SECKANSAI㯠é¢è¥¿ã®ã»ãã¥ãªãã£ã³ãã¥ããã£ãå¿æ´ã ã³ãã¥ããã£æ´»åãæ´»çºåããããã¨ã§ é¢è¥¿ã²ãã¦ã¯æ¥æ¬ã®ã»ãã¥ãªãã£äººæè²æã« è²¢ç®ãããã¨ãç®çã¨ãã¦ãã¾ãã
ã¤ãã³ããåå¼·ä¼ã¨ãåºãã¨ã40代ã50代ã60代ã®äººãçºè¡¨ãããã¨ãããã¾ãããæåãµã¼ãã¹ãä½ã£ãè¥ãã¨ã³ã¸ãã¢ã¨ãã ã£ãããçºè¡¨å 容ããã¬ã³ãã ã£ããããã¨ãããã話ãèããããªããã©ããããã¦æåã§ããªãããããããã®ãä½ã£ããã¨ããªãã俺ã¿ããã«ç¡é§ã«å¹´ãéãã人ã®ãã¬ã³ãããã¯ããããã¡ãã¡ãªããµã³ã®ç»å£å 容ã£ã¦ã¯ã½ããã§ãããèªæã®å¿µãè¾¼ãã¦æ¸ãã æåã®èªå·±ç´¹ä»30ç§ä»¥ä¸ã«ãããï¼ ãã¾ããã¡ãã¾ã©ã¿ããã«è¥ãã¦ãã¬ã¤ã§ãããã女åã ã£ããä½æéã§ãè´ããããã©ããã¡ãªãªããµã³ã®ã¤ã¾ããªãèªå·±ç´¹ä»ã¯5ç§ä»¥ä¸ãèããããªããç¡é§ã«é·ããã¨çãã¦ãã人ã®é·ãèªå·±ç´¹ä»ã£ã¦ã¤ã¾ããªããã89å¹´ã«å¤§æSIã®åä¼ç¤¾ã«å ¥ç¤¾ãã¨ãèããããªããããããã¡ãªãªããµã³ã¯ãidã¨å¥½ããªAWSãµã¼ãã¹ãã ãã§ããããé·ããã¨çãã¦ãããããããè¨ããããã¨ãããã ãããã©ããããªããç¡åç¡è½åãª4
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? ãå··ã§åã®ã¢ãããã°ã©ãã³ã°ã£ã¦ã©ããªãã ããï¼ãã¨èå³ãéã¾ã£ãã¡ã³ãã¼ã§éã¾ã£ã¦ãå®éã«ã¢ãããããã¦ã¿ã¾ãããåèã¾ã§ã«ç°¡åã«ã¾ã¨ãã¦ããã¾ãã ã¢ãããã°ã©ãã³ã°ã¨ã¯ ã¢ãããã°ã©ãã³ã°ã¯ã2012å¹´é ã«Hunter Industies社ã§åãçµã¿ãå§ã¾ãã¾ãããããã§å¾ãç¥è¦ãWoody Zuillããéãã«ã³ãã¡ã¬ã³ã¹çã§ç´¹ä»ãããã¨ã§åºã¾ã£ã¦ããã¾ããã Mob Programming â A Whole Team Approach by Woody Zuill 以ä¸ã®åç»ãè¦ãã¨ãå®éã«ã¢ãããã°ã©ãã³ã°ããã¦ããæ§åã
