Montreal Data

Articles, nouvelles et annonces

Wired: Companies Are Rushing to Use AI—but Few See a Payoff
A study finds that only 11 percent of firms that have deployed artificial intelligence are reaping a “sizable” return on their investments.

Google AI: Using AutoML for Time Series Forecasting
Today we introduce a scalable end-to-end AutoML solution for time series forecasting, which meets three key criteria: Fully automated, Generic and High-quality.

Microsoft: Announcing LAMBDA: Turn Excel formulas into custom functions
Today we are releasing to our Beta customers a new capability that will revolutionize how you build formulas in Excel. Excel formulas are the world’s most widely used programming language, yet one of the more basic principles in programming has been missing, and that is the ability to use the formula language to define your own re-usable functions.
Simply put, LAMBDA allows you to define your own custom functions using Excel’s formula language.

NeuralProphet
NeuralProphet is a Neural Network based PyTorch implementation of a user-friendly time series forecasting tool for practitioners. This is heavily inspired by Prophet, which is the popular forecasting tool developed by Facebook.

arXiv: Challenges in Deploying Machine Learning: a Survey of Case Studies
In recent years, machine learning has received increased interest both as an academic research field and as a solution for real-world business problems. However, the deployment of machine learning models in production systems can present a number of issues and concerns. This survey reviews published reports of deploying machine learning solutions in a variety of use cases, industries and applications and extracts practical considerations corresponding to stages of the machine learning deployment workflow.

Événements

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.

La science des données en agriculture
Thursday 10 December 2020 @ 10:00
Venez découvrir comment la science des données est appliquée à la production serricole durant un webinaire de la série de conférences présentées conjointement par IVADO, Lactanet et la Zone Agtech : La science des données en agriculture.

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