{"action":"created","issue":{"url":"https://api.github.com/repos/pydelhi/talks/issues/114","repository_url":"https://api.github.com/repos/pydelhi/talks","labels_url":"https://api.github.com/repos/pydelhi/talks/issues/114/labels{/name}","comments_url":"https://api.github.com/repos/pydelhi/talks/issues/114/comments","events_url":"https://api.github.com/repos/pydelhi/talks/issues/114/events","html_url":"https://github.com/pydelhi/talks/issues/114","id":343590127,"node_id":"MDU6SXNzdWUzNDM1OTAxMjc=","number":114,"title":"Proposal: 'Ensemble Learning: introduction, methods and applications'","user":{"login":"anjalibhavan","id":29330188,"node_id":"MDQ6VXNlcjI5MzMwMTg4","avatar_url":"https://avatars0.githubusercontent.com/u/29330188?v=4","gravatar_id":"","url":"https://api.github.com/users/anjalibhavan","html_url":"https://github.com/anjalibhavan","followers_url":"https://api.github.com/users/anjalibhavan/followers","following_url":"https://api.github.com/users/anjalibhavan/following{/other_user}","gists_url":"https://api.github.com/users/anjalibhavan/gists{/gist_id}","starred_url":"https://api.github.com/users/anjalibhavan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/anjalibhavan/subscriptions","organizations_url":"https://api.github.com/users/anjalibhavan/orgs","repos_url":"https://api.github.com/users/anjalibhavan/repos","events_url":"https://api.github.com/users/anjalibhavan/events{/privacy}","received_events_url":"https://api.github.com/users/anjalibhavan/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-07-23T11:15:55Z","updated_at":"2018-09-24T07:57:50Z","closed_at":null,"author_association":"NONE","body":"This talk covers ensemble learning, a paradigm of machine learning. Ensemble learning consists of combining multiple learning models for predictions, and is a popular method for predictions and analysis. I will go through the various kinds of ensemble methods and applications in various real-world problems, and also share tips and resources for building and deploying good ensembles.\r\nI will discuss the limitations of current machine learning models and why ensemble learning is the future of data science. I will dive forth into the various types of ensembles, their applications, how to get started with building your own multiple classifier systems etc in great detail. I will also share resources, applications, tips etc. for the same.\r\n\r\nAdditional Link: Here is the link to learn more in-depth about ensembles and what I'll be discussing in my talk. https://docs.google.com/document/d/1LH50XN5qXVKfr7bY65H3yUkVjtr4dOa8huCIka7-GL0/edit?usp=sharing\r\n\r\nTime required for the talk: 20-25 minutes\r\n\r\nLevel: Intermediate\r\n\r\nAbout Me: I am a third year engineering undergrad at Delhi Technological University (DTU). I have done several projects in the field of Machine Learning, and authored a research paper as well, on the task of human activity recognition from accelerometer data. I am currently working on speaker-independent speech emotion recognition, and other projects. I am passionate about math, artificial intelligence and literature, and believe that there is much potential to be harnessed still in Machine Learning.\r\n\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/pydelhi/talks/issues/comments/423899642","html_url":"https://github.com/pydelhi/talks/issues/114#issuecomment-423899642","issue_url":"https://api.github.com/repos/pydelhi/talks/issues/114","id":423899642,"node_id":"MDEyOklzc3VlQ29tbWVudDQyMzg5OTY0Mg==","user":{"login":"aaqaishtyaq","id":22131756,"node_id":"MDQ6VXNlcjIyMTMxNzU2","avatar_url":"https://avatars2.githubusercontent.com/u/22131756?v=4","gravatar_id":"","url":"https://api.github.com/users/aaqaishtyaq","html_url":"https://github.com/aaqaishtyaq","followers_url":"https://api.github.com/users/aaqaishtyaq/followers","following_url":"https://api.github.com/users/aaqaishtyaq/following{/other_user}","gists_url":"https://api.github.com/users/aaqaishtyaq/gists{/gist_id}","starred_url":"https://api.github.com/users/aaqaishtyaq/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/aaqaishtyaq/subscriptions","organizations_url":"https://api.github.com/users/aaqaishtyaq/orgs","repos_url":"https://api.github.com/users/aaqaishtyaq/repos","events_url":"https://api.github.com/users/aaqaishtyaq/events{/privacy}","received_events_url":"https://api.github.com/users/aaqaishtyaq/received_events","type":"User","site_admin":false},"created_at":"2018-09-24T07:57:50Z","updated_at":"2018-09-24T07:57:50Z","author_association":"MEMBER","body":"Okay "}}
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