Montreal Data

Articles, nouvelles et annonces

Springer has released 65 Machine Learning and Data books for free
Springer has released hundreds of free books on a wide range of topics to the general public. The list, which includes 408 books in total, covers a wide range of scientific and technological topics. In order to save you some time, I have created one list of all the books (65 in number) that are relevant to the data and Machine Learning field.

RIP correlation. Introducing the Predictive Power Score
We define and open-source the Predictive Power Score (PPS). The PPS is an alternative to the correlation that finds more patterns in your data.

Introducing TorchServe: a PyTorch model serving framework
Starting today, PyTorch customers can use TorchServe, a new model serving framework for PyTorch, to deploy trained models at scale without having to write custom code.

[Podcast] From basic script to interactive data sci app with Streamlit
TalkPython.fm Episode #260: If you work on the data science or data visualization side of Python, you may have come to it from a scripting side of things. Writing just a little Python, using its magical libraries, with little structure or formalism to build a powerful analysis tool that runs in the terminal or maybe a jupyter notebook. What if you could take that same code, sprinkle in just a bit of a simple API, and turn it into a fast and dynamic single page application allowing your users to dive into the visualizations on the web?

[Video] Scaling Machine Learning | Razvan Peteanu
Some of the libraries very commonly taught and used in data science have not been designed for large scale machine learning so scaling up computation can be a challenge, particularly that many courses tend to focus on the algorithms and do not cover ML engineering. Razvan Peteanu's current role is Lead Architect - Machine Learning at TD Securities.

Événements

[ONLINE] DataCamp Virtual Webinar Week
Monday 27 April 2020 @ 09:00
Join DataCamp and thought leaders from Cape Privacy, LumiraDX, and AXA XL for a week-long virtual conference on all things data science. Learn how to roll out a data strategy that includes online training, how to measure the success of your data science initiatives, and hear from experts about how AI and machine learning are impacting industries like finance and healthcare.

[ONLINE] Analytics in Production with Apache Flink SQL
Tuesday 28 April 2020 @ 12:45
Successful data-driven organizations go beyond just discovering valuable insights once, but do so continuously and in real-time. As stream processing frameworks like Apache Flink become the norm for real-time analytics and event-driven applications, SQL is making a comeback as a way to lower the entry barrier to streaming. But how do you take the leap from analytics-based historical data to real-time insights on streams?

[ONLINE] 5 Missteps of Machine Learning Every Operations Manager Can Avoid
Tuesday 28 April 2020 @ 13:00
To build and deploy enterprise-ready models that generate real value, businesses need to standardize a new technology stack and a new ML–focused lifecycle.

[ONLINE] Power BI et les services cognitifs d'Azure (AI)
Wednesday 29 April 2020 @ 09:00
Dans cette session nous reverrons comment s’intègre Power BI avec les services cognitifs de Microsoft (analyse d’anomalies, analyse de sentiments et plus encore). Nous présenterons d’abord un cas simple où Power BI consomme les données d’un service cognitif en temps réel et nous enchaînerons avec l’intégration des services cognitifs dans Power BI via une requête Power Query (langage M).

[ONLINE HACKATHON] Montreal Python - Glacier Tonique
Friday 01 May 2020 @ 17:00
Ce rendez-vous de 48h aura lieu du 1er mai au 3 mai 2020 - à vos calendriers ! Notre objectif: favoriser la création et le développement de prototypes permettant d'apporter des solutions concrètes aux différents aspects de la crise sanitaire.

[ONLINE] DataOps.NEXT Hitachi Vantara Virtual Conference
Thursday 14 May 2020 @ 09:00
Solve your complex data management issues with fresh and practical insights from this no cost one-day virtual conference. Join us for the latest insights on how to unleash DataOps across your entire data lifecycle - onboarding and preparation, governance and agility, data fabric optimization, and analytics and machine learning.