# "*": "https://raw.githubusercontent.com/wefindx/schema/master/intent/oo-item.yaml" # "base:title": "0oo - Personal data collection for learning" "og:title": "Personal data collection for learning" "og:description": "We can query data in interesting ways, feed them into neural networks and create regressions with logistical regressions. We just need the data to do it We could predict when you would go to a cafe based on instances of you going to a cafe. If you plot "went to cafe" on the Y axis and X axis as a timestamp. You can run a neural network and predict when going to a cafe will happen. You could train this system and it would get more accurate over time." "og:image": "https://avatars0.githubusercontent.com/u/28134655" "og:url": "/intent/1304/" "base:css": "/static/css/bootstrap.min.9c25540d6272.css" "base:extra-css": "/static/css/base.57997aeac1df.css" "base:favicon": "/static/favicon.acaa334f0136.ico" "base:body_class": "" "layout:logo": "/static/0oo.8d2a8bbef612.svg" "layout:index": "/" "layout:menu": "/menu/" "layout:categories": "/intents/" "layout:ideas": "/methods/" "layout:projects": "/projects/" "layout:users": "/users/" "layout:about": "/about/" "layout:help": "/help/" "layout:bug_report": "https://github.com/wefindx/0oo" "layout:login": "/accounts/login/" "layout:light-off": "/darken/?darken=true" "layout:set-multilingual": "/mulang/?mulang=true" "layout:lang": "Language" "layout:set-language-post-action": "/i18n/setlang/" "layout:csrf-token": "39h0eRZKdmbaJ1YNpC6BXWDULoFdQpU1nGHeXVKpHrVOr20pWuguGuRGm2R8m9KW" "layout:input-next": "/intent/1304/" "layout:languages": [{"code": "ja", "is-active": "false", "name": "日本語"}, {"code": "lt", "is-active": "false", "name": "Lietuviškai"}, {"code": "zh-hans", "is-active": "false", "name": "简体中文"}, {"code": "en", "is-active": "true", "name": "English"}, {"code": "ru", "is-active": "false", "name": "Русский"}, {"code": "oo", "is-active": "false", "name": "O;o,"}] # "item:title": "Personal data collection for learning" "item:votes": 0 "item:add-vote": "#addnote" "item:intent": "/intent/1304/?l=en" "item:base-administration": false "item:body": | We can query data in interesting ways, feed them into neural networks and create regressions with logistical regressions. We just need the data to do it We could predict when you would go to a cafe based on instances of you going to a cafe. If you plot "went to cafe" on the Y axis and X axis as a timestamp. You can run a neural network and predict when going to a cafe will happen. You could train this system and it would get more accurate over time. "item:permalink": "/intent/1304/?l=en" "item:source-date": "" "item:owner": "chronological" "item:ownerlink": "/user/198/chronological" "item:created": "2020-08-30T11:38:06.932000" "item:intent:child:add": "/admin/hlog/intent/add/?parent=1304" # "item:method:items": - "id": "i-897" "title": "Interactive YAML Notes!" "summary": "" "url": "/method/897/" "owner": "Mindey" "permalink": "/intent/1304/?l=en#i-897" "ownerlink": "/user/147/Mindey" "created": "2019-10-14T14:04:44.771000" "item:method:add": "/admin/hlog/method/add/?parent=1304" "item:comment:add": "/intents/addnote?parent=1304" "item:comment:add:csrf_token": "39h0eRZKdmbaJ1YNpC6BXWDULoFdQpU1nGHeXVKpHrVOr20pWuguGuRGm2R8m9KW" "item:comment:form": |
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  • Please, log in. # "item:comment:items": - "id": "r-115" "text": | Yeah, you could do all of that, and much more, like the things mentioned under **[Social Real-Time Data Sharing](/intent/30/social-real-time-data-sharing)**. ;) "owner": "Mindey" "ownerlink": "/user/147/Mindey" "permalink": "/intent/1304/?l=en#r-115" "created": "2020-08-30T11:42:05.238000" "vote": "" "base:js": "/static/js/base.c7357c06cc89.js"