Aan de slag met Data Science Workspace for Data Scientists
Meer weten over Data Science Workspace in Adobe Experience Platform? Deze playlist wordt ontworpen voor gegevenswetenschappers die willen leren hoe te om Notities te gebruiken JupyterLab om inzichten en vraaggegevens af te leiden, profiel-toegelaten datasets tot stand te brengen, geautomatiseerde machine het leren modellen te publiceren, en machine-geleerde inzichten aan zowel Adobe als niet-Adobe toepassingen te activeren.
Overzicht van Data Science Workspace
De visie van machine het leren op Adobe Experience Platform is gegevenswetenschap te democratiseren door de domeindeskundigheid van de producten van de Adobe, klanten, en partners te gebruiken om een ecosysteem van intelligente diensten tot stand te brengen om de volgende generatie van klantenervaringen te drijven. Data Science Workspace maakt het gemakkelijk om toegang te krijgen tot omni-channel gegevens, modellen te bouwen, modellen te exploiteren met een éénklikimplementatie, en modelinzichten te verbruiken door hen via klantenprofielen in real time te delen. In deze video wordt een overzicht gegeven van wat Data Science Workspace is en van de waarde die deze biedt aan bedrijven.
372
{ "description": "De visie van machine het leren op Adobe Experience Platform is gegevenswetenschap te democratiseren door de domeindeskundigheid van de producten van de Adobe, klanten, en partners te gebruiken om een ecosysteem van intelligente diensten tot stand te brengen om de volgende generatie van klantenervaringen te drijven. Data Science Workspace maakt het gemakkelijk om toegang te krijgen tot omni-channel gegevens, modellen te bouwen, modellen te exploiteren met een éénklikimplementatie, en modelinzichten te verbruiken door hen via klantenprofielen in real time te delen. In deze video wordt een overzicht gegeven van wat Data Science Workspace is en van de waarde die deze biedt aan bedrijven.", "duration": "PT0H6M12S", "embedUrl": "https://video.tv.adobe.com/v/30567/", "name": "Overzicht van Data Science Workspace", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567748-100x56.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567749-150x84.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567749-200x113.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567749-220x124.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567749-236x133.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567749-290x186.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567750-420x236.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567750-640x360.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567750-666x374.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567750-720x405.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567751-1920x1080.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/4e2bb11f-587d-4c72-844f-6cb9c3c4e790/9b2deb28359741109fb607ef8e338e04_1619567751-960x540.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2020-01-07T21:43:47Z", "hasPart": [ { "@type": "Clip", "name": "Data Science Workspace use cases", "startOffset": 54, "endOffset": 101, "url": "https://video.tv.adobe.com/v/30567/?t=54" }, { "@type": "Clip", "name": "Common challenges", "startOffset": 102, "endOffset": 150, "url": "https://video.tv.adobe.com/v/30567/?t=102" }, { "@type": "Clip", "name": "AI/ML journey in Platform", "startOffset": 151, "endOffset": 161, "url": "https://video.tv.adobe.com/v/30567/?t=151" }, { "@type": "Clip", "name": "Data preparation", "startOffset": 162, "endOffset": 209, "url": "https://video.tv.adobe.com/v/30567/?t=162" }, { "@type": "Clip", "name": "Model development", "startOffset": 210, "endOffset": 252, "url": "https://video.tv.adobe.com/v/30567/?t=210" }, { "@type": "Clip", "name": "Model deployment", "startOffset": 253, "endOffset": 284, "url": "https://video.tv.adobe.com/v/30567/?t=253" }, { "@type": "Clip", "name": "Activating model insights", "startOffset": 285, "endOffset": 317, "url": "https://video.tv.adobe.com/v/30567/?t=285" }, { "@type": "Clip", "name": "Conclusion", "startOffset": 318, "endOffset": 372, "url": "https://video.tv.adobe.com/v/30567/?t=318" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Overzicht van Data Science Workspace" }
Overzicht van Workspace-architectuur voor gegevenswetenschappen
Deze video beschrijft de overkoepelende architectuur en illustreert de primaire componenten van Data Science Workspace in Adobe Experience Platform.
