Sundar Singaravel- Ignite Speaker at DIS 2017

Sundar Singaravel obtained a Master in Sustainable Energy Technology from the Eindhoven University of Technology, dis17_speaker_sundar-swhere he specialised in the area of Building Performance Simulation (BPS). He continued working in the building sector for about four years, developing design strategies for energy performance, natural ventilation, indoor comfort and fire safety. Strategies developed were for both building systems/installations and building design located in Netherlands, Ireland, Dubai, Qatar and India. He is currently working as a PhD researcher in the Department of Architectural Engineering, researching on a Machine Learning Method suitable for design stage application to predict building energy.

Follow him on Twitter here and join his Ignite speech “Application of machine learning models for sustainable building design” at DIS 2017.

Tonight – IBM – LIVESTREAM – Machine Learning Launch

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Calling all IT executives, data scientists, Chief Data Officers, data architects and other data geeks
Be the first to learn about our breakthrough developments on machine learning, Spark, data and analytics

 

The demand for machine learning is booming!

Calling all IT executives, data scientists, Chief Data Officers, data architects and other data geeks.  Join us on February 15th from 2:00-5:30 pm ET via livestream  (replay available starting February 16th) , and discover how machine learning is fundamentally changing the way we work and live.  Hear about cognitive applications that anticipate behavior and learn from data without being explicitly programmed.

You’ll learn about the latest breakthrough developments on machine learning as well as Spark, data and analytics. Mike Gualtieri, Vice President and Principal Analyst, Forrester, will present his view on how to best leverage technologies such as big data, predictive analytics, Hadoop/Spark, machine learning, data science, and AI.  Rob Thomas, General Manager, IBM Analytics will host an agenda which will include guest speakers and cover the following topics:

•  Machine Learning Overview
•  Top Trends in Machine Learning & Cognitive Applications
•  Cognitive Analytics and Machine Learning for the Enterprise
•  Live Product Demonstration & Client Roundtable on Machine Learning
•  Data Innovation with Hybrid Transaction/Analytical Processing
•  Spark & Machine Learning for Enterprise Systems

For additional details and to REGISTER, please visit MACHINE LEARNING.

Register NOW and we’ll send you a reminder!

Let’s “Team Up” to develop and use AI

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Dear friends of the community, Let’s “Team Up” to develop and use AI, join the matchmaking event on January 17th.

Please register on the the website from InnovIris:  http://3cf7a07cb448.fikket.com/event/team-up-matchmaking-event

The first edition of the brand new Innoviris program Team Up will be dedicated to Artificial Intelligence (AI). 

This year Innoviris has decided to free up more than 4M€ for Artificial Intelligence. The objective? Develop the excellence of research, encourage technology transfer, push the use of artificial intelligence in enterprises and ultimately develop new or improved products, processes and services.

By participating in this event you will (re)discover the wealth of opportunities offered by Artificial Intelligence, get inspiration, let ideas emerge, meet the actors of AI in Brussels and thus identify partners to set up projects. You’ll also receive all useful information on the currently open call for proposals (deadline: 31/03/2017).

Collaboration is the key to success of this project call, so do not miss this opportunity to meet your future project partners !

Programme of the afternoon

 

  • 3.30 – 4.00 pm – Welcome
  • 4.00 – 5.00 pm – Inspiration

Cognitive computing from Jeopardy win to fighting cancer: 
Philippe Dubernard – IBM Watson, Cognitive Solutions Team

AI in Brussels: the academic perspective
Tom Lenaerts – ULB- Machine Learning Group, Belgian AI Researchers portal

Turning artificial intelligence into business value, perspective from an SME
Christophe Chatillon – CEO TAPPTIC

  • 5.00 – 5.15 pm – InformationPresentation of the Call for projects by Innoviris
  • 5.15 – 6.30 pmTeam Up!
    Matchmaking session
  • 6.30 – 7.30 pm – Walking dinner & networking

You already want more information ? 

You are an entrepreneur or a researcher and you want to be part of the AI transformation? Click on those links, get all the useful information on the call for projects and submit your expression of interest and project idea.

Your Innoviris contact person: Jonathan Duplicy
jduplicy@innoviris.brussels | 02.600.50.52
Chaussée de Charleroi 110  1060 Bruxelles
Tél (FR) : 32 2 600 50 36  – Tel (NL) : 32 2 600 50 37
Fax : 32 2 600 50 47  – E-mail : info@innoviris.brussels


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Thank you for supporting the European Data Innovation Hub
Vorstlaan 23, bus 411 – 1170 Brussels
 www.di-academy.com | www.disummit.com

Join us on March 30th for the diSummit in Brussels.

Tickets are currently available for sale on Eventbrite

Reply to the call for speakers before January 15th.

