📚 node [[learning]]
Learning
-
Learning is virtuous because it is by learning about the world that we can seek to improve it.
- We can improve it for ourselves, but also for [[others]].
- We can improve the world by changing it.
- [[Change the world]].
Table of Contents
- [[related]] [[spacedrep]]
[2020-02-14]
Ask HN: How do you learn complex, dense technical information? [[learning]]
related [[spacedrep]]
[2020-02-14]
Ask HN: How do you learn complex, dense technical information? [[learning]]
📖 stoas
- public document at doc.anagora.org/learning
- video call at meet.jit.si/learning
⥱ context
← back
2021 09 21
2022 04 24
2022 08 09
2022 08 12
2022 10 24
2023 02 11
2023 03 06
2023 03 29
being open
learning rust
pkm
relationships
robofriend as socrates
robofriend is socrates
stephen downes
tostudy
2021 09 21
2022 04 24
2022 08 09
2022 08 12
2022 10 24
2023 02 11
2023 03 06
2023 03 29
being open
learning rust
pkm
relationships
robofriend as socrates
robofriend is socrates
stephen downes
tostudy
↑ pushing here
(none)
(none)
↓ pulling this
(none)
(none)
⥅ related node [[reading and learning]]
⥅ related node [[zettelkasten learning method]]
⥅ related node [[cap table learning]]
⥅ related node [[machine learning]]
⥅ related node [[a conversation about annotation literacy and learning]]
⥅ related node [[center for collective learning]]
⥅ related node [[language learning with netflix]]
⥅ related node [[learning rust]]
⥅ related node [[learning to learn]]
⥅ related node [[social learning across content]]
⥅ related node [[e learning platform for independent course creators]]
⥅ related node [[e textbook design for learning]]
⥅ related node [[e the goal of learning should be producing]]
⥅ related node [[learning math with iversity]]
⥅ related node [[fear and learning]]
⥅ related node [[learning cycles]]
⥅ related node [[learning from ochs]]
⥅ related node [[learning graphviz]]
⥅ related node [[learning to use fedwiki]]
⥅ related node [[learning to wait]]
⥅ related node [[learning vs blaming]]
⥅ related node [[ochs learning cohort1]]
⥅ related node [[positive to negative affect in learning environments]]
⥅ related node [[applications for the three types of machine learning]]
⥅ related node [[classification supervised learning]]
⥅ related node [[deep learning in nlp]]
⥅ related node [[deep learning]]
⥅ related node [[perceptron learning]]
⥅ related node [[q learning]]
⥅ related node [[regression supervised learning]]
⥅ related node [[reinforcement supervised learning]]
⥅ related node [[reinforcement learning in nlp]]
⥅ related node [[supervised learning]]
⥅ related node [[unsupervised learning]]
⥅ related node [[active learning]]
⥅ related node [[federated_learning]]
⥅ related node [[few shot_learning]]
⥅ related node [[learning_rate]]
⥅ related node [[machine_learning]]
⥅ related node [[one shot_learning]]
⥅ related node [[reinforcement_learning_(rl)]]
⥅ related node [[semi supervised_learning]]
⥅ related node [[tabular_q learning]]
⥅ related node [[transfer_learning]]
⥅ related node [[unsupervised_machine_learning]]
⥅ related node [[professional machine learning workstation exxact quote]]
⥅ related node [[transfer learning ibm]]
⥅ related node [[watson machine learning]]
⥅ related node [[cross disciplinary learning]]
⥅ related node [[double loop learning]]
⥅ related node [[learning from indigenous culture]]
⥅ related node [[learning in public]]
⥅ related node [[machine learning algorithms]]
⥅ related node [[networked learning]]
⥅ related node [[personal learning environment]]
⥅ related node [[network of learning]]
⥅ related node [[passive learning]]
🔎 full text search for 'learning'