[{"data":1,"prerenderedAt":205},["ShallowReactive",2],{"project-9955553":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":5,"maker":10,"posted_at":11,"year":12,"points":13,"comments":14,"rank_in_year":15,"shown_in_year":16,"top":17,"tier":18,"category":19,"subcategory":20,"format":21,"keywords":22,"reception":27,"sentiment":28,"stance_mix":29,"scored_comments":33,"aspects":34,"strip":41,"post_text":43,"what":44,"said":81,"maker_in_thread":130,"shape":142,"grid":145,"attempts":169,"same_week":170,"maker_shows":36,"maker_hidden":198,"reader_version":199,"card":200},"9955553","r2d3.us","Intro to Machine Learning in Interactive D3.js Visualizations","title","Show HN: Intro to Machine Learning in Interactive D3.js Visualizations","http:\u002F\u002Fwww.r2d3.us\u002Fvisual-intro-to-machine-learning-part-1\u002F","tonyhschu",1438009349,2015,128,12,174,2565,7,"notable","learning_science","interactive machine learning tutorial","web_app",[23,24,25,26],"machine learning","d3.js","interactive visualization","decision tree","loved",0.49,{"positive":30,"neutral":31,"mixed":32,"critical":32},6,2,0,8,{"design":35,"idea":37,"docs":39,"execution":40},{"positive":36,"critical":32},1,{"positive":38,"critical":32},3,{"positive":36,"critical":32},{"positive":36,"critical":32},[42,32,42,32,42,42,42,32,38,32,42,38],5,null,{"problem":45,"audience":57,"pricing":43,"motivation":43,"time_to_build":43,"stack":61,"openness":78,"stage":79,"team_size":80},{"value":46,"source":47,"evidence":48},"Explaining machine learning concepts to non-experts","commenter",[49,53],{"id":50,"by":51,"text":52},"9955912","brandonb","That's an incredibly good visualization! Both beautiful and clear. Next time I'm explaining machine learning to somebody who's smart but not a computer scientist or statistician,…",{"id":54,"by":55,"text":56},"9972011","chrisgd","Really cool. As someone who didn't fully understand what people mean by machine learning, this is great.",{"value":58,"source":47,"evidence":59},"Smart people who are not computer scientists or statisticians",[60],{"id":50,"by":51,"text":52},[62,68,74],{"value":63,"source":64,"evidence":65},"D3.js","maker",[66],{"id":67},"post",{"value":69,"source":64,"evidence":70},"Python",[71],{"id":72,"by":10,"text":73},"9958028","The decision tree model was generated from http:\u002F\u002Fscikit-learn.org in Python. The JS is a complete mess, but I'll try to write up how it works in the next couple days.",{"value":75,"source":64,"evidence":76},"scikit-learn",[77],{"id":72,"by":10,"text":73},"unknown","launched","team",{"praise":82,"objections":87,"requests":88,"questions":118,"alternatives":125},[83],{"value":84,"source":47,"evidence":85},"Helpful introduction to machine learning for newcomers",[86],{"id":54,"by":55,"text":56},[],[89,93,100,111],{"value":90,"source":47,"evidence":91},"Tutorial on deep learning and neural networks",[92],{"id":50,"by":51,"text":52},{"value":94,"source":47,"evidence":95},"Visualizations of more advanced ML methods",[96],{"id":97,"by":98,"text":99},"9955863","therobot24","really nice visual, it'd be cool to see similar illustrations for areas of ML that do more than just separate classes based on a set of features, rather work with your data in…",{"value":101,"source":47,"evidence":102},"Source code for the JavaScript",[103,107],{"id":104,"by":105,"text":106},"9957994","leekh","Do you have a gh repo? I really am interested in the story telling and ML aspects of the post.",{"id":108,"by":109,"text":110},"9959512","imh","I'd love to see the JS too. Great viz!",{"value":112,"source":47,"evidence":113},"RSS feed",[114],{"id":115,"by":116,"text":117},"9985178","rpglover64","Any chance of an RSS feed?",[119],{"value":120,"source":47,"evidence":121},"Where is the source code",[122],{"id":123,"by":105,"text":124},"9957233","This is great, I can't find the source though.",[126],{"value":127,"source":47,"evidence":128},"Karpathy's ConvNetJS",[129],{"id":50,"by":51,"text":52},{"comments":131,"answered":31,"key":132},4,[133,136,139],{"id":134,"text":135},"9957333","Thanks Brandon! We're certainly thinking about it. We'll work out way up there.",{"id":137,"text":138},"9955983","Thanks! Yeah absolutely. We are working our way up to those. Our tentative plan is to tackle bias-variance trade-off next, then random forests, then neural networks.",{"id":140,"text":141},"9957302","OP here. What kinds of sources are you looking for? We built this based on some of the lectures in Stanford's statistical learning class…",{"commenters":17,"max_depth":42,"maker_replies":131,"first_comment_mins":143,"lifespan_hours":144},47,105,[146,148,150,152,154,156,157,159,161,163,165,167],[50,32,42,147,51,32],"project\u002Fpositive\u002Fdesign",[134,32,32,149,10,36],"maker\u002Fpositive\u002Fidea",[97,36,42,151,98,32],"project\u002Fpositive\u002Fidea",[137,36,32,153,10,36],"maker\u002Fneutral\u002Fidea",[155,36,42,149,98,32],"9956058",[54,31,42,151,55,32],[123,38,42,158,105,32],"project\u002Fpositive\u002Fdocs",[140,38,32,160,10,36],"maker\u002Fneutral\u002Fdocs",[104,38,38,162,105,32],"project\u002Fneutral\u002Fdocs",[72,38,32,164,10,36],"project\u002Fneutral\u002Fexecution",[108,38,42,166,109,32],"project\u002Fpositive\u002Fexecution",[115,131,38,168,116,32],"project\u002Fneutral\u002Fnone",[],[171,175,180,185,189,194],{"id":172,"name":173,"points":174,"category":19},"9962185","Spot the Drowning Child",1215,{"id":176,"name":177,"points":178,"category":179},"9944746","Showgoers",281,"consumer_social",{"id":181,"name":182,"points":183,"category":184},"9956415","Meshtag",270,"dev_tools",{"id":186,"name":187,"points":188,"category":19},"9963714","Flexbox.io",236,{"id":190,"name":191,"points":192,"category":193},"9969171","File.io",155,"infrastructure",{"id":195,"name":196,"points":197,"category":19},"9969345","parametricity.com",149,false,"v2",{"id":201,"name":5,"line":6,"ai":198,"cat":19,"year":12,"points":13,"comments":14,"rec":27,"s":28,"top":17,"kw":202,"maker":10,"domain":5,"tier":18,"attempts":32,"strip":203,"url":9,"mix":204,"praise":84,"objection":-1,"sub":20},9955553,[23,24,25,26],"505055503053",[30,31,32,32],1794036533744]