281
{ "description": "Deze video beschrijft de overkoepelende architectuur en illustreert de primaire componenten van Data Science Workspace in Adobe Experience Platform.", "duration": "PT0H4M41S", "embedUrl": "https://video.tv.adobe.com/v/332368/", "name": "Overzicht van Workspace-architectuur voor gegevenswetenschappen", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624067-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624067-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624067-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624067-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624067-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624068-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624068-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624068-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624068-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624069-1920x1080.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624069-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/498beb52-326b-4e3d-9ade-1d3f6f729d31/652fd7ee67d1435596b2f96d8b7e56ed_1616624069-960x540.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-03-24T21:18:03Z", "hasPart": [ { "@type": "Clip", "name": "Data Collection", "startOffset": 14, "endOffset": 47, "url": "https://video.tv.adobe.com/v/332368/?t=14" }, { "@type": "Clip", "name": "Streaming data path", "startOffset": 48, "endOffset": 60, "url": "https://video.tv.adobe.com/v/332368/?t=48" }, { "@type": "Clip", "name": "Batch data collection", "startOffset": 61, "endOffset": 92, "url": "https://video.tv.adobe.com/v/332368/?t=61" }, { "@type": "Clip", "name": "Data Science Workspace", "startOffset": 93, "endOffset": 167, "url": "https://video.tv.adobe.com/v/332368/?t=93" }, { "@type": "Clip", "name": "Model operationalization ", "startOffset": 168, "endOffset": 222, "url": "https://video.tv.adobe.com/v/332368/?t=168" }, { "@type": "Clip", "name": "Model insight outputs", "startOffset": 223, "endOffset": 281, "url": "https://video.tv.adobe.com/v/332368/?t=223" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Overzicht van Workspace-architectuur voor gegevenswetenschappen" }
Het cursusschema en de gegevensset maken
Leer hoe te om de de cursusdataset en het schema tot stand te brengen van de Wetenschap van Gegevens die in de rest van de cursus worden gebruikt.
246
{ "description": "Leer hoe te om de de cursusdataset en het schema tot stand te brengen van de Wetenschap van Gegevens die in de rest van de cursus worden gebruikt.", "duration": "PT0H4M6S", "embedUrl": "https://video.tv.adobe.com/v/333312/", "name": "Het cursusschema en de gegevensset maken", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666631-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666631-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666631-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666631-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666632-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666632-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666632-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666632-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666632-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666633-1920x1080.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666633-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/74615293-146a-46f0-bc7b-652c25c82769/df3464f2f8ae42c49810ebd9e628b5e9_1622666633-960x540.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-05-15T22:13:10Z", "hasPart": [ { "@type": "Clip", "name": "Begin demo", "startOffset": 17, "endOffset": 35, "url": "https://video.tv.adobe.com/v/333312/?t=17" }, { "@type": "Clip", "name": "Create the dataset schema", "startOffset": 36, "endOffset": 59, "url": "https://video.tv.adobe.com/v/333312/?t=36" }, { "@type": "Clip", "name": "Add schema field groups", "startOffset": 60, "endOffset": 97, "url": "https://video.tv.adobe.com/v/333312/?t=60" }, { "@type": "Clip", "name": "Set Primary ID", "startOffset": 98, "endOffset": 136, "url": "https://video.tv.adobe.com/v/333312/?t=98" }, { "@type": "Clip", "name": "Create a new dataset", "startOffset": 137, "endOffset": 185, "url": "https://video.tv.adobe.com/v/333312/?t=137" }, { "@type": "Clip", "name": "Ingest data using batch mode", "startOffset": 186, "endOffset": 222, "url": "https://video.tv.adobe.com/v/333312/?t=186" }, { "@type": "Clip", "name": "Preview the data", "startOffset": 223, "endOffset": 246, "url": "https://video.tv.adobe.com/v/333312/?t=223" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Het cursusschema en de gegevensset maken" }
Gegevens laden in JupyterLab-laptops
In deze video ziet u hoe u een JupyterLab-laptop maakt en gegevens uit Adobe Experience Platform laadt. Het toont ook hoe u de prestaties van uw laptop kunt verbeteren wanneer u met grote hoeveelheden gegevens werkt.
0
{ "description": "In deze video ziet u hoe u een JupyterLab-laptop maakt en gegevens uit Adobe Experience Platform laadt. Het toont ook hoe u de prestaties van uw laptop kunt verbeteren wanneer u met grote hoeveelheden gegevens werkt.", "duration": "PT0H0M0S", "embedUrl": "https://video.tv.adobe.com/v/329612/", "name": "Gegevens laden in JupyterLab-laptops", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130287-100x56.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130288-150x84.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130288-200x113.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130288-220x124.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130289-236x133.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130289-290x186.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130289-420x236.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130290-640x360.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130290-666x374.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130290-720x405.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130290-960x540.jpg", "https://images-tv.adobe.com/mpcv3/0663e587-56d7-4521-a00c-c7bd860ce18e/01c24323-e3ca-4dc6-9e86-e57ba8733f7f/16327d5b356f468384a8ccff11517e23_1612130291-1920x1080.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2020-12-17T23:01:53Z", "hasPart": [ { "@type": "Clip", "name": "User interface", "startOffset": 17, "endOffset": 66, "url": "https://video.tv.adobe.com/v/329612/?t=17" }, { "@type": "Clip", "name": "Load Platform data", "startOffset": 67, "endOffset": 126, "url": "https://video.tv.adobe.com/v/329612/?t=67" }, { "@type": "Clip", "name": "Increase performance", "startOffset": 127, "endOffset": 160, "url": "https://video.tv.adobe.com/v/329612/?t=127" }, { "@type": "Clip", "name": "Use batch mode with large amounts of data", "startOffset": 161, "endOffset": 0, "url": "https://video.tv.adobe.com/v/329612/?t=161" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Gegevens laden in JupyterLab-laptops" }
Gegevens opvragen en ontdekken in Data Science Workspace
Met Adobe Experience Platform kunt u SQL (Structured Query Language) gebruiken in Data Science Workspace door Query Service in JupyterLab te integreren als een standaardfunctie.
555
{ "description": "Met Adobe Experience Platform kunt u SQL (Structured Query Language) gebruiken in Data Science Workspace door Query Service in JupyterLab te integreren als een standaardfunctie.", "duration": "PT0H9M15S", "embedUrl": "https://video.tv.adobe.com/v/333311/", "name": "Gegevens opvragen en ontdekken in Data Science Workspace", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908158-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908159-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908159-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908159-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908159-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908159-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908159-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908160-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908160-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908160-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908160-960x540.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/29b8bfc5-d0c5-4282-b40e-e6225efb9e9d/b4ed3303c5df4bf1abe50b315ed6abb8_1624908161-1920x1080.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-05-15T22:11:33Z", "hasPart": [ { "@type": "Clip", "name": "Why Query Service?", "startOffset": 25, "endOffset": 113, "url": "https://video.tv.adobe.com/v/333311/?t=25" }, { "@type": "Clip", "name": "Using Query Service", "startOffset": 114, "endOffset": 180, "url": "https://video.tv.adobe.com/v/333311/?t=114" }, { "@type": "Clip", "name": "Components of Query Service", "startOffset": 181, "endOffset": 196, "url": "https://video.tv.adobe.com/v/333311/?t=181" }, { "@type": "Clip", "name": "Start Demo", "startOffset": 197, "endOffset": 234, "url": "https://video.tv.adobe.com/v/333311/?t=197" }, { "@type": "Clip", "name": "Import libraries", "startOffset": 235, "endOffset": 273, "url": "https://video.tv.adobe.com/v/333311/?t=235" }, { "@type": "Clip", "name": "Configure Query Service in Notebooks", "startOffset": 274, "endOffset": 296, "url": "https://video.tv.adobe.com/v/333311/?t=274" }, { "@type": "Clip", "name": "Find your dataset", "startOffset": 297, "endOffset": 392, "url": "https://video.tv.adobe.com/v/333311/?t=297" }, { "@type": "Clip", "name": "Data discovery", "startOffset": 393, "endOffset": 420, "url": "https://video.tv.adobe.com/v/333311/?t=393" }, { "@type": "Clip", "name": "Query: hourly activity", "startOffset": 421, "endOffset": 475, "url": "https://video.tv.adobe.com/v/333311/?t=421" }, { "@type": "Clip", "name": "Query: Top 10 pages", "startOffset": 476, "endOffset": 512, "url": "https://video.tv.adobe.com/v/333311/?t=476" }, { "@type": "Clip", "name": "Conclusion", "startOffset": 513, "endOffset": 555, "url": "https://video.tv.adobe.com/v/333311/?t=513" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Gegevens opvragen en ontdekken in Data Science Workspace" }
Analyse van verkennende gegevens in Data Science Workspace
De verkennende zelfstudie van de Analyse van Gegevens (EDA) wordt ontworpen om u bij het ontdekken van patronen in gegevens te helpen, gegevensgezondheid te controleren, en het samenvatten van de relevante gegevens voor voorspellende modellen.
654
{ "description": "De verkennende zelfstudie van de Analyse van Gegevens (EDA) wordt ontworpen om u bij het ontdekken van patronen in gegevens te helpen, gegevensgezondheid te controleren, en het samenvatten van de relevante gegevens voor voorspellende modellen.", "duration": "PT0H10M54S", "embedUrl": "https://video.tv.adobe.com/v/333310/", "name": "Analyse van verkennende gegevens in Data Science Workspace", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665337-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665338-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665338-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665338-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665338-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665338-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665338-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665339-1920x1080.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665339-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665339-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665339-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/41825c6c-eb27-4002-ab7b-9e4c299861c1/64d3c78ea6264f6db67e8f3a76b25468_1622665339-960x540.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-05-15T22:05:37Z", "hasPart": [ { "@type": "Clip", "name": "What is EDA?", "startOffset": 34, "endOffset": 140, "url": "https://video.tv.adobe.com/v/333310/?t=34" }, { "@type": "Clip", "name": "Start demo", "startOffset": 141, "endOffset": 206, "url": "https://video.tv.adobe.com/v/333310/?t=141" }, { "@type": "Clip", "name": "Set prediction variable", "startOffset": 207, "endOffset": 234, "url": "https://video.tv.adobe.com/v/333310/?t=207" }, { "@type": "Clip", "name": "Data aggregation and goal creation", "startOffset": 235, "endOffset": 272, "url": "https://video.tv.adobe.com/v/333310/?t=235" }, { "@type": "Clip", "name": "Merge features with a goal", "startOffset": 273, "endOffset": 315, "url": "https://video.tv.adobe.com/v/333310/?t=273" }, { "@type": "Clip", "name": "Missing values and outliers", "startOffset": 316, "endOffset": 423, "url": "https://video.tv.adobe.com/v/333310/?t=316" }, { "@type": "Clip", "name": "Univariate analysis", "startOffset": 424, "endOffset": 560, "url": "https://video.tv.adobe.com/v/333310/?t=424" }, { "@type": "Clip", "name": "Bivariate analysis", "startOffset": 561, "endOffset": 623, "url": "https://video.tv.adobe.com/v/333310/?t=561" }, { "@type": "Clip", "name": "Important numerical features", "startOffset": 624, "endOffset": 654, "url": "https://video.tv.adobe.com/v/333310/?t=624" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Analyse van verkennende gegevens in Data Science Workspace" }
Overzicht van recept, modellen en services
Meer informatie over recepten, modellen en services in Adobe Experience Platform Data Science Workspace.
528
{ "description": "Meer informatie over recepten, modellen en services in Adobe Experience Platform Data Science Workspace.", "duration": "PT0H8M48S", "embedUrl": "https://video.tv.adobe.com/v/333380/", "name": "Overzicht van recept, modellen en services", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666009-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666009-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666009-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666009-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666010-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666010-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666010-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666010-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666010-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666010-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666011-1920x1080.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fc33fb27-af02-49e0-b84e-e65be4f291e2/d768bf8846ae4a5081f832b80a6db3bb_1622666011-960x540.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-05-19T00:46:45Z", "hasPart": [ { "@type": "Clip", "name": "Components recap", "startOffset": 37, "endOffset": 60, "url": "https://video.tv.adobe.com/v/333380/?t=37" }, { "@type": "Clip", "name": "Machine learning process", "startOffset": 61, "endOffset": 75, "url": "https://video.tv.adobe.com/v/333380/?t=61" }, { "@type": "Clip", "name": "Modeling", "startOffset": 76, "endOffset": 103, "url": "https://video.tv.adobe.com/v/333380/?t=76" }, { "@type": "Clip", "name": "Recipes", "startOffset": 104, "endOffset": 128, "url": "https://video.tv.adobe.com/v/333380/?t=104" }, { "@type": "Clip", "name": "Experimentation", "startOffset": 129, "endOffset": 156, "url": "https://video.tv.adobe.com/v/333380/?t=129" }, { "@type": "Clip", "name": "Publish a service", "startOffset": 157, "endOffset": 177, "url": "https://video.tv.adobe.com/v/333380/?t=157" }, { "@type": "Clip", "name": "Consume insights", "startOffset": 178, "endOffset": 198, "url": "https://video.tv.adobe.com/v/333380/?t=178" }, { "@type": "Clip", "name": "Machine learning algorithms", "startOffset": 199, "endOffset": 205, "url": "https://video.tv.adobe.com/v/333380/?t=199" }, { "@type": "Clip", "name": "Supervised learning", "startOffset": 206, "endOffset": 280, "url": "https://video.tv.adobe.com/v/333380/?t=206" }, { "@type": "Clip", "name": "Unsupervised learning", "startOffset": 281, "endOffset": 316, "url": "https://video.tv.adobe.com/v/333380/?t=281" }, { "@type": "Clip", "name": "Reinforcement learning", "startOffset": 317, "endOffset": 356, "url": "https://video.tv.adobe.com/v/333380/?t=317" }, { "@type": "Clip", "name": "Accuracy", "startOffset": 357, "endOffset": 374, "url": "https://video.tv.adobe.com/v/333380/?t=357" }, { "@type": "Clip", "name": "Precision", "startOffset": 375, "endOffset": 404, "url": "https://video.tv.adobe.com/v/333380/?t=375" }, { "@type": "Clip", "name": "Model tuning", "startOffset": 405, "endOffset": 436, "url": "https://video.tv.adobe.com/v/333380/?t=405" }, { "@type": "Clip", "name": "Hyperparameters", "startOffset": 437, "endOffset": 528, "url": "https://video.tv.adobe.com/v/333380/?t=437" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Overzicht van recept, modellen en services" }
Modelprestaties analyseren
In deze video ziet u enkele van de verschillende methoden die worden gebruikt om de prestaties van een model te analyseren, zoals een verwarringsmatrix, nauwkeurigheid, recall en precisie.
254
{ "description": "In deze video ziet u enkele van de verschillende methoden die worden gebruikt om de prestaties van een model te analyseren, zoals een verwarringsmatrix, nauwkeurigheid, recall en precisie.", "duration": "PT0H4M14S", "embedUrl": "https://video.tv.adobe.com/v/333427/", "name": "Modelprestaties analyseren", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663567-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663567-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663567-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663567-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663567-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663567-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663568-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663568-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663568-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663568-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663568-960x540.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/52001ec0-b22e-4f50-a875-e72c81f1056c/246a1cb3706b4853a107f5adb9a9f442_1622663569-1920x1080.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-05-21T22:48:02Z", "hasPart": [ { "@type": "Clip", "name": "Selecting metrics", "startOffset": 35, "endOffset": 120, "url": "https://video.tv.adobe.com/v/333427/?t=35" }, { "@type": "Clip", "name": "Model evaluation demo", "startOffset": 121, "endOffset": 254, "url": "https://video.tv.adobe.com/v/333427/?t=121" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Modelprestaties analyseren" }
Een model maken met de sjabloon voor het samenstellen van het recept
In deze video ziet u hoe u het model voor het maken van het recept kunt gebruiken in de JupyterLab-startprogramma om een model voor eigenschappen op te leiden en te scoren en een recept te maken.
501
{ "description": "In deze video ziet u hoe u het model voor het maken van het recept kunt gebruiken in de JupyterLab-startprogramma om een model voor eigenschappen op te leiden en te scoren en een recept te maken.", "duration": "PT0H8M21S", "embedUrl": "https://video.tv.adobe.com/v/333570/", "name": "Een model maken met de sjabloon voor het samenstellen van het recept", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665502-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665502-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665502-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665503-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665503-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665503-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665503-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665503-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665503-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665503-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665504-1920x1080.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/d5910e19-d9e4-4b4d-846a-b5894dcbfcca/cddc7f88a55c4cb9b309ef467a78b0b0_1622665504-960x540.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-05-27T19:52:55Z", "hasPart": [ { "@type": "Clip", "name": "Configure datasets", "startOffset": 38, "endOffset": 104, "url": "https://video.tv.adobe.com/v/333570/?t=38" }, { "@type": "Clip", "name": "Training data loader", "startOffset": 105, "endOffset": 241, "url": "https://video.tv.adobe.com/v/333570/?t=105" }, { "@type": "Clip", "name": "Scoring data loader", "startOffset": 242, "endOffset": 260, "url": "https://video.tv.adobe.com/v/333570/?t=242" }, { "@type": "Clip", "name": "Pipeline file", "startOffset": 261, "endOffset": 294, "url": "https://video.tv.adobe.com/v/333570/?t=261" }, { "@type": "Clip", "name": "Evaluator file", "startOffset": 295, "endOffset": 360, "url": "https://video.tv.adobe.com/v/333570/?t=295" }, { "@type": "Clip", "name": "Data saver file", "startOffset": 361, "endOffset": 397, "url": "https://video.tv.adobe.com/v/333570/?t=361" }, { "@type": "Clip", "name": "Create a recipe", "startOffset": 398, "endOffset": 501, "url": "https://video.tv.adobe.com/v/333570/?t=398" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Een model maken met de sjabloon voor het samenstellen van het recept" }
Een getraind model maken en publiceren
Leer hoe u een model kunt maken, trainen, evalueren en publiceren met behulp van een recept dat is gemaakt met de JupyterLab-laptop voor het maken van recept.
184
{ "description": "Leer hoe u een model kunt maken, trainen, evalueren en publiceren met behulp van een recept dat is gemaakt met de JupyterLab-laptop voor het maken van recept.", "duration": "PT0H3M4S", "embedUrl": "https://video.tv.adobe.com/v/333595/", "name": "Een getraind model maken en publiceren", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664594-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664594-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664594-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664594-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664594-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664595-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664595-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664595-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664595-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664595-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664595-960x540.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/5715b3dc-d55b-4105-86ce-f134a818016d/294bde8d6ebb4d90aec0c94d418a39ad_1622664596-1920x1080.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-05-28T02:34:38Z", "hasPart": [ { "@type": "Clip", "name": "Find your recipe", "startOffset": 9, "endOffset": 45, "url": "https://video.tv.adobe.com/v/333595/?t=9" }, { "@type": "Clip", "name": "Create a model from a recipe", "startOffset": 46, "endOffset": 94, "url": "https://video.tv.adobe.com/v/333595/?t=46" }, { "@type": "Clip", "name": "Start a scoring run", "startOffset": 95, "endOffset": 128, "url": "https://video.tv.adobe.com/v/333595/?t=95" }, { "@type": "Clip", "name": "Publish a model as a Service", "startOffset": 129, "endOffset": 184, "url": "https://video.tv.adobe.com/v/333595/?t=129" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Een getraind model maken en publiceren" }
Geautomatiseerde training en scoring voor een service plannen
Leer hoe u automatische training en scoring instelt voor een service in Data Science Workspace.
172
{ "description": "Leer hoe u automatische training en scoring instelt voor een service in Data Science Workspace.", "duration": "PT0H2M52S", "embedUrl": "https://video.tv.adobe.com/v/333596/", "name": "Geautomatiseerde training en scoring voor een service plannen", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666197-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666197-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666197-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666197-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666197-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666197-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666197-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666198-1920x1080.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666198-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666198-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666198-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/6e6c789e-0e6e-470e-bcf3-629817b20b20/66a35a68557546909ea40cd7e3e3f98d_1622666198-960x540.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-05-28T03:47:01Z", "hasPart": [ { "@type": "Clip", "name": "Service UI", "startOffset": 8, "endOffset": 25, "url": "https://video.tv.adobe.com/v/333596/?t=8" }, { "@type": "Clip", "name": "Create a training schedule", "startOffset": 26, "endOffset": 93, "url": "https://video.tv.adobe.com/v/333596/?t=26" }, { "@type": "Clip", "name": "Create a scoring schedule", "startOffset": 94, "endOffset": 150, "url": "https://video.tv.adobe.com/v/333596/?t=94" }, { "@type": "Clip", "name": "Update or remove a schedule", "startOffset": 151, "endOffset": 172, "url": "https://video.tv.adobe.com/v/333596/?t=151" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Geautomatiseerde training en scoring voor een service plannen" }
Uitvoer van machinaal leren gebruiken in segmentatie
Leer hoe de het modeloutput van Workspace van de Wetenschap van Gegevens in het Profiel en de segmentatie van de Klant in real time kan worden gebruikt.
387
{ "description": "Leer hoe de het modeloutput van Workspace van de Wetenschap van Gegevens in het Profiel en de segmentatie van de Klant in real time kan worden gebruikt.", "duration": "PT0H6M27S", "embedUrl": "https://video.tv.adobe.com/v/333711/", "name": "Uitvoer van machinaal leren gebruiken in segmentatie", "thumbnailUrl": [ "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664768-100x56.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664768-150x84.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664768-200x113.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664769-220x124.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664769-236x133.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664769-290x186.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664769-420x236.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664769-640x360.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664769-666x374.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664770-1920x1080.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664770-720x405.jpg", "https://images-tv.adobe.com/mpcv3/eafa326a-6d93-48ba-a6ff-d9b7d64a56e0/fb484bd9-609d-43e8-ba5e-94cee855439e/2bd71bd88b1d4a648588165ddc645a98_1622664770-960x540.jpg" ], "@type": [ "VideoObject", "LearningResource" ], "uploadDate": "2021-06-01T01:49:19Z", "hasPart": [ { "@type": "Clip", "name": "Understanding Real-time Customer Profile", "startOffset": 12, "endOffset": 90, "url": "https://video.tv.adobe.com/v/333711/?t=12" }, { "@type": "Clip", "name": "Profile lookup", "startOffset": 91, "endOffset": 195, "url": "https://video.tv.adobe.com/v/333711/?t=91" }, { "@type": "Clip", "name": "Modify the Profile dashboard", "startOffset": 196, "endOffset": 239, "url": "https://video.tv.adobe.com/v/333711/?t=196" }, { "@type": "Clip", "name": "Create a segment", "startOffset": 240, "endOffset": 311, "url": "https://video.tv.adobe.com/v/333711/?t=240" }, { "@type": "Clip", "name": "Activate a segment", "startOffset": 312, "endOffset": 387, "url": "https://video.tv.adobe.com/v/333711/?t=312" } ], "educationLevel": [ "Beginner" ], "learningResourceType": "Uitvoer van machinaal leren gebruiken in segmentatie" }