 

Join our different communication channels & groups to be the first informed:

Linkedin | Facebook | Twitter | Youtube

Job – Junior Data Scientist

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Are you pursuing a career in data science?

We have a great opportunity for you: an intensive training program combined with interesting job opportunities!

Interested? Check out http://di-academy.com/bootcamp/ follow the link to our datascience survey and send your cv to training@di-academy.com

Once selected, you’ll be invited for the intake event that will take place in Brussels this summer.

Hope to see you there,

Nele & Philippe

Job – MDCPartners – Senior Data Engineer

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Job Requirements

About MDCPartners

MDCPartners is a technology company based in Antwerp, Belgium that produces large volumes of healthcare data on a weekly basis. This requires skilled techies with an eye for data, and the ability to apply this knowledge in the field of healthcare. Our clients are top pharma companies that rely on our tools to make crucial decisions during drug development.

Responsibilities

As Senior Data Engineer you work in the data lifting team to streamline and innovate data processing components and workflow. You deal with algorithmic, performance and operational tasks related to the main data flow in MDCPartners.

Your main target is to oversee parts of the data generation, improve quality of the data, the processing performance and downstream application possibilities by means of your architectural and algorithmic input.

Keywords: data analysis, algorithms, NLP, machine learning, Lucene, ontologies, medical data, performance, parallel programming

Requirements

  • Have a Master’s degree or PhD in Computer Science
  • Have at least 4 years of proven experience in the field
  • Have fantastic Java skills
  • Know your way around (No)SQL databases
  • Be fluent in English
  • Have a no-nonsense problem solving mindset
  • Be eager to take technical and organizational responsibility
  • Learn quickly, and want to be challenged
  • Have the ability to support and mentor other data engineers

What we offer

  • A hi-tech, creative working environment in a dynamic, growing company
  • Career path to grow to a crucial role
  • Competitive salary & benefits
  • Company car or similar remuneration options possible
  • Health insurance package

How to apply

For further information or to apply for this vacancy, please contact us and include your CV.

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

For further information or to apply for this vacancy, please contact MDC and include your CV.

Training – Machine learning with R – September 28 & 29 – Brussels

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Next week Monday and Tuesday:

Join us for a 2 days Machine learning course using R. Special discounts apply, contact @pvanimpe for more details.

Please register and pay through Eventbrite

A must have skill for all datascientist

This course is a hands-on course covering the use of statistical machine learning methods available in R.

The following basic learning methods will be covered and used on common datasets.

  • classification trees (rpart)
  • feed-forward neural networks and multinomial regression
  • random forests
  • boosting for classification and regression
  • bagging for classification and regression
  • penalized regression modelling (lasso/ridge regularized generalized linear models)
  • model based recursive partitioning (trees with statistical models at the nodes)
  • training and evaluation will be done through the use of the caret and ROCR packages

Course duration: 2 days.

Business-Analytics-with-R

Instructor: Jan Wijfels, BNOSAC

jan wijffels Jan Wijffels is the founder ofwww.bnosac.be – a consultancy company specialised in statistical analysis and data mining. He holds a Master in Commercial Engineering, a MSc in Statistics and a Master in Artificial Intelligence and has been using R for 8 years, developing and deploying R-based solutions for clients in the private sector. He has developed and co-developed the R packages ETLUtils and ffbase.

Coached MOOC – Edx – Data Science and Machine Learning Essentials – Brussels

Intro to machine learning

About this course

Demand for Data science talent is exploding. Learn these essentials with experts from M.I.T and the industry, partnering with Microsoft to help develop your career as a data scientist. By the end of this course, you will know how to build and derive insights from data science and machine learning models. You will learn key concepts in data acquisition, preparation, exploration and visualization along with examples on how to build a cloud data science solution using Azure Machine Learning, R & Python.

Data Science is an essential skill for analyzing and deriving useful insights from data, big and small. McKinsey estimates that by 2018, a 500,000 strong workforce of data scientists will be needed in US alone. The resulting talent gap must be filled by a new generation of data scientists.
This course is organized into 5 weekly modules each concluding with a quiz. By achieving a passing grade in the final course assessment you will receive a certificate demonstrating that you have acquired data science skills and knowledge. Apart from answering your questions on the forum, faculty will host an office hour to address questions you may have while undertaking this course.

Get an ID verified certificate to demonstrate your data science knowledge and share on Linked-in.

What you’ll learn

  • The data science process
  • Overview of data science theory
  • Data acquisition, ingestion, sampling, quantization, cleaning and transformation
  • Building data science workflows with Azure ML
  • Data science tools including R, Python and SQL
  • Data exploration and visualization
  • Building and evaluating machine learning models
  • Publishing machine learning models with the Azure ML

View Course Syllabus

Why we coach MOOCs

The European Data Innovation Hub is partnering with top experts to offer MOOC participants the possibility to do these online courses in group. During the duration of the Mooc participants will be welcome to come to the Hub in Brussels to work and to go through exercises with other participants. On specific days one or more domain expert will be present to coach the students.

