作者查詢 / InfinitySA
作者 InfinitySA 在 PTT [ Soft_Job ] 看板的留言(推文), 共203則
限定看板:Soft_Job
看板排序:
全部Gossiping16725PokeMon5814NSwitch3987DIABLO3630ToS2860PlayStation2787XBOX1908Minecraft1491NDS1360Road_Running1174RealPlaying904MH880Keelung815GTA779PC_Shopping699BioHazard695AnimalForest597WindowsPhone459MaiKuraki440iOS339Steam278biker229Soft_Job203SMSlife167Tech_Job159VideoCard143MobileComm99Gintama52C_Chat51sex49MAC35Sangokumusou35Starbucks34SWORD33Gamesale30Stock29Examination22Emergency21Gov_owned20Hate19Psychiatry17Employee14Hamster14FLAT_CLUB12KS97-31612MenTalk12NTU12Salary11Tainan11feminine_sex10HatePolitics10home-sale9media-chaos9CVS8GameDesign8GossipPicket8joke8KingdomHuang8sky8CSMU-MSSW947CSU7kochikame7TaichungCont7TigerBlue7FJU6hardware6KERORO6LTK6MdnCNhistory6SENIORHIGH6Storage_Zone6wearefriends6YCSH_alumni6CPU_PA7515DummyHistory5L_TalkandCha5Ladies_Digi5LIU-CHEN5Nintendo5specialman5Teacher5TY_Research5AC_In4Du-Du4E-appliance4FishShrimp4FJU-BA93B4HK-movie4KLSH4KOTDFansClub4KS92-3024KS98-3024Memory4NDHU-phy974NDHU-phy984Neihu4NTPU-IIM984NTUot974Physics4piano4rent-exp4swim4WomenTalk4WuLing50-3024Atheism3AVEncode3BigPeitou3Broad_Band3Buddhism3Bus3CareerPlan3ChungLi3cksh85th3193dance3dlsh-7th-3033Drink3Ecophilia3Emulator3fastfood3Geography3hair_loss3HCSHch13_3113KHCHS-93-3053KS93-3063Lottery3MCU_Talk3Miaoli3NCYU_DVM_983NDHU-MSE-SB3NDSH_6th3143NIU-ECE94b3NTHU-EE-CAPT3NTHU_IEEM-943NTNU-HisSB3NTUEtalk3NTUHASSE3NTUST-TX-B923Oceanography3paranormal3PCSH91_3053Pocket3soul3SouthPark3tabletennis3Taoyuan3TTU-talk3USC3Violation3YZU_EE96A3About_Life2AfterPhD2Anchors2ASIA-uni2bearbabes2Beauty2Cga2ChangHua2ChiLing2ChineseMed2Christianity2CHSH_98_3012CJCU2ck54th3322CNU2Conan2CPSHS2CrossStrait2CSonline2CTSH923012Disabled2DSLR2ForeignEX2fukuyamania2gallantry2HatePicket2HCHS_ALUMNI2HCSH2HLHS_10thU2Japandrama2kindness2KOU2L_SecretGard2MartialArts2medstudent2MoveHouse2movie2MP3-player2Nantou2NCCU2NCCU_C-Baske2NDSH2NTOU_TALK2NTUBIME-1022NTUCH-962NTUHKMSA2NTUOCBio2NTUST-ECE2Nutn-MIT982NUTN_EE1012NYUST2Paradox2Pet_Get2PU_Family2PublicIssue2SOB_TEST2StraightMH2STU2SurvivalGame2T-ara2TCHCVS2TFSHS64th3182TheSims2TKU_EE_92C2transgender2twin2Vancouver2WarCraft2Warfare2YPU2ADS1AdvEduUK1AOE1army_53-2T1army_54-2T1army_59-1T1BigShiLin1book1Boy-Girl1Browsers1Bunco1Bz1Catholic1CCRomance1CCU_EE961CFantasy1China-Drama1CHU-GO1civil981