[{"data":1,"prerenderedAt":217},["ShallowReactive",2],{"project-2515612":3},{"id":4,"name":5,"line":5,"line_source":6,"title":7,"url":8,"domain":9,"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":28,"sentiment":29,"stance_mix":30,"scored_comments":35,"aspects":36,"strip":40,"post_text":41,"what":42,"said":69,"maker_in_thread":136,"shape":147,"grid":151,"attempts":178,"same_week":179,"maker_shows":33,"maker_hidden":209,"reader_version":210,"card":211},"2515612","Machine learning cheat sheet","title","Show HN: Machine learning cheat sheet","http:\u002F\u002Feferm.com\u002Fmachine-learning-cheat-sheet","eferm.com","Emore",1304550361,2011,166,13,44,1097,5,"notable","learning_science","machine learning reference","other",[23,24,25,26,27],"machine learning","algorithms","supervised learning","unsupervised learning","cheat sheet","mixed",0.333,{"positive":31,"neutral":32,"mixed":33,"critical":34},3,2,1,0,6,{"idea":37,"docs":38,"design":39},{"positive":34,"critical":34},{"positive":33,"critical":34},{"positive":33,"critical":34},[34,34,34,34,31,34,31,34,31,34,17,17,17],null,{"problem":43,"audience":53,"pricing":41,"motivation":41,"time_to_build":41,"stack":65,"openness":66,"stage":67,"team_size":68},{"value":44,"source":45,"evidence":46},"Quick reference for machine learning algorithms","inferred",[47,49],{"id":48},"post",{"id":50,"by":51,"text":52},"2515741","MatthewB","No idea what i'm looking at but it definitely looks cool.",{"value":54,"source":55,"evidence":56},"Students and learners of machine learning","commenter",[57,61],{"id":58,"by":59,"text":60},"2517244","ses","Fantastic work, I have an ML exam coming up and this should really help. If I'm honest its one of the subjects I've struggled with the most. It seems experts in the field while…",{"id":62,"by":63,"text":64},"2515990","axxl","I'm taking this class next semester, downloaded it so hopefully I'll understand it later and it will come in use. Thanks!",[],"open_source","launched","unknown",{"praise":70,"objections":84,"requests":100,"questions":109,"alternatives":114},[71,80],{"value":72,"source":55,"evidence":73},"Useful summary and format for learning ML",[74,78,79],{"id":75,"by":76,"text":77},"2515748","cloudkj","Nice summary; I like the format as well. However, the title of the cheat sheet is misleading since (a) many of the algorithms listed can be used for non-linear classification and…",{"id":58,"by":59,"text":60},{"id":62,"by":63,"text":64},{"value":81,"source":55,"evidence":82},"Looks cool",[83],{"id":50,"by":51,"text":52},[85,89],{"value":86,"source":55,"evidence":87},"Title was misleading since many algorithms are non-linear or supervised",[88],{"id":75,"by":76,"text":77},{"value":90,"source":55,"evidence":91},"Missing algorithms and online learning column is incomplete",[92,96],{"id":93,"by":94,"text":95},"2516122","iskander","All the algorithms requiring training can be optimized using stochastic gradient descent-- which is very effective for large data sets (see…",{"id":97,"by":98,"text":99},"2516545","imurray","KNN \"no learning involved\": one probaby wants to cross-validate K at the least, if not learn the metric. Some methods say online learning isn't applicable. As pointed out…",[101,105],{"value":102,"source":55,"evidence":103},"Add random forests and decision tree ensembles",[104],{"id":93,"by":94,"text":95},{"value":106,"source":55,"evidence":107},"Make available in web form",[108],{"id":75,"by":76,"text":77},[110],{"value":111,"source":55,"evidence":112},"Why are random forests missing",[113],{"id":93,"by":94,"text":95},[115,122,129],{"value":116,"source":55,"evidence":117},"Stanford online machine learning course",[118],{"id":119,"by":120,"text":121},"2515975","teuobk","In case you see the cheat sheet and think, \"Wow, I'd love to understand that,\" there's an excellent (albeit challenging) complete course on machine learning in Stanford's…",{"value":123,"source":55,"evidence":124},"Programming Collective Intelligence book",[125],{"id":126,"by":127,"text":128},"2516075","natfriedman","Another option is \"Programming Collective Intelligence,\" by Toby Segaran. I read through it recently on a long flight to Australia. It's one of the most straight-forward AI books…",{"value":130,"source":55,"evidence":131},"Elements of Statistical Learning",[132],{"id":133,"by":134,"text":135},"2516163","klochner","I haven't read the COIN book, but if you want to get aggressive you can go for \"Elements of Statistical Learning\". Free pdf download, probably not a one-flight book:…",{"comments":31,"answered":33,"key":137},[138,141,144],{"id":139,"text":140},"2516772","Thanks for the comments! The course unfortunately couldn't cover all material on all algorithms, so the cheat sheet basically reflects my own knowledge rather than what's…",{"id":142,"text":143},"2516771","Thanks for the comments! Good point about using cross-validation to learn K, I forgot about that. I added this to the cheat sheet. Also regarding online learning methods, I was…",{"id":145,"text":146},"2515800","Thanks for the feedback! I've changed the title to \"Algorithms for Supervised- and Unsupervised Learning\", which is definitely more appropriate. Initially the cheat sheet only…",{"commenters":148,"max_depth":31,"maker_replies":31,"first_comment_mins":149,"lifespan_hours":150},11,75,16,[152,154,155,157,161,163,165,166,168,170,171,174,176],[119,34,34,153,120,34],"other\u002Fneutral\u002Fnone",[126,34,34,153,127,34],[133,34,34,156,134,34],"commenter\u002Fneutral\u002Fnone",[158,34,34,159,160,34],"2517681","other\u002Fmixed\u002Fnone","silentbicycle",[93,33,31,162,94,34],"project\u002Fneutral\u002Fidea",[139,33,34,164,10,33],"maker\u002Fpositive\u002Fidea",[97,32,31,162,98,34],[142,32,34,167,10,33],"maker\u002Fpositive\u002Fdocs",[75,31,31,169,76,34],"project\u002Fmixed\u002Fdocs",[145,31,34,167,10,33],[58,172,17,173,59,34],4,"project\u002Fpositive\u002Fdocs",[50,17,17,175,51,34],"project\u002Fpositive\u002Fdesign",[62,35,17,177,63,34],"project\u002Fpositive\u002Fnone",[],[180,185,190,195,199,204],{"id":181,"name":182,"points":183,"category":184},"2502173","Minimal Lisp in ~70 lines of Haskell",76,"languages",{"id":186,"name":187,"points":188,"category":189},"2495859","Timeslot",71,"productivity",{"id":191,"name":192,"points":193,"category":194},"2506627","Ambur",51,"web_saas",{"id":196,"name":197,"points":198,"category":189},"2503193","YC Interview Demo",50,{"id":200,"name":201,"points":202,"category":203},"2501495","BrowserCrawler",43,"infrastructure",{"id":205,"name":206,"points":207,"category":208},"2502150","my Hackathon Project",42,"consumer_social",false,"v2",{"id":212,"name":5,"line":5,"ai":209,"cat":19,"year":12,"points":13,"comments":14,"rec":28,"s":213,"top":17,"kw":214,"maker":10,"domain":9,"tier":18,"attempts":34,"strip":215,"url":8,"mix":216,"praise":72,"objection":86,"sub":20},2515612,0.33,[23,24,25,26,27],"0000303030555",[31,32,33,34],1793990872654]