La science des données (data science) peut être très utile pour innover dans de nombreux domaines, y compris pour les PME. Ce mastercourse d'EluciDATA vous propose des sessions sur l'innovation 'data driven'. Des sessions pragmatiques et orientées sur l'industrie (en anglais).


While today attention mainly goes to examples by major internet companies (e.g. Google, Amazon, Facebook), data science can also be very valuable to innovate within other industrial domains as well as within SMEs. It enables one to derive new insights from experimental data, to profile products and customers, to optimize production processes, to predict failure of machines.

In this context, the EluciDATA mastercourse will provide pragmatic and industry-oriented sessions on data-driven innovation. This mastercourse will be composed of several sessions in order to accommodate for the different needs and viewpoints of people with different backgrounds.

Session: The art of feature engineering

This session will focus on:

  • What are features and why is feature engineering the most creative and time-consuming data science activity?

  • What are typical feature engineering approaches for different types of data, such as time-series data, event log data, geographical data, etc?

  • How do you decide which features are most relevant to solve your problem?

Description of the session:

Any intelligent algorithm that is used to learn something from data requires that this data is presented in the most optimal way.  The process of transforming the data and extracting the most relevant distinguishing characteristics out of it is called feature engineering. It is arguably the most important step in the data science workflow as even the most intelligent algorithm will not produce satisfactory results if the used data does not capture the most essential properties of the phenomenon under study. There is no clearly-defined formal process for engineering features and consequently this requires a lot of creativity, iterations, domain knowledge, etc.

The goal of this session is to give an overview of the most commonly used approaches, as well as lessons learnt and common pitfalls for different types of data (sensor data, location data, etc.) and problem settings (prediction, profiling, etc.). 

Target audience

The master course is open to any company that is interested in data innovation as an opportunity for its company and activities. For this mastercourse some basic analytic skills (e.g. high level understanding of algebra and interpretation of statistical figures) is a prerequisite.

Pricing

  • € 525/session
  • Early bird rate (registration more than 3 weeks in advance): € 475/session

The course notes are included in the registration price. 

If you are a Flemish SME you can also make use of the KMO-portefeuille (the KMO-portefeuille should be requested at latest 14 days after the course has taken place).  (Erkenningsnr. Sirris : DV.O105154).

For more information, please visit http://www.kmo-portefeuille.be/ or contact us (caroline.mair@sirris.be). 

EluciDATA core user group members benefit from a discount on the subscription fee (50% for demonstrator ambassadors/committed technology experts, 25% for engaged advisors, and 10% for the satellite interest group). 

Date

jeudi 22 février 2018, 13:00 - 17:00

Lieu

BluePoint Brussels
Bd A. Reyers 80
1030 Bruxelles

Plan d'accès

Organisateur

EluciDATA 

Cet événement est terminé.