æ¦è¦ ãããã¤ã³ã¿ã¼ãããããã§éå¬ãããã¨ã³ã¸ãã¢ã®ããã®ãã¬ã¼ã³æè¡ç 究ä¼ã«ã¦ã ãã¨ã³ã¸ãã¢çµç¹ã®ã¹ã±ã¼ã«ã«ä¼´ã社å åå¼·ã®Try&Errorãã¨ããçºè¡¨ããã¾ããã ã¹ã©ã¤ã ãã£ããå 容 æ¹åãµã¤ã¯ã«ãã²ãããåããã¨ãã話ã«ãªãã¾ãã 10人ã®æ代 形骸åãããã¼ãã£ã³ã°ãä¹ã£åã£ãã 社å¤ã§ã¯ãã¾ã話ãããªããããã¯ã®LTããã¼ã¹ã ã¢ããªã³ï¼ç¸è«LTï¼ã¯ã¼ã«ãã«ã㧠â ã¯ã¼ã¯ã·ã§ãã â ããããä¼ ã¨æ¨ç§»ã 200人ã®æ代 æ¬æ ¼çãªã¤ãã³ãéå¶ã®åãä½ã£ã¦éå¶ããã ããããLTï¼ã«ã³ãã¡ã¬ã³ã¹åå å ±åãèªä½ãã¼ã«ç´¹ä»ãéè·LTï¼ããã¼ã¹ã åãã¼ã ã®æ å½æ¥åãç´¹ä»ãããããã¼ããè¨ããããè¬æ¼å½¢å¼ããã£ã¦ã¿ããã 500+人ã®æ代 ããã ã¢ããã®åå¥åå¼·ä¼ãããããã¦ã³ã®ã²ã¹ãè¬æ¼ããããã¯ãã¨ã®åç§ä¼ã ãã®è¦æ¨¡ã«ãªãã¨ããã©ãããåã®çµç¹ãæç§æ¸éãã«éå¶ãããã¨ã
ãªã«ãTECHé Presents ã¨ã³ã¸ãã¢ã«ããã¨ã³ã¸ãã¢ã«ããã®ã»ããã¼ï¼ ãã½ããã㯠å®è£ ããªãããæå³ãç¡ã!!ãDeepLearningã å®è£ ã¹ãã·ã£ã«ä¼ç»ããâãªã«ãTECHéç¥ãâ 浪éTECHéãæã£ãã¨ã³ã¸ãã¢ãéã¾ã å¯ããå¹ãé£ã°ãï¼ Deep Learningã¯ãã¯ããGPUä¸ã ãã§åãããã®ã§ã¯ãªãã FPGAãDSPãçµè¾¼ã¿CPUã®é©æé©æãåãã CEVA社DSP XM-4ã§ãã¥ã¼ã©ã«ããããåããããã®å®åãä¸çåå ¬é ä»åã¯æå 端ã®Deep Learingã®æ å ±ãéãã¾ããã ããªãã«å¿ è¦ãª ãDeep Learningå®è£ ã ãè¦ã¤ãã¦ãã ããï¼ï¼ â12:00 ãå ¥å ´éå§ â12:30ï½12:40 ãéä¼æ¨æ¶ ãã¬ã¼ã³ã¿ã¼ â12:40ï½13:30 ä½è¤ãä¸æ²ã樣ã(Google Inc. ãããããã¼ã¢ããã±ã¤ã) TensorFlowã§ãããã
æ°æ©è½ connpass APIã«æ°ããæ©è½ã追å ãã¾ããããã¤ãã³ãä¸è¦§APIãã«é½éåºçã§ã®çµãè¾¼ã¿æ©è½ã追å ãã¾ãããã¾ããã¤ãã³ãä¸è¦§APIãããã³ãåå ã¤ãã³ãAPIãã§ç»åURLãã¬ã¹ãã³ã¹ã§è¿å´ããã«æ¡å ãã¾ããã詳細ãªä»æ§ãå©ç¨æ¹æ³ã¯ãAPIãªãã¡ã¬ã³ã¹ãã確èªãã ãããAPIå©ç¨ãå¸æãããæ¹ã¯ãconnpassã®APIå©ç¨ã«ã¤ãã¦ãã覧ãã ããã
