{"id":64,"date":"2007-02-27T10:16:25","date_gmt":"2007-02-27T02:16:25","guid":{"rendered":"http:\/\/yuhana.wordpress.com\/2007\/02\/27\/data-mining-machine-learning-pertemuan-pertama\/"},"modified":"2007-02-27T10:16:25","modified_gmt":"2007-02-27T02:16:25","slug":"data-mining-machine-learning-pertemuan-pertama","status":"publish","type":"post","link":"https:\/\/notes.its.ac.id\/yuhana\/2007\/02\/27\/data-mining-machine-learning-pertemuan-pertama\/","title":{"rendered":"Data Mining &amp; Machine Learning pertemuan pertama"},"content":{"rendered":"<p>26 Feb 2007 adalah kuliah pertama data mining dan machine learning. Pada pertemuan pertama ini dijelaskan mengenai aturan perkuliahan, penilaian, buku yang digunakan dan juga hal-hal yang tercakup dalam kuliah ini. <!--more--><br \/>\nSemua informasi dalam perkuliahan dapat diakses di <a href=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/courses\/dm2007\/\">http:\/\/www.csie.ntu.edu.tw\/~cjlin\/courses\/dm2007\/ <\/a>Buku yang digunakan dalam kuliah ini adalah <a href=\"http:\/\/www.cs.waikato.ac.nz\/~ml\/weka\/book.html\">Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (2nd edition)<\/a> by Ian H. Witten and Eibe Frank, 2005, sementara materi kuliah dapat di download di website <a href=\"http:\/\/books.elsevier.com\/us\/\/mk\/us\/subindex.asp?maintarget=companions\/defaultindividual.asp&amp;isbn=0120884070&amp;country=United+States&amp;srccode=&amp;ref=&amp;subcode=&amp;head=&amp;pdf=&amp;basiccode=&amp;txtSearch=&amp;SearchField=&amp;operator=&amp;order=&amp;community=mk\">publisher<\/a><\/p>\n<p>Mata kuliah ini menggunakan environment R untuk mengolah data.<\/p>\n<p>Setiap minggu ada tugas, kuliah pertama sudah ada tugas yaitu :<\/p>\n<ol>\n<li> Install R<\/li>\n<li>Baca &#8220;An Introduction of R&#8221; yang bisa download dari <a href=\"http:\/\/www.r-project.org\/\">www.r-project.org<\/a> kemudian memahami perbedaan macam-macam obyek (eg. vector, factor, list, data, frame, dll)<\/li>\n<li>Menemukan salah satu package yang dapat digunakan untuk membangu decision tree dapat di download dari CRAN Mirror<\/li>\n<li>Memisahkan data iris secara random, 3\/4 untuk training data dan 1\/4 untuk testing<\/li>\n<li>Menggunakan package untuk training dan testing data serta menulis laporan dalam bahasa inggris sebanyak maksimal 2 halaman<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>26 Feb 2007 adalah kuliah pertama data mining dan machine learning. Pada pertemuan pertama ini dijelaskan mengenai aturan perkuliahan, penilaian, buku yang digunakan dan juga hal-hal yang tercakup dalam kuliah ini.<\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62],"tags":[],"class_list":["post-64","post","type-post","status-publish","format-standard","hentry","category-course"],"_links":{"self":[{"href":"https:\/\/notes.its.ac.id\/yuhana\/wp-json\/wp\/v2\/posts\/64","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/notes.its.ac.id\/yuhana\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/notes.its.ac.id\/yuhana\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/notes.its.ac.id\/yuhana\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/notes.its.ac.id\/yuhana\/wp-json\/wp\/v2\/comments?post=64"}],"version-history":[{"count":0,"href":"https:\/\/notes.its.ac.id\/yuhana\/wp-json\/wp\/v2\/posts\/64\/revisions"}],"wp:attachment":[{"href":"https:\/\/notes.its.ac.id\/yuhana\/wp-json\/wp\/v2\/media?parent=64"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/notes.its.ac.id\/yuhana\/wp-json\/wp\/v2\/categories?post=64"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/notes.its.ac.id\/yuhana\/wp-json\/wp\/v2\/tags?post=64"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}