I've created this page because I'm interested in building a community around artificial intelligence and its use on the Wikimedia projects. Feel free to use this page to ask questions and propose ideas. Harej (WMF) (talk) 22:46, 23 August 2018 (UTC)
Exposing state of affairs and defining goalsEdit
Hi @Harej (WMF):, to make progress this group, it might be interesting to start with dressing a state of affairs and defining some goals. Here are a liste of related links to start:
- What should an AI do you for you? Building an AI Wishlist.
- Machine translation efforts for underserved languages
- Advanced technology
- Actually this one seems to be rather close to the current page goal, and already attracted more people, so we might want to merge this initiatives.
Resources for Machine LearningEdit
For Machine Learning
MOOCs & Books Machine Learning Beginners with scikit-learn 1) kaggle.com/learn 2) https://www.dataschool.io/machine-learning-with-scikit-learn/ 3) https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp 4)Coursera
a) https://www.coursera.org/specializations/machine-learning b) https://www.coursera.org/specializations/data-science-python
a)Hands On Machine Learning with Scikit Learn and TensorFlow O'Reilly b)Python Machine Learning by Sebastian Raschka
Machine Learning Intermediate with Tensorflow 1) https://developers.google.com/machine-learning/crash-course/ 2) Coursera: Machine Learning with TensorFlow on Google Cloud Platform Specialization
Other Resources Datasets
http://academictorrents.com/ https://github.com/awesomedata/awesome-public-datasets https://gengo.ai/articles/the-50-best-free-datasets-for-machine-learning/ https://www.forbes.com/sites/bernardmarr/2018/02/26/big-data-and-ai-30-amazing-and-free-public-data-sources-for-2018
Academic Research Journals Important Papers https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html http://jmlr.org/papers/v15/delgado14a.html
Keeping updated with Latest Research https://arxiv.org/ http://www.arxiv-sanity.com/ (Very Useful resource. Automatically recommends new papers according to your interests) http://www.gitxiv.com/ (Source code of arxiv papers)
Summary of good papers https://github.com/dennybritz/deeplearning-papernotes https://medium.com/paper-club https://www.youtube.com/channel/UCNIkB2IeJ-6AmZv7bQ1oBYg (Arxiv Insights) https://www.youtube.com/user/keeroyz (2 minutes papers)
Dear AI developers and all,
as you might already know, the EU is working about a regulation of the AI environment, in order to promote its potential and at the same time to protect the citizens from unwanted uses. It is going to be an important moment for achieving the most empowering, safe and clear definition of the rights and duties related to the AI, affecting also Wikimedia's opportunities, not only inside EU. I kindly invite you all to participate to the discussion, firstly by commenting the page that we dedicated to it, in order to draft Wikimedia's answers to this legislative initiative of the EU.
The EU's survey will remain open until 14 June 2020, but we will take input into account until 31 May 2020.