Québec a mené plus de 1000 immigrants à une entrevue avec un employeur.

McKinsey: The state of AI in 2020
Table of contents
1. AI adoption and impact
2. What separates the best from the rest
3. Managing AI risks
4. The COVID-19 effect

Nouveau cours de MIT Open Learning Library: Introduction to Machine Learning
Length: 13 weeks
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences.

BCG Gamma: A Serverless Approach to Data Warehousing
The following article will walk you through the journey we embarked on to create a decoupled, high performing, resilient, and scalable data platform — while under tight deadlines and a mandate to keep costs in check. We believe that our approach can be replicated and easily integrated into many existing pipelines.

MIT Sloan: How to build a data analytics dream team
Data analytics have become a key part of business success — and capitalizing on data depends on building the right team. From high-tech roles to business-facing experts, here’s where to start.

Netflix: A Day in the Life of a Content Analytics Engineer
"What do I do at Netflix? I’m a Senior Analytics Engineer on the Content and Marketing Analytics Research team. My team focuses on innovating and maintaining the metrics Netflix uses to understand performance of our shows and films on the service. We partner closely with the business strategy team to provide as much information as we can to our content executives, so that — combined with their industry experience — they can make the best decisions for Netflix."

Événements

AWS re:Invent 2020
Monday 30 November 2020 @ 09:00
Nov. 30 – Dec. 18, 2020
A free, 3-week virtual conference. Enjoy unlimited access to hundreds of sessions led by AWS experts. Hear from cloud leaders and be the first to learn what’s new.

Meetup Montréal-Python 81 – Ochre Libation
Monday 30 November 2020 @ 18:00
Dans notre nouvelle formule courte, on se limite à trois ou quatre présentations pour un total de 60 minutes. Les présentations seront suivies par un 5-à-7 virtuel sur notre nouveau serveur Jisti privé, gracieuseté de notre partenaire FJNR.

Github Universe
Tuesday 08 December 2020 @ 12:00
Join GitHub team leaders, industry icons, and artists inspired by code for three days of live interactive sessions as we explore the future of software for developers, enterprises, and students.

Governing an Algorithm in the Wild
Tuesday 08 December 2020 @ 15:00
On Tuesday, December 8 from 3 – 4 p.m. ET, join us for a conversation with Scientist and Researcher David Robinson and Data & Society Senior Researcher Alex Rosenblat on algorithmic governance.
Algorithms make a wide range of morally important decisions, and many people now argue that members of the public should be more directly involved in deciding the moral tradeoffs that such systems entail. But most ideas for public or stakeholder involvement are still on the drawing board, and there are few real stories of public deliberation over the design of a morally important algorithm. This talk explores one such story.

Meetup PyData Montreal #15: online event
Wednesday 16 December 2020 @ 18:00
Talk #1: "Continuous integration for Machine Learning" by Elle O'Brien
Talk #2: "Testing production Machine Learning systems" by Josh Tobin