Montreal Data

Articles, nouvelles et annonces

Effective testing for machine learning systems
In this blog post, we'll cover what testing looks like for traditional software development, why testing machine learning systems can be different, and discuss some strategies for writing effective tests for machine learning systems. We'll also clarify the distinction between the closely related roles of evaluation and testing as part of the model development process. By the end of this blog post, I hope you're convinced of both the extra work required to effectively test machine learning systems and the value of doing such work.

6th Annual Report on Global Open Source Software Development
The universal desire for faster innovation demands efficient reuse of code, which in turn has led to a growing dependence on open source and third-party software libraries. These artifacts serve as reusable building blocks, which are fed into public repositories where they are freely borrowed by millions of developers in the pursuit of faster innovation.
Now in its sixth year, Sonatype’s State of the Software Supply Chain Report continues to examine compelling and measurable practices of secure open source software development and delivery.

An Intake Form for Data Requests
A couple of weeks ago, I posted a question from our data team’s intake form on Twitter, which kicked off a conversation around intake forms more generally. I got many requests to share more about our data team’s intake form and I’m happy to do that in this post.

Facebook wants to make AI better by asking people to break it
The new kind of test pits machine-learning models against humans who do their best to fool them.

The Role of a Chief Data Officer Explained
As data becomes more important in the business world, responsibility for how it’s collected, managed and used increasingly lands on the CDO.

Awesome Competitions: AI, ML, DL, DS
A list of competitions in AI, ML, DL and DS.

Événements

($) JupyterCon 2020
Monday 05 October 2020 @ 08:00
5-9 October: Tutorials
12-16 October: Conference
17 October: Sprints

AWS Immersion Day: Machine Learning
Tuesday 06 October 2020 @ 12:00
This half-day, private-invitation workshop is designed to provide attendees with a use-case oriented introduction to the AWS AI/ML services portfolio. Attendees will learn how the AWS AI services can quickly and easily be applied to a variety of common industry use cases, and how Amazon SageMaker can help ML practitioners with all aspects of the end-to-end Machine Learning workflow.

Virtual NLP Summit
Tuesday 06 October 2020 @ 12:00
Free & Online Event | October 6th – 16th.
Join the NLP Summit: two weeks of immersive, industry-focused content. Week one will include over 30 unique sessions, with a special track on NLP in Healthcare. Week two will feature beginner to advanced training workshops with certifications. Attendees can also participate in a datathon and join coffee chats with speakers, committers, and industry experts.

Jeune Chambre de Commerce de Montréal: Découverte IA
Tuesday 27 October 2020 @ 16:00
Charles Demontigny de Fluxion et Helene-Sarah Becotte de GRISDD présentent trois webinaires sur la réalisation de projets IA en entreprise.

Qlik Data Revolution Virtual Summit
Thursday 29 October 2020 @ 10:30
At the Data Revolution Virtual Summit, you’ll hear from industry leaders, data innovators and Qlik® executives as they explore the new data imperative from a number of angles. And you’ll learn about the latest trends, innovations and strategies for accelerating business value with data.