ck58th3241cksh80th3071cksh80th3171cksh84th3031ClashRoyale1clmusic1CoC1ComeHere1CosmosPeople1CrossGate1CSMU-MT971CSMU-Talk1csmumountain1CTSH97EXP1DragonNest1Education1EuropeTravel1FengYuan1FestivalPark1FJU-Laws941FJU-Stat98A1Folklore1foreigner1forsale1GameKing1GatoShoji1Google1GreenParty1HCHS593051HCHS603121HCU1Headphone1Hiking1HKMCantonese1Hokuto1HsinTien1HSNU_10081HSNU_11041HSNU_11141HSNU_11151Hualien1hwhEE_592B1IC-Card1ID_Multi1Instant_Food1Japan_Travel1japanavgirls1Jeremy_Lin1Kaohsiung1KG93-3061KMT1kodomo1Koei1Korea1KS95-3021KS96-2021KS96-3181KUAS_FIN1LCD1Lineage1Lucky1Marxism1MeatFamily1money1Mudran1MusicStudent1NARUTO1NBAEasyChat1NCCU05_GIDS1NCCU08_Ethno1NCCU_JAPAN_G1NCHU-FINGRA71NCHU-FS981NCHU-Stat971NCTU_HARCLUB1NCUT1NCYU_AQUA_981NewYork1NFU1NKFUST1NTOU_HRE961NTOU_STM1NTPUyouthCOM1NTU_stamp1NTUE-CUL1011NTUEOE_R306A1NTUMiaoli1NUK-APIBM1001Nurse1NUU_ME1NUU_Talk1NYUST97_MBA1ONE_PIECE1P_Management1PerfectWorld1Perfume_desu1PttHistory1PushDoll1rabbit1Reptile1RSSH971SAN1SanFrancisco1Shu-Lin1ShuangHe1Sijhih1Simcity1single1SmashBros1STDM-91-3041Suckcomic1SuperBike1TaichungBun1TAKESHI1teeth_salon1Test1TFSHS62th3161TFSHS67th3051TFSHS68th3161Thailand1THU_BA20001TKU_IHM1TNFSH98th1ToS_Match1TryingTimes1TTU-I91A1Urban_Plan1Wargaming1Weyslii1X-files1Zhongzheng1<< 收起看板(369)
7F推: 推12/29 08:49
24F推: 以資工來說 離散用最多吧 演算法的推演也都是離散12/28 09:19
25F→: 其它就要看各領域用到甚麼了12/28 09:20
36F推: paper幾乎都要吧? 需要證明就會用到數學12/29 09:38
6F→: 碩博班 學中做(可以接計畫)還是比較好12/27 09:43
7F→: 另外很多企業所謂的big data 頂多資料庫就處理完了吧12/27 09:43
8F→: 根本不到那個層級 XD12/27 09:44
9F推: btw 還蠻多國科會計畫就是用到巨量資料分析的12/27 09:46
12F推: facebook和google是能夠做這方面並且賺錢的最佳實例12/27 09:40
13F→: 但是一般來說沒辦法這樣搞 囧 如同上述隱私權...12/27 09:40
10F推: 資料源甚麼格式都有吧 Q.Q12/26 16:25
6F推: 一樓說的是 現在我也剛入行資料庫應用系統相關的工作12/26 13:15
7F→: 前輩也是說到 最麻煩的事情就是整理 轉換資料...12/26 13:16
9F→: big data領域的話 那更是...囧12/26 13:17
5F推: 半年連基本的資料庫 資料處理都學不好吧 XD12/26 11:46
6F→: 現在甚麼都想冠上"big data"12/26 11:47
18F→: 那些只是概念而已 而且以前就有提出來了12/26 11:48
19F→: 只是現在的資訊科技普及化到有能力處理12/26 11:48
20F→: 另外說只是騙錢倒不全然 因為是真的有企業在做 而且12/26 11:49
21F→: 用它們賺了大錢12/26 11:49
23F→: 騙錢的應該要說是甚麼都隨便冠上"大數據"的才是12/26 11:50
7F推: 學習上會用linux 是因為開源而且架構很好理解09/23 07:38
8F→: 例如學OS就很適合用linux實作 而工作常用應該是因為09/23 07:39
9F→: 嵌入式系統以及客製化需求 你可以把linux改成你想要09/23 07:40
10F→: 的樣子 當然 兩者都有共同重要的 免錢 不用嗎 XD09/23 07:40
34F推: 自學Obj-C中 +1 不過精通obj-c這本書似乎沒很強調UI09/20 09:17
35F→: 不知道是不是要再學swift比較多這方面的技巧?09/20 09:18