Montreal Data

Articles, nouvelles et annonces

Que les meilleurs hyperparamètres et variables gagnent : c’est la loi de la jungle des algorithmes génétiques
Article de Vincent Gatien, data scientist chez Videns Analytics : "Dans cette vignette, il sera question d‘algorithme évolutif (génétique) appliqué à la recherche de modèles, d’hyperparamètres et à la sélection de variables."

Top 20 Data Science YouTube Channels you should subscribe to in 2020
Here are the best YouTubers you should follow to learn about programming, Machine learning and AI, mathematics and Data Science.

Verta.ai announces the release of ModelDB 2.0
Verta.ai, provider of Verta Enterprise, an open-core end-to-end MLOps platform, today announced the launch of ModelDB 2.0, an industry-leading, open-source model versioning system to make machine learning (ML) development and deployment reliable, safe, and reproducible.

A debate between AI experts shows a battle over the technology’s future
The field is in disagreement about where it should go and why.

How to build your Ultimate Data Science Portfolios
A Great Data Scientist Builds Products that Matter

Dashboards in Python for Beginners using Dash
Live Updates and Streaming Data into a Dashboard

Événements

[ONLINE] Data analytics in marketing: Mesurer nos actions
Tuesday 31 March 2020 @ 18:00
Joignez vous à nous et à nos 4 experts pour échanger sur l'important rôle que l'analyse de données joue dans l'industrie du marketing.

[ONLINE] Model Versioning Done Right: A ModelDB V2 Walkthrough
Wednesday 01 April 2020 @ 13:00
In a field that is rapidly evolving but lacks infrastructure to operationalize and govern models, ModelDB 2.0 provides the ability to version the full modeling process including the underlying data and training configurations, ensuring that teams can always go back and re-create a model, whether to remedy a production incident or to answer a regulatory query.

Défis et enjeux de la science des données moderne
Thursday 02 April 2020 @ 08:30
IBM Analytics Series. Au cours de cet événement nous aborderons plusieurs défis inhérents à la pratique moderne des sciences des données: développement agile de modèles, avoir du succès à l'échelle, surveillance de modèles, détection des biais , etc.

[ONLINE] AI Model Governance in a High-Compliance Industry
Wednesday 08 April 2020 @ 14:00
Meetup Montreal R User Group: Model governance defines a collection of best practices for data science – versioning, reproducibility, experiment tracking, automated CI/CD, and others. Within a high-compliance setting where the data used for training or inference contains private health information (PHI) or similarly sensitive data, additional requirements are added.