Wat we doen

Data Science presentaties laten vaak indrukwekkend resultaten zien, die ook nog eens eenvoudig te ontwikkelen waren. Wat vaak niet verteld wordt, is dat er ook veel pogingen stranden. In deze meetup, door en voor data scientists, leren we van elkaars ervaringen. We leren van zowel de highs als de lows. We behandelen dus niet alleen het oppervlakkige eindresultaat, maar ook welke problemen ondervonden waren. Met welke uitdagingen krijg je te maken, en hoe ga je daar mee om. Om te ontdekken welke verschillende aanpakken er mogelijk zijn, hebben we de voorkeur om een hands-on sessie in de meetup te hebben. Daarmee krijg je de mogelijkheid om de gepresenteerde aanpak ook zelf te proberen, en tevens je eigen aanpak daarvan aan anderen te laten zien.

Geplande evenementen (1)

The right model for the job - Vacancy recommendations at Randstad

We have another great event coming up, this time hosted by Randstad Group the Netherlands. In fact, the project we will share with you is one we are particularly proud of, as it is both meaningful on a personal level and successful from a business perspective. Randstad Group Netherlands IT will present its learnings and the results of its endeavours to use recommender engines to suggest the right job to the right person and the right person to the right job. Like last event we chose for a full-cycle project, as this paints the full picture of what it takes to bring a project to production. -- Agenda: 17.30 - Doors open 18.00 - Drinks & food 18.30 - Welcome to Randstad Group Netherlands IT (RGN) 18.45 - The project: smart matching of vacancies and talents 19.00 - The science: a vacancy recommender ** 15 min break ** 20.00 - The engineering: bringing it to production 20.40 - Wrap-up and time for social drinks, doors close at 21.30 -- The project: smart matching of vacancies and talents Hugo Valk, Tech Lead at RGN, will outline the project: the idea, detailed use case, team, phases and the final data science product. In addition, he will share some of the key results and learnings of the project. -- The science: a vacancy recommender Robbert van der Gugten, Data Scientist and Engineer at BigData Republic, will talk data science: framing the modeling problem, performance metrics, validation strategy, machine-learning algorithms and challenges from a data science perspective. -- The engineering: serving forecasts in production Hugo will take the floor again and maps the road to production of this project: solution architecture, data platform, microservices, model serving, monitoring and challenges from a data engineering perspective. He will conclude by presenting the improvements for the near future, how Randstad expects to employ many more algorithms in a cost-effective way. p.s. The event will be recorded and posted online afterwards

Vorige evenementen (4)

Passenger forecasting at KLM - from idea to meals on board

WTC Schiphol Business & Conference Center