Sport Data Center

Capturing the Complex Relationship Between Internal and External Training Load: A Data-Driven Approach Very proud of our publication in @IJSPPjournal with @OtterRuby, @kempe_matthias, @SDC_datasci & @IngeStoter! A great team effort! doi.org/10.1123/ijspp.…

What can machine learning teach us on volleyball match performance? Importance of jump load and strength training characteristics. New in @Sensors_MDPI with @SDC_datasci @nevobo mdpi.com/1424-8220/22/2… #ML #MachineLearning #volleyball #sports

A sports analytics #DAMI online-first #NewPaper: "Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring" by Arie-Willem de Leeuw, @m_heijboer, Tim Verdonck, Arno Knobbe & @slatre (rdcu.be/c1Snm)

Published in Data Mining and Knowledge Discovery journal

Joint work with @AntwerpU and @JumboVismaRoad

Just out: modeling heart rate as a function of exertion, and how to use this for daily fitness assessment. rdcu.be/c1L9G

Op het eindsymposium van het Coach in Control project werden de resultaten gepresenteerd van 2 jaar hard werken in een multidisciplinair consortium. Lees meer over onder andere het ontwikkelde dashboard via de site! innovatielab.thialf.nl/nieuws?news_id…

Today I gave a presentation for the expert meeting about Data Science in Sports and Health organised by @AISS_nl, @AMSmovement & @SportDataValley. Giving some examples of how @SportDataValley can be of benefit to you as a coach or researcher. shorturl.at/ioI15

New publication in @ijspp with @RobLamberts some rare performance data in female cyclists and again proof of the importance of fatigue-resistance in prof cycling. Titled: Performance Characteristics of TOP5 Versus NOT-TOP5 Races in Female Prof Cycling. journals.humankinetics.com/view/journals/…

@FlorisgoesF Right. And I would add Classification vs. Regression. And what if your target looks numeric but is actually nominal? Or ordinal.

Clustering vs. Classification, and I don’t mean “what’s the difference”. Given a use-case where you want to differentiate between n groups, how would you approach it and what ML type would you use and why. Example: train a model to distinguish between tactical styles in #soccer

Preparing for a technical interview for a #DataScience position? These are some of the questions that typically allow me as an interviewer to quickly distinguish between juniors and mediors, including some quick tips 🧵. #Python #pythonprogramming #DataScientist #Jobs

@ewmagazinenl Leuk interview van @JoppeGloerich met mij over het nut van vermogensmetingen in de schaatssport. In @ewmagazinenl. @UniLeiden @VUamsterdam @VikingSkates @SDC_datasci #SportDataValley

De Olympische Spelen beginnen vrijdag! De Nederlandse schaatsers staan klaar. Wat als je van de een op de andere dag niet meer kan schaatsen? Zwabbervoet is de nachtmerrie van elke schaatser. Neurowetenschapper @beorn9house onderzoekt deze gevreesde blessure. Atlas, 20.25, @NPO2.

Eén groot experiment. nos.nl/l/2415376

Brief isolated bouts of vigorous exercise — termed exercise snacks — seem to be a practical and time-efficient approach to improve cardiometabolic health. ow.ly/Hixr50HJjkF

Hey Siri. Hoe laat begint elke dag het schaatsen? Siri:

Terwijl de winterspelen van @Beijing2022 op het punt van beginnen staan, doen @jeroen_eb en Arno Knobbe van @LIACS onderzoek naar betere schaatstechnieken met een schaats vol sensoren universiteitleiden.nl/nieuws/2022/01…

Could not agree more: There is a need for sport scientists with proper programming skills to support a changing field where data is getting more important (and plentiful).

Another gem from from Ernst Van Aaken

@EvertVerhagen Well, Queen of course

De nieuwe Meetschaats, winnaar van de Nationale Sportinnovator Prijs 2020, levert coaches en schaatsers feedback over de techniek van de schaatsbeweging. Het levert inzicht op over het samenspel tussen de voet, het ijs en de schaats.