AI-Awards : Calling all nominated companies/projects/personalities to accept their nomination.

Over the past few months we invited the #AI4Belgium and Datascience community to nominate their favourite project, their most promising startup and their personality of the year.

We had over 100  suggestions and have grouped them on our website:

Amethix Technologies  – AMIA Systems  – Boobook  – BrainJar  – Chatlayer  – Citizenlab  – Complidata  – Crunch Analytics  – Cumul.io  – Dalberg Data Insights  – Daltix  – Data.be  – Dataminded – Dataroots  – DataSense  – DataShift  – DataStories  – Datylon  – Depthen  – Digazu  – Epcon.AI  – Faktion  Find Me  – Fourcast  – Geckomatics  – Hozint  – Icometrix  – Image Forgery Detector – In The Pocket – Infofarm  – JetPack  – Juyo Analytics  – Kantify – Keyrock  – Klarrio  – Lantana  – Lawbox  – Lex.be  – LynxCare  – Macty  – MeetMatch  – MultiMinds  – Noisy Channels  – One Datapartner  – Omina Technologies  – – Overture  – Parcify  – Pick It  – Pixelvision  – Predicube  – Qualifio – Radix.ai  – ReImagine  – RetViews  – RoboVision  – Scriptbook  – Sket  – Shape  – Tengu  – Trade Pharma Network  – Trigghr  – WeGroup  -Xplodata  – Yazzoom  – Yields  – Zora Robotics

If you are nominated for the AI awards you need to accept your nomination !

Here is how:

Step one : record your story
To accept your nomination, just fill in the short form  with the basic details about your project and reserve your recording slot with Nico our video man to record your story.  There will also be a short interview with our editor and a written version of your story will be published on disummit.org.

Step two: present your story during the semi finals
On May 16th you are invited to do a 5 minutes presentation – this public presentation will recorded so that the voting can start.

Step three: join us at the speaker’s dinner
It is at this speaker’s dinner that we will announce who are the 7 startups and 7 projects that will be presented at the diSummit.

I’m looking forward to seeing you soon in our recording studio. The faster you reserve a slot the more votes you will get.

Philippe Van Impe

New Years Drink @VUB – Januari 21 18:30

meetup marketing

 

Dear Friends,

You are kindly invited to our New Year’s drink in the Opinio @VUB after our first meetup of the year focusing on Climate change and what the data science community could do.

Join us next Thursday 21/1 at the VUB for a #Data4Good meetup organised by the Brussels Data Science Community about Climate and #datascience with Kris Peeters, Philippe Van Impe, Jeff R Noel, Matthew Porcelli, Christophe Vercarre, Maarten Lambrechts.

Register Here

Please Please engage with us often

Agenda:

18:30 Update on the activities of the HUB and the latest news on our community

19:00 The weather Company shows their dataset and how it can be used.

• Part 1: Why Businesses Can Create Better Outcomes as the Climate Changes

 Description: Climate change is causing more extreme weather.  Businesses and governments must prepare for extreme weather.  There is no reason weather is an excuse for poor outcomes (business and public), better decisions can be made.

 Speaker and biography:  Jeff Noel, The Weather Company, Business Development Director – IBM Strategic Partnership
— Topics covered by the first topic:    == Big Data and IoT:  Why weather is a Big Deal to IBM and you    == Leveraging data to make decisions that make a difference: Examples    == Preparing for the Future

• Part 2: Weather Data, a true IOT Story

 Description: The Weather Company collects data from many sources and uses this data to improve understanding of current conditions and forecasts globally.  The data is extensive and easily leveraged to deliver new solutions.

 Speaker and biography:  Matthew Porcelli, The Weather Company, Senior Sales Engineer – IBM Partnership     —

— Topics covered by the second topic:    == Explore why weather data is a key part of IOT:  Types and structure    == Enterprise Global data from APIs:  API structure and using the data    == There is so much more!

19:45 Christophe Vercarre is active in different sustainability projects from Futureproofed.