Planning

  1. Sign up to this edx course here
  2. Join the meetup group here to reserve your seat.

Meet the online instructor:

bio for Dr. Steve Elston

Dr. Steve Elston

bio for Cynthia Rudin

Cynthia Rudin

Meet the coach:

datasiencebe.com mooc coaching  FullSizeRender (1)

Ward Vanden Berghe, Hendrik D’Oosterlinck

Certificate

Pursue a Verified Certificate to highlight the knowledge and skills you gain ($50)

View a PDF of a sample edX certificate
  • Official and Verified

    Receive a credential signed by the instructor, with the institution logo to verify your achievement and increase your job prospects

  • Easily Shareable

    Add the certificate to your CV, resume or post it directly on LinkedIn

  • Proven Motivator

    Get the credential as an incentive for your successful course completion

Job opportunities ?

hidden-jobs1

Click here for Data related job offers.
Join our community on linkedin and attend our meetups.
Follow our twitter account: @datajobsbe

Have you been to our Meetups yet ?

Each month we organize a Meetup in Brussels focused on a specific DataScience topic.

Brussels Data Science Meetup

Brussels, BE
1,382 Business & Data Science pro’s

The Brussels Data Science Community:Mission:  Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand cha…

Next Meetup

How Data Science is Transforming Sales and Marketing

Thursday, Sep 24, 2015, 6:30 PM
180 Attending

Check out this Meetup Group →

Job – Sentiance – Marketing Data Scientist – Antwerp

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Hi Philippe,

Given the topic of the meetup next Thursday, I think the following job opportunity might be relevant to post on your blog 🙂
At Sentiance we’re looking for a data scientist with experience in market segmentation:
http://www.sentiance.com/team/marketing-data-scientist/
However, we always welcome applications of junior candidates too!
http://www.sentiance.com/team/junior-data-scientist/

Thanks, and hope to see you thursday!
Vincent Spruyt
twitter id: @sentiance

As an experienced data analyst, you are ready to kick-off a new adventure in a fast-paced environment where you can work with the latest machine learning technologies and data science tools.

Job description

  1. You will be part of our Data Science Team and you are passionate about machine learning and data analysis.
  2. Using advanced data analytics, you will form hypotheses and draw meaningful insights about user behavior and user segmentation. As a marketing data scientist, you will explore relations between users and their preferences, discover interesting segments, perform advanced clustering and dimensionality reduction techniques.
  3. You will carry out research that will improve our general understanding of our users, and communicate your findings to other team members in order to initiate new platform development cycles.
  4. You will apply your statistical and mathematical background to real-life big-data problems, and use your machine learning knowledge on a day to day basis.
  5. You will work closely & interact with our Data Engineering Team as your work is used to improve our models and is pushed through our release process.
  6. Your main objectives will be the design and implementation of data mining and analysis algorithms and the communication of reports and quality metrics for current production processes.

Desired Skills & Experience:

  1. You have a masters degree or PhD in computer science or related field.
  2. You are an expert in advanced analytics and are experienced in hypothesis testing.
  3. You possess a deep understanding of clustering, manifold learning and predictive modeling techniques.
  4. You have good knowledge of and experience with any of Python, Matlab or R.
  5. You have a strong mathematical background and analytical mindset.
  6. You are fluent in English. Dutch is a plus.
  7. You can work independently and take matters into your own hands.
  8. The ability to quickly learn new technologies and successfully implement them is essential.

Bonus

Experience with any of the following is considered a plus:

  • Advanced Python knowledge and experience
  • Scikit-learn, Pandas, Numpy, Matplotlib
  • Experience with Spark or the Hadoop eco-system
  • Machine learning, data mining, data visualization

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

Send your job application today! 

Please send Sentiance your resume and a strong motivation with reference sentiance/2015/MDS or apply on LinkedIn.

Job – ULB – Postdoc in Machine Learning – 2 years

ULB

ULB MLG Brussels: Postdoc in machine learning, data science and big data for security (e.g. fraud detection)

2 year postdoc position

Description

Research in big data and scalable machine learning with application to security problems (e.g. fraud detection) in the context of a project funded by Brussels Region.

http://mlg.ulb.ac.be/BruFence

Required skills:

  • you have a PhD in Machine Learning, Computational Science, (Bio)Engineering, Data Science, or equivalent.
  • Expertise in statistical machine learning, data mining, big data, map reduce, Spark, python, R programming.
  • Plus: expertise in application of big data mining to real problems, security applications, notably credit card fraud detection
  • You are fluent in English.
  • The successful applicant will be hosted by the Machine Learning Group, co-headed by Prof. Gianluca Bontempi.

