{"action":"created","issue":{"url":"https://api.github.com/repos/pydatadelhi/talks/issues/67","repository_url":"https://api.github.com/repos/pydatadelhi/talks","labels_url":"https://api.github.com/repos/pydatadelhi/talks/issues/67/labels{/name}","comments_url":"https://api.github.com/repos/pydatadelhi/talks/issues/67/comments","events_url":"https://api.github.com/repos/pydatadelhi/talks/issues/67/events","html_url":"https://github.com/pydatadelhi/talks/issues/67","id":308736930,"node_id":"MDU6SXNzdWUzMDg3MzY5MzA=","number":67,"title":"[Proposal]: Recommendation Engine using 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Abstract (2-3 lines)\r\nThis talk will cover the necessary mathematics and coding to implement recommendation engine from scratch. All Question related to Tensorflow what? why? and  How? \r\n\r\n- Brief Description and Contents to be covered\r\n         - The talk will cover content-based recommendations and Collaborative Recommendations using tensor flow\r\n          - What is Tensorflow?\r\n          - Why Tensorflow?\r\n          - how to build a recommendation engine?\r\n          - How to scale AI using Tensorflow?\r\n          - Is it Threat to or out of the box  (Tensorflow)\r\n\r\n- Pre-requisites for the talk: Basic mathematics and coding\r\n\r\n- The time required for the talk: 30-45mins\r\n\r\n- Link to slides\r\n\r\n- Will you be doing a hands-on demo as well?  \r\n     Probably yes\r\n\r\n- Link to ipython notebook (if any)\r\n\r\n- About  yourself\r\n\r\n- Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ?\r\nYes\r\n\r\n- Any query ? \r\n  "},"comment":{"url":"https://api.github.com/repos/pydatadelhi/talks/issues/comments/403268637","html_url":"https://github.com/pydatadelhi/talks/issues/67#issuecomment-403268637","issue_url":"https://api.github.com/repos/pydatadelhi/talks/issues/67","id":403268637,"node_id":"MDEyOklzc3VlQ29tbWVudDQwMzI2ODYzNw==","user":{"login":"MSanKeys963","id":20305658,"node_id":"MDQ6VXNlcjIwMzA1NjU4","avatar_url":"https://avatars0.githubusercontent.com/u/20305658?v=4","gravatar_id":"","url":"https://api.github.com/users/MSanKeys963","html_url":"https://github.com/MSanKeys963","followers_url":"https://api.github.com/users/MSanKeys963/followers","following_url":"https://api.github.com/users/MSanKeys963/following{/other_user}","gists_url":"https://api.github.com/users/MSanKeys963/gists{/gist_id}","starred_url":"https://api.github.com/users/MSanKeys963/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MSanKeys963/subscriptions","organizations_url":"https://api.github.com/users/MSanKeys963/orgs","repos_url":"https://api.github.com/users/MSanKeys963/repos","events_url":"https://api.github.com/users/MSanKeys963/events{/privacy}","received_events_url":"https://api.github.com/users/MSanKeys963/received_events","type":"User","site_admin":false},"created_at":"2018-07-08T07:28:47Z","updated_at":"2018-07-08T07:28:47Z","author_association":"NONE","body":"@evalsocket can you update on this?\r\nThis has been open for a long time and not been delivered by you.\r\nIf you can't deliver this for any reason, just tell us. I'll close the issue."}}
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