Futureproofed is the leading sustainability consultancy in Belgium since 14 years, addressing climate change with business models, objectively measuring and mapping organisations’ impact, developing best possible business solutions to minimise environmental impact and market testing them with customers for maximum revenue impact. Serge de Gheldere and his international team of engineers and economists develop tools and strategies for decision-makers in a climate-challenged and competitive world.

20:05 The stories of  Maarten Lambrechts can be found in De TIJD, he is a Data  visualizer and storyteller and has prepared a story on “How Belgium is heating up, the making of”

20:30 Kris Peeters is the founder of Dataminded, a company specialized in Datascience and BigData technology. His talk will focus on “how can we help climate scientists with modern data technology?” – Kris build a ‘open source’ demo using 4 years NASA satellite pictures of the world showing how CO2 is spread over the countries.

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21:00 New Years Drink at the Opinio

 

 

 

Free Training – Python for Data Science – Brussels

In the past few years, Python has emerged as a solid platform for data science.   Couple a mature, clean and expressive language with powerful, fully-featured libraries for data wrangling and machine learning, and you’re set up for maximum productivity.  Easily ingest your data from practically anywhere using one of Python’s thousands of free libraries.  Effortlessly turn hundreds of convoluted lines of obscure model code into just a few lines of near-English prose.  Add a few annotations and get maximum performance without drowning in pools of unnecessary boilerplate code.  Present your results in beautiful living notebooks that seamlessly mix text, code and graphs.  Whether you do all your modeling in R, you’ve written nothing but Matlab since university, or you swear by C# or (gasp!) Java, discovering Python will be a wonderful experience.

In detail, we plan to cover the following points:

  • Quick history of Python and typical use cases
  • Key advantages and disadvantages of Python for data science
  • Ways to run python and write code
  • Quick tour of language
  • Showcase of useful language packages for data science: NumPy, Matplotlib, SciPy, Pandas, Scikit-learn, PySpark, PyHive.  Accessing RDBMSs
  • Writing efficient Python: Cython, Numba, SWIG
  • Pointers for further learning

Registration: http://www.meetup.com/Open-Data-Innovation-Training-Hub/events/225090704/

FullSizeRender (1)The course will be taught by Patrick Varilly of Data Minded.  Patrick fell in love with Python four years ago as a theoretical chemistry post-doc at Cambridge and has never looked back.  He has contributed to SciPy and used Python in wide-ranging settings, from scientific libraries to model proof-of-concepts to data backend pipelines.

Pizza will be provided courtesy of Data Minded.

Patrick is a co-worker at the European Data Innovation Hub. He has coached the Apache Spark MOOCs this summer and will be teaching a full series of Python course this fall.

More #datascience trainings in Brussels:

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
1,336 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
5 Attending

Check out this Meetup Group →

Coached Mooc – Introduction to Big Data with Apache Spark

mooc coaching  spark-logo

What

  • Learn how to apply data science techniques using parallel programming in Apache Spark to explore big (and small) data.
  • Study online but work in group
  • Get help from a local expert

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 course here
  2. Join the meetup group here

About this course

Organizations use their data for decision support and to build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term Data Science. This course will attempt to articulate the expected output of Data Scientists and then teach students how to use PySpark (part of Apache Spark) to deliver against these expectations. The course assignments include Log Mining, Textual Entity Recognition, Collaborative Filtering exercises that teach students how to manipulate data sets using parallel processing with PySpark.

This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (part of Apache Spark), but previous experience with Spark or distributed computing is NOT required. Students should take this Python mini-quiz before the course and take this Python mini-course if they need to learn Python or refresh their Python knowledge.

What you’ll learn

  • Learn how to use Apache Spark to perform data analysis
  • How to use parallel programming to explore data sets
  • Apply Log Mining, Textual Entity Recognition and Collaborative Filtering to real world data questions
  • Prepare for the Spark Certified Developer exam

Meet the online instructor:

bio for Anthony D. Joseph

Anthony D. Joseph

Meet the coach:

Kris Peeters

Kris Peeters from Dataminded

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
1,239 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

Launch MOOC Coaching activities, First course is the Machine…

Thursday, May 28, 2015, 7:00 PM
15 Attending

Check out this Meetup Group →