RT Alessandro Rainoldi
A new @EU_ScienceHub #MOOC on #SmartSpecialisation is now available. This 7 modules course will walk you through the S3 methodological framework designed for the 🇪🇺 Enlargement and Neighbourhood region.
Start learning now‼️
https://europa.eu/!xnXTcw
🐦🔗: https://n.respublicae.eu/alerainy/status/1688861415094755328
RT @Europeanaeu: Would you like to learn how to tackle #DigitalHeritage and develop effective #Digital Strategies? Join @indices_culture's #MOOC Developing Digital Transition Strategies for CHIs!
📆 Starts TODAY and runs until 10 April 2023.
Enrol now ➡️ https://pro.europeana.eu/post/sign-up-for-a-new-mooc-on-digital-transition-strategies-for-cultural-heritage-institutions
🐦🔗: https://n.respublicae.eu/digicultEU/status/1626230555980496911
#DigitalHeritage #digital #MOOC
Le MOOC Pollinisateurs est ouvert aux inscriptions
Qui sont les principaux pollinisateurs ? Comment interagissent-ils avec les plantes ? etc...
Le MOOC Pollinisateurs vous invite dès le 20 mars 2023 à explorer ce monde proche de nous, peu connu et pourtant vital. Ce cours est gratuit et ouvert à tous. Il se pratique en communauté sur Internet pendant 7 semaines. Rendez-vous dès aujourd’hui sur Tela Formation pour vous inscrire !
Voir le teaser du MOOC : https://vimeo.com/787640500
#Mooc
🇮🇹 Italian teachers do it better!
@Unibo has created a super simple and fun free #MOOC for school teachers who want to introduce #ComputationalThinking and #Coding in their curriculum.
👨💻 Find this and many more trainings in the #Home4DigitalSkills: https://digital-skills-jobs.europa.eu/en/opportunities/training/codemooc-university-urbino
🐦🔗: https://n.respublicae.eu/DigitalSkillsEU/status/1621458480992239617
#MOOC #computationalthinking #coding #Home4DigitalSkills
RT @NetworkNatureEU: Start your year off on the right foot with this #MOOC from @Unibocconi on Sustainable #UrbanRegeneration 🌱 @coursera
See the syllabus, sign up free📝https://www.coursera.org/learn/sustainable-urban-regeneration-2022
🐦🔗: https://n.respublicae.eu/SfEP/status/1613832058760994816
Le MOOC Botanique 1 - Initiation a rencontré un grand succès lors de ses trois diffusions en 2016, 2018 et 2020. 86 319 botanistes amateurs, professionnels ou simplement curieux de nature ont pu bénéficier de ce cours gratuit.
Ce cours est disponible gratuitement en .pdf sur la plateforme Tela Formation, qui rassemble les contenus du MOOC Botanique.
Pour en savoir + et le télécharger RV sur la plateforme Tela Formation https://mooc.tela-botanica.org/course/view.php?id=636
#botanique
#mooc
#telabotanica
#botanique #MOOC #telabotanica
Le MOOC Botanique 1 - Initiation a rencontré un grand succès lors de ses trois diffusions en 2016, 2018 et 2020. 86 319 botanistes amateurs, professionnels ou simplement curieux de nature ont pu bénéficier de ce cours gratuit.
Ce cours est disponible gratuitement en .pdf sur la plateforme Tela Formation, qui rassemble les contenus du MOOC Botanique.
Pour en savoir + et le télécharger RV sur la plateforme Tela Formation https://mooc.tela-botanica.org/course/view.php?id=636
#botanique
#mooc
#telabotanica
#botanique #MOOC #telabotanica
How to use #ArtificialIntelligence & #MachineLearning to improve the use of #Copernicus 🇪🇺🛰️#BigData?
A good starting point is the "#AI for Earth Monitoring" #MOOC 🤖
✍️ Already 10,500 enthusiasts attended it!
Join for free! More at http://eumetsat.int/artificial-intelligence-earth-monitoring-mooc
🐦🔗: https://nitter.eu/CopernicusEU/status/1593522735359164418
#ArtificialIntelligence #MachineLearning #Copernicus #bigdata #AI #MOOC #AI4EO
RT @BelgianEO: Are you already following the new #MOOC on #ArtificialIntelligence for Earth Monitoring? It's been going on for a bit now, but you can still jump in and start from the top!
🏢organised by: @EUMETSAT, @ECMWF, @MercatorOcean and @euenvironment
➡️more: https://eo.belspo.be/en/agenda/copernicus-mooc-bring-ai-and-copernicus-data-together
🐦🔗: https://nitter.eu/CopernicusEU/status/1581970099548082176
RT @proGIreg: What are #naturebasedsolutions and how can we use them to create #sustainablecities? 🏙️
🥕 Learn from proGIreg's 8️⃣ #naturebasedsolutions that have revived post-industrial districts across the #EU 🇪🇺
💻️ Sign-up for our #freecourse #MOOC ➡️ https://progireg.eu/events/?c=search&uid=udYJ79En
#naturebasedsolutions #sustainablecities #EU #freecourse #MOOC
RT @gchumanrights: Despite increased attention on risks and impacts, and the development of guidelines, initiatives and case-law, #BusinessAndHumanRights are still often seen in opposition. But promising initiatives do exist.
