Take a bow, Nacho. The incredible strike has Spain back up 3-2 #PORESP

Vamos família!👍🏽🇵🇹

The US-China trade war is about to get real cnn.it/2KBDrSo

This is what the US-China trade war means for you and your pocket. 🇺🇸 🇨🇳 bbc.in/2MNulyA

Happy “py” day everyone!

The #Maastricht team led by @KaterinaDKand met to discuss the final points for their #amazing events in #May Ticket details for the #global #pintofscience #festival will be released soon so keep on the look out! 😱 #scicomm #pint19 #pintNL

We have a great team of tutors #applynow #dontwaitlastminute semanticwebschool.org #semweb #DARIAHeu #artificialintelligence #blockchain #crowdsourcing #gofair #knowledgegraphs #training

OMG... so sad😔😔

Super glad I did it! Contact me if you are interested in privacy preserving distribute machine learning. Thanks to PyData Amsterdam , my favorite amazing conference!!

Some announcements: 1)Conf. booklet is online: (ecmlpkdd2019.org/downloads/book…) 2)Tomorrow's keynote venue isn't ideal for slide projection, download them: ecmlpkdd2019.org/downloads/slid… 3)Public transport: bus #(14, 114, 214, 29, 10); trip can take 30min; plan ahead by vvm's website or app!

European Conference on Machine Learning - Opening ceremony After my presentation, I can enjoy the rest of the conference now ;) #ecmlpkdd2019 #PhDForum #phdlife

#dsdecisions: during her afternoon presentation, Chang Sun, Ph.D. candidate Maastricht University Institute for Data Science, argues that #data #science can indeed be used for better decisions, but doing so in a reliably #privacy-#preserving way is a big #challenge #GDPR

Wish to thank melt whisky, grain whisky, single malt whisky, blended whisky x.com/phdcomics/stat…

Congtatulations to all the winners !!! #rethinkjust #hackathon #UMDataScience #DataScience #law x.com/bl_ssc/status/…

What do we have here? pydata.org/amsterdam2018/

10 Challenges to Practicing #DataScience at Work bit.ly/2GDhQnw #machinelearning 1. Dirty data (36%) 2. Lack of DS talent (30%) 3. Company politics (27%) 4. Lack of clear question (22%) 5. Data inaccessible (22%) 6. Results not used by decision makers (18%) #Think2018

别来无恙

The Risk of Machine-Learning Bias (and How to Prevent It) – MIT Sloan Management Review sloanreview.mit.edu/article/the-ri…

Wonderful conference! #AI and medicine, and digital technology and medicine in general, is a truly worthy topic for much more future work and discussions! x.com/stanfordmed25/…

Ended the productive strategy day by putting ourselves on the map: we are from all over the world: Netherlands, Canada, India, China, Belgium, Mexico, Nigeria, South African & Bosnia !!