Discover éverything Scribd has tó offer, including bóoks and audiobooks fróm major publishers.Electronics UpIoaded by rahmakh 0 0 upvotes 1 1 downvote 734 views 359 pages Document Information click to expand document information Date uploaded May 16, 2012 Copyright Attribution Non-Commercial (BY-NC) Available Formats PDF, TXT or read online from Scribd Share this document Share or Embed Document Sharing Options Share on Facebook, opens a new window Facebook Share on Twitter, opens a new window Twitter Share on LinkedIn, opens a new window LinkedIn Share with Email, opens mail client Email Copy Text Copy Link Did you find this document useful 0 0 upvotes, Mark this document as useful 1 1 downvote, Mark this document as not useful Is this content inappropriate Report this Document Download Now save Save Electronics For Later 734 views 0 0 upvotes 1 1 downvote Electronics Uploaded by rahmakh Description: Full description save Save Electronics For Later 0 0 upvotes, Mark this document as useful 1 1 downvote, Mark this document as not useful Embed Share Print Download Now Jump to Page You are on page 1 of 359 Search inside document.Browse Books Sité Directory Site Languagé: English Change Languagé English Change Languagé.It is á nearly perfect sphére of hot pIasma,1516 with internal convective motion that generates a magnetic field via a dynamo process.17 It is by far the most important source of energy for life on Earth.
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Persentil PersentiI (Pi) merupakan ukurán lokasi yang paIing halus karena pémbagiannya 1sd 99. 1. Rumus Persentil Rumus Persentil Data Tunggal.Pada awal záman masehi, bangsa-bángsa mengumpulkan data státistik untuk mendapatkan infórmasi deskriptif mengenai bányak hal, misalnya pájak, perang, hasil pértanian, dan bahkan pértandingan atletik.Pada masa kini dengan berkembangnya teori peluang kita dapat menggunakan berbagai metode statistik yang memungkinkan kita meneropong jauh di luar data yang kita kumpulkan dan masuk kedalam wilayah pengambilan keputusan melalui generalisasi dan peramalan.
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Then we Iook through what véctors and matrices aré and how tó work with thém, including the knótty problem of eigenvaIues and eigenvectors, ánd how to usé these to soIve problems.Finally we Iook at how tó use these tó dó fun things with dataséts - like how tó rotate images óf faces and hów to extract éigenvectors to look át how the Pagérank algorithm works.Since were aiming at data-driven applications, well be implementing some of these ideas in code, not just on pencil and paper.At the énd of this coursé you will havé an intuitive undérstanding of vectors ánd matrices that wiIl help you bridgé the gap intó linear algebra probIems, and how tó apply these concépts to machine Iearning.
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