    Starting date: asap
    For more information please contact Pr. Gianluca Bontempi, mail: gbonte@ulb.ac.be.
    Please send your CV, motivation letter and contact information for three references, publication list with indication of the citation number of each published paper.

Nr of positions available : 1

Research Fields

Computer science – Modelling tools

Career Stage

Experienced researcher or 4-10 yrs (Post-Doc)

Research Profiles

First Stage Researcher (R1)

Comment/web site for additional job details

mlg.ulb.ac.be

Training – Spark4Devs – by Andy Petrella + Xavier Tordoir from Data Fellas

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main page

Woot Woot – The Hub is hosting the Spark4Devs training from Data Fellas

Why you should come to Spark4 Devs

Why now

Nowadays, for developers, one of the rare areas where there is still a lot of things to discover and to do is Big Data, or more precisely, Distributed Engineering.

This is an area where a lot of developers have been around for a while, but this area is also slightly moving towards Distributed Computing on Distributed Datasets.

Not only Machine Learning is important in this area, but certainly, core development capabilities are required to make the production processes Scalable, Highly Available whilst keeping Reliability and Accuracy of the results.

Clearly Scala has its role to play there, Typesafe is spreading the word and were precursors on that, but Data Fellas and BoldRadius Solutions are on the same page. Scala is to be the natural successor of Python, R or even Julia in Data Science, with the introduction of the Distributed facet.

That’s why you, devs but of course data scientists, you want to come to this training on Apache Spark focusing on the Scala language.

Why Spark 4 Devs

Because, the Apache Spark project is THE project you need for all you data project, actually, even if the data is not distributed!

The training is three-days, hence the first day will tackle the core concepts, batch processing. We will start by introducing why Spark is the way to go then we’ll explain how to hit this road by hacking some datasets using it.

The second day will, in the same pragmatic and concrete manner, introduce the Spark Streaming library. Of course, we’ll see how to crack some tweets but also show how a real broker can be consumed, that is, Apache Kafka.

Not only will you be on track to use Apache Spark in you project, but since the Spark Notebook will be used as the main driver for our analyses, you’ll be on track to use interactively and proficiently Apache Spark with a shortened development lifecycle.

Title

Spark 4 Devs

subtitle Discover and learn how to manage Distributed Computing on Distributed Datasets in a Bigdata environment driven by Apache Spark.
 Date  23,24,25 September

Target audience

Mainly developers that want to learn about distributed computing and data processing

Duration

3 days

Location

European Data Innovation Hub @ AXA, Vorstlaan 23, 1170 Brussel

Price

500€ /per day /per trainee

audience

minimum 8 – max 15 people

Registration

via http://spark4devs.data-fellas.guru/

Motivation

http://blog.bythebay.io/post/125621089861/why-you-should-come-to-spark4-devs

Overview

via http://spark4devs.data-fellas.guru/

Learning Objectives

via http://spark4devs.data-fellas.guru/

Topics

Distributed Computing, Spark, Spark Streaming, Kafka, Hands on, Scala

Prerequisites

developing skills in common languages

About the trainer:

Andy

Andy is a mathematician turned into a distributed computing entrepreneur.
Besides being a Scala/Spark trainer. Andy also participated in many projects built using spark, cassandra, and other distributed technologies, in various fields including Geospatial, IoT, Automotive and Smart cities projects.
He is the creator of the Spark Notebook (https://github.com/andypetrella/spark-notebook), the only reactive and fully Scala notebook for Apache Spark.
In 2015, Xavier Tordoir and Andy founded Data Fellas (http://data-fellas.guru) working on:
* the Distributed Data Science toolkit, Shar3
* the Distributed Genomics product, Med@Scale

After completing a Ph.D in experimental atomic physics, Xavier focused on the data processing part of the job, with projects in finance, genomics and software development for academic research. During that time, he worked on timeseries, on prediction of biological molecular structures and interactions, and applied Machine Learning methodologies. He developed solutions to manage and process data distributed across data centers. Since leaving academia a couple of years ago, he provides services and develops products related to data exploitation in distributed computing environments, embracing functional programming, Scala and BigData technologies.

#datascience training programmes

Why don’t you join one of our  #datascience trainings in order to sharpen your skills.

Special rates apply if you are a job seeker.

Here are some training highlights for the coming months:

Check out the full agenda here.

Have you been to our Meetups yet ?

Each month we organize a Meetup in Brussels focused on a specific DataScience topic.

Brussels Data Science Meetup

Brussels, BE
1,328 Business & Data Science pro’s

The Brussels Data Science Community:Mission:  Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand cha…

Next Meetup

Event – SAPForum – Sept9 @Tour & Taxis, Brussels

Wednesday, Sep 9, 2015, 12:00 AM
2 Attending

Check out this Meetup Group →