Knot 1652 has 2 dendrites

🔗 daniel-hromada (created_by) weight 1 ❌
🔗 baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning (is_parent) weight 1 ❌

Attributes

epoch :: 1732101243
ogg_url ::
creator :: daniel-hromada
present ::
template :: player
public :: 1
img_url :: /data/img/1652.features.webp
presenttation_timeline ::
presentation_timeline :: [{"eventType":"slidechanged","parameters":{"h":1,"v":0},"timeElapsed":39.594,"folioId":"folio-1657","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":1,"v":1,"f":0},"timeElapsed":70.382,"folioId":"folio-1657","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":1,"v":1,"f":2},"timeElapsed":114.382,"folioId":"folio-1657","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":2,"v":0},"timeElapsed":182.645,"folioId":"folio-1658","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":2,"v":1,"f":0},"timeElapsed":214.382,"folioId":"folio-1658","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":2,"v":1,"f":1},"timeElapsed":288.883,"folioId":"folio-1658","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":2,"v":1,"f":2},"timeElapsed":343.894,"folioId":"folio-1658","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":3,"v":0},"timeElapsed":403.316,"folioId":"folio-1661","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":3,"v":1,"f":0},"timeElapsed":411.757,"folioId":"folio-1661","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":3,"v":1,"f":1},"timeElapsed":452.223,"folioId":"folio-1661","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":3,"v":1,"f":2},"timeElapsed":499.677,"folioId":"folio-1661","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":4,"v":0},"timeElapsed":545.615,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":4,"v":1,"f":0},"timeElapsed":554.681,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":4,"v":1,"f":1},"timeElapsed":604.594,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":4,"v":1,"f":2},"timeElapsed":823.934,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":5,"v":0},"timeElapsed":863.08,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":5,"v":1,"f":0},"timeElapsed":875.223,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":5,"v":1,"f":1},"timeElapsed":1005.272,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":5,"v":1,"f":2},"timeElapsed":1047.701,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":6,"v":0},"timeElapsed":1182.86,"folioId":"folio-1659","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":5,"v":0},"timeElapsed":1188.254,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"fragmenthidden","parameters":{"h":5,"v":1,"f":1},"timeElapsed":1189.842,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"fragmenthidden","parameters":{"h":5,"v":1,"f":0},"timeElapsed":1190.293,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"fragmenthidden","parameters":{"h":5,"v":1,"f":-1},"timeElapsed":1190.549,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":4,"v":0},"timeElapsed":1190.74,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"fragmenthidden","parameters":{"h":4,"v":1,"f":1},"timeElapsed":1191.521,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"fragmenthidden","parameters":{"h":4,"v":1,"f":0},"timeElapsed":1191.745,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"fragmenthidden","parameters":{"h":4,"v":1,"f":-1},"timeElapsed":1191.924,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":3,"v":0},"timeElapsed":1192.093,"folioId":"folio-1661","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":4,"v":0},"timeElapsed":1193.556,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":4,"v":1,"f":0},"timeElapsed":1193.912,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":4,"v":1,"f":1},"timeElapsed":1194.324,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":4,"v":1,"f":2},"timeElapsed":1194.772,"folioId":"folio-1662","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":5,"v":0},"timeElapsed":1195.327,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":5,"v":1,"f":0},"timeElapsed":1197.18,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":5,"v":1,"f":1},"timeElapsed":1197.744,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"fragmentshown","parameters":{"h":5,"v":1,"f":2},"timeElapsed":1198.03,"folioId":"folio-1663","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":6,"v":1,"f":2},"timeElapsed":1198.463,"folioId":"folio-1659","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":7,"v":0},"timeElapsed":1201.428,"folioId":"folio-1660","source":"baumhaus"},{"eventType":"slidechanged","parameters":{"h":8,"v":0},"timeElapsed":1267.015,"folioId":"folio-1660","source":"baumhaus"}]

baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features

Features are observable and measurable properties or characteristics used to describe data in both machine learning and human experience.

In ML, features are input variables—raw (e.g., pixel intensities, audio waveforms) or engineered (e.g., embeddings, statistical summaries)—that models use to make predictions.

In human experience, features represent sensory or cognitive details like color, texture, pitch, or emotional tone, helping interpret and navigate the world.

5 Axones

❌ this knot has_session 🔗 Record of 'baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features' by daniel-hromada (ID: 1664 :: weight 0)
❌ this knot is_parent 🔗 baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features/Features (human experience) (ID: 1657 :: weight 1)
❌ this knot is_parent 🔗 baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features/Features (machine learning) (ID: 1658 :: weight 2)
❌ this knot is_parent 🔗 baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features/Feature detection (ID: 1659 :: weight 3)
❌ this knot is_parent 🔗 baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features/Feature selection (ID: 1660 :: weight 4)

[Impressum, Datenschutz, Login] Other subprojects of wizzion.com linkring: gardens.digital teacher.solar refused.science baumhaus.digital giver.eu naadam.info puerto.life kyberia.de fibel.digital udk.ai

Oh no!

Knot 1652 has 2 dendrites

Attributes