Our #MOOC starts today! https://gchumanrights.org/education/e-learning/moocs/business-and-human-rights/about.html
🐦🔗: https://nitter.eu/EURightsAgency/status/1528704657547214849
#businessandhumanrights #MOOC #HumanRightsEducation
RT @CopernicusEU: Explore how #ArtificialIntelligence and #MachineLearning technologies are helping to advance Earth monitoring
9⃣7⃣3⃣3⃣ participants have already joined the #AI4EarthMonitoring #MOOC course to work with #Copernicus #OpenData
It's your turn❗️
👉https://www.futurelearn.com/courses/artificial-intelligence-for-earth-monitoring
🐦🔗: https://nitter.eu/CopernicusEU/status/1519166389587783681
#ArtificialIntelligence #MachineLearning #AI4EarthMonitoring #MOOC #Copernicus #opendata
RT @CopernicusEU: Explore how #ArtificialIntelligence and #MachineLearning technologies are helping to advance Earth monitoring
9⃣7⃣3⃣3⃣ participants have already joined the #AI4EarthMonitoring #MOOC course to work with #Copernicus #OpenData
It's your turn❗️
👉https://www.futurelearn.com/courses/artificial-intelligence-for-earth-monitoring
🐦🔗: https://nitter.eu/CopernicusEU/status/1516861953855172609
#ArtificialIntelligence #MachineLearning #AI4EarthMonitoring #MOOC #Copernicus #opendata
RT @CopernicusEU: Explore how #ArtificialIntelligence and #MachineLearning technologies are helping to advance Earth monitoring
9⃣7⃣3⃣3⃣ participants have already joined the #AI4EarthMonitoring #MOOC course to work with #Copernicus #OpenData
It's your turn❗️
👉https://www.futurelearn.com/courses/artificial-intelligence-for-earth-monitoring
🐦🔗: https://nitter.eu/EU_opendata/status/1516723606100795397
#ArtificialIntelligence #MachineLearning #AI4EarthMonitoring #MOOC #Copernicus #opendata
Explore how #ArtificialIntelligence and #MachineLearning technologies are helping to advance Earth monitoring
9⃣7⃣3⃣3⃣ participants have already joined the #AI4EarthMonitoring #MOOC course to work with #Copernicus #OpenData
It's your turn❗️
👉https://e.copernicus.eu/AI4EarthMonitoringMOOC
🐦🔗: https://nitter.eu/CopernicusEU/status/1516714638574075909
#ArtificialIntelligence #MachineLearning #AI4EarthMonitoring #MOOC #Copernicus #opendata
RT @eumetsat: Join the thousands of other registrants who have enrolled on our "AI for Earth Monitoring" #MOOC to learn about the different ways of working with machine learning techniques and #Copernicus EO data!
Sign up at: https://www.futurelearn.com/courses/artificial-intelligence-for-earth-monitoring
🐦🔗: https://nitter.eu/CopernicusEU/status/1514881138275368961
#MOOC #Copernicus #AI4EarthMonitoring
#MOOC de Conocimiento Abierto y Software Libre
Por la Profesora María Isabel García Arenas de la Universidad de Granada
新年假期准备为一个重要的面试复习 ML,预计面试中有很多针对 basic machine learning fundamentals 的问题(例如:面对某种 dataset,要解答某某问题,应该用什么方法?背后的原理是什么?但不要求当场写码),诚求象友们推荐关于机器学习基础知识(尤其是计算机视觉)的突击复习材料 :ablobcatbongo:
目前的想法是速通尽可能多的下列材料(暂未设优先级),欢迎推荐资源 / 建议优先级 / 指路 ML interview question list!
UCB CS188 课件 - https://inst.eecs.berkeley.edu/~cs188/fa21/
Andrew Ng Deep Learning Specialization 课件 - https://www.coursera.org/specializations/deep-learning?
Jose Portilla 2021 Python for Machine Learning & Data Science Masterclass: ML sections - https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass/
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - http://libgen.rs/search.php?req=Hands-On+Machine+Learning+with+Scikit-Learn%2C+Keras%2C+and+TensorFlow&lg_topic=libgen&open=0&view=simple&res=25&phrase=1&column=def
#machinelearning #programming #LearnInPublic #书影音游bot #MOOC
新年假期准备为一个重要的面试复习 ML,预计面试中有很多针对 basic machine learning fundamentals 的问题(例如:面对某种 dataset,要解答某某问题,应该用什么方法?背后的原理是什么?但不要求当场写码),诚求象友们推荐关于机器学习基础知识(尤其是计算机视觉)的突击复习材料 :ablobcatbongo:
目前的想法是速通尽可能多的下列材料(暂未设优先级),欢迎推荐资源 / 建议优先级 / 指路 ML interview question list!
UCB CS188 课件 - https://inst.eecs.berkeley.edu/~cs188/fa21/
Andrew Ng Deep Learning Specialization 课件 - https://www.coursera.org/specializations/deep-learning?
Jose Portilla 2021 Python for Machine Learning & Data Science Masterclass: ML sections - https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass/
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - http://libgen.rs/search.php?req=Hands-On+Machine+Learning+with+Scikit-Learn%2C+Keras%2C+and+TensorFlow&lg_topic=libgen&open=0&view=simple&res=25&phrase=1&column=def
#MOOC #书影音游bot #LearnInPublic #programming #machinelearning
长期诚征 CS 公开课学伴
@board
正在自学 UC Berkeley DATA 100, 苦于某些习题没答案等于白做,希望可以有学伴互相 sanity check.
预计十二月末或明年年初开始 CS 61A, 同样诚征学伴 :blobcatpeek: