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* Content Update 31 May * Fix errors * Content update 5 June * Content till 7 June * Approved Content till 9 June * Fix duplicate author pages * Tags update * tfjs tags update * Content update 14 Jun * Added profile bios * Content update 20 June * Update tf-core tag * Content update 28 June * Tags and Bio update * Content update 5 Jul * Update Google-Maps to Maps * Update tags * Update tags * Content update 12 Jul * Removed spam submission * Content update 21 Jul * Content update 9 Aug * Update running-flutter-on-apple-vision-pro-5ccbe96fdd55.json * Content update 16 Aug * Update erfansn.json * Revert article by nocommandline * Content update 16 Aug * Delete nocommandline.json * Delete NoCommandLine-dev_appserver-python3-windows.json * Content update 24 Aug * Fix incorrect tags * Content update Sep 11 * Update doggy8088-PaLM.json * Content update 27 Sep * Content update 6 Oct * Update how-to-use-generative-ai-in-dialogflow-cx-console-861a22ed4ec4.json * Content update 10 Oct * Bio updates * Content update 16 Oct * Profile and tags fix * Content update 19 Oct * Profile updates * Content update 25 Oct * Update product.ts * Update incorrect tags * Update taking-advantage-of-tensorboard-part-i.json --------- Co-authored-by: Garima Mehra <[email protected]>
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{ | ||
"lastPullTime": 1697707329384 | ||
"lastPullTime": 1698208362185 | ||
} |
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{ | ||
"name": "Arthur KAZA", | ||
"bio": "Senior Machine Learning Engineer | Google Developer Group Kinshasa Co-Organizer | AI Product Strategy Lead Engineer | Business Intelligence | AI Architect", | ||
"photoURL": "https://avatars.githubusercontent.com/ArthurStarks", | ||
"githubURL": "https://github.com/ArthurStarks" | ||
} |
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{ | ||
"name": "Clinton Aikhu", | ||
"bio": "Artificial Intelligence & Virtual Reality & Cybersecurity @nortln", | ||
"photoURL": "https://avatars.githubusercontent.com/nortln", | ||
"githubURL": "https://github.com/nortln" | ||
} |
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...dataplex-data-catalog-tagging-operations-and-business-metadata-part-3-2-d0fc27699632.json
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{ | ||
"expertise": "INTERMEDIATE", | ||
"version": 1, | ||
"source": "medium", | ||
"authorIds": [ | ||
"nishitkamdar" | ||
], | ||
"author": "Nishit Kamdar", | ||
"title": "Data Catalog | Tagging Operations and Business Metadata", | ||
"link": "https://medium.com/@nishitkamdar/dataplex-data-catalog-tagging-operations-and-business-metadata-part-3-2-d0fc27699632", | ||
"tags": [ | ||
"data-analytics" | ||
], | ||
"description": "Dataplex — Data Catalog | Tagging Operations and Business Metadata| Part — 3.2" | ||
} |
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...-accelerating-machine-learning-with-tensorflow-js-using-pretrained-models-and-docker.json
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{ | ||
"expertise": "INTERMEDIATE", | ||
"version": 1, | ||
"source": "other", | ||
"authorIds": ["harshmanvar"], | ||
"author": "Harsh Manvar", | ||
"title": "Accelerating Machine Learning with TensorFlow.js: Using Pretrained Models and Docker", | ||
"link": "https://www.docker.com/blog/accelerating-machine-learning-with-tensorflow-js-using-pretrained-models-and-docker/", | ||
"tags": [ | ||
"tfjs", | ||
"tf-core", | ||
"pose" | ||
], | ||
"description": "Accelerating Machine Learning with TensorFlow.js: Using Pretrained Models and Docker" | ||
} |
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config/ml/blogs/blog-developing-using-rasa-and-docker.json
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{ | ||
"expertise": "INTERMEDIATE", | ||
"version": 1, | ||
"source": "other", | ||
"authorIds": ["harshmanvar"], | ||
"author": "Harsh Manvar", | ||
"title": "Conversational AI Made Easy: Developing an ML FAQ Model Demo from Scratch Using Rasa and Docker", | ||
"link": "https://www.docker.com/blog/developing-using-rasa-and-docker/", | ||
"tags": [ | ||
"other-google-ml-products" | ||
], | ||
"description": "Conversational AI Made Easy: Developing an ML FAQ Model Demo from Scratch Using Rasa and Docker" | ||
} |
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config/ml/blogs/no-code-machine-learning-simple-ml-for-sheet.json
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{ | ||
"expertise": "BEGINNER", | ||
"version": 1, | ||
"source": "other", | ||
"authorIds": ["arthurstarks"], | ||
"author": "Arthur Kaza", | ||
"title": "Simple ML is a powerful and free add-on that lets you easily analyze", | ||
"link": "https://arthurkaza.hashnode.dev/no-code-machine-learning-simple-ml-for-sheet", | ||
"tags": [ | ||
"other-google-ml-products" | ||
], | ||
"description": "Simple ML is a powerful and free add-on that lets you easily analyze your data in Google Sheets and make predictions without needing any experience with machine learning. With just a few clicks, Simple ML can be installed and used for a variety of projects, from predicting missing values." | ||
} |
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config/ml/blogs/taking-advantage-of-tensorboard-part-i.json
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{ | ||
"expertise": "BEGINNER", | ||
"version": 1, | ||
"source": "other", | ||
"authorIds": ["arthurstarks"], | ||
"author": "Arthur Kaza", | ||
"title": "TensorBoard is an open-source service launched by Google packaged TF", | ||
"link": "https://arthurkaza.hashnode.dev/taking-advantage-of-tensorboard-part-i?source=more_series_bottom_blogs", | ||
"tags": [ | ||
"tfx", | ||
"pose" | ||
], | ||
"description": "TensorBoard is a powerful open-source tool developed by Google as part of the TensorFlow project. It allows machine learning engineers and researchers to understand, debug, and optimize machine learning models simply by providing visual insight into the training, visualization and performance" | ||
} |
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{ | ||
"expertise": "INTERMEDIATE", | ||
"version": 1, | ||
"source": "github", | ||
"authorIds": [ | ||
"nortln" | ||
], | ||
"owner": "nortln", | ||
"repo": "Brain_MRI_Classification", | ||
"name": "Brain MRI Classification", | ||
"shortDescription": "A brain mri classification projects. Takes a brain mri scan as input and classifies the tumor disease associated with the scan.", | ||
"longDescription": "A brain mri classification projects. Takes a brain mri scan as input and classifies the tumor disease associated with the scan.", | ||
"content": "README.md", | ||
"pages": [], | ||
"tags": [ | ||
"tf-core", | ||
"pose" | ||
] | ||
} |
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