ãã®ã¨ã³ããªã¼ã¯ãITåå¼·ä¼/ã³ãã¥ããã£éå¶ Advent Calendar 2016ã®2æ¥ç®ã®ã¨ã³ããªã¼ã§ãã æ¨æ¥(1æ¥ç®)ã¯ã snowoy ããã®ITåå¼·ä¼/ã³ãã¥ããã£éå¶ Advent Calendar 2016 (Adventarç) 1æ¥ç® - 13æ¥ã®éææ¥ä»æ» çã¾ãã®ããã°ã§ããã åä¾ã¨ããããèããä¼ã«ã¤ã㦠ITåå¼·ä¼ã¨ããæ¬ãã«ãç§ããã¾éå¶ãã¦ãããåä¾ã¨ããããèããä¼ããå ¥ãã®ãã¨ãããã¨ãã¾ãèããªãã¨ãããªãã ãã©ãéå»ã®åå¼·ä¼ä¸è¦§ãçºãã¦ããã¶ã大ä¸å¤«ã ã¨æã£ãã®ã§åä¾ã¨ããããèããä¼ã«ã¤ãã¦ãã®ã¨ã³ããªã¯æ¸ããã¨ã«ããã éå»ã®åå¼·ä¼ä¸è¦§ã¯ãã¡â4 åå¼·ä¼ã»ã»ããã¼ - åä¾ã¨ããããèããä¼ ãé¡ã«ãããã¼ãã¨ãååããã ããè¬å¸«ã®ä¼æ¥åãç«å ´ã表ã«ã¾ã¨ããã¨ãããªæãã åæ° åå¼·ä¼ãã¼ã è¬å¸« 1 ã½ã¼ã·ã£ã«ã²ã¼ã ã°ãªã¼ãã¬ã³ãã¼ 2
ã第3åã¾ã§ã®doorkeeperãï¼https://kansaidbstudy.doorkeeper.jp/ é¢è¥¿ã§éå¬ããDBåå¼·ä¼ãè²ã ãªã³ãã¥ããã£ååã§åå¼·ä¼ãéå¬ãã¾ãã åå ã³ãã¥ããã£(é ä¸å) Japan Mariadb user group(https://www.facebook.com/Japan-Mariadb-user-group-632381840290220) æ¥æ¬MySQLã¦ã¼ã¶ä¼(http://mysql.gr.jp/) æ¥æ¬PostgreSQLã¦ã¼ã¶ä¼é¢è¥¿æ¯é¨(https://www.postgresql.jp/) Firebirdæ¥æ¬ã¦ã¼ã¶ã¼ä¼(http://tech.firebird.gr.jp/firebird/index.php?firebird_xsite=0) Japan RAD Studio User Group(Delphi/C++Bu
LXCï¼OpenVZï¼FreeBSD Jail ãªã©ã®ã³ã³ããæè¡ã¨ Docker ãªã©ã®ã³ã³ããå¿ç¨æè¡ããããã¯ãã«é¢ä¿ãã話é¡ãæ±ãåå¼·ä¼ã§ãï¼æè¡æ¸å ¸ãã¤ã³ãã¬ã¹ã®ãæè¡ã®æ³ã·ãªã¼ãºãããã³ã³ããæè¡ã«é¢ããæ¬ãåºãã¦ãã¾ãã @ten_forward ã lxc-jp ã§ã®æ´»åãå ã«ç«ã¡ä¸ãããã®ã§ãã æè¡æ¸å ¸ã®lxc-jpãµã¼ã¯ã«ãã¼ã¸ Linux Container Bookï¼ã¤ã³ãã¬ã¹ï¼ lxc-jp ã® Google Group lxc-jp github ãªãã¸ã㪠connpass ã®åå¼·ä¼ãã¼ã¸ ãã³ã³ããåä»®æ³åã®æ å ±äº¤æä¼ãã¯ã³ã³ããæè¡ã«é¢é£ãã話é¡ãæ±ãã¾ãï¼ ã³ã³ããã«é¢é£ããã«ã¼ãã«ã®å®è£ ã«ã¤ã㦠å種ãã¼ã«ãããã®ç´¹ä»ï¼å®è£ ã«ã¤ã㦠ã³ã³ããæè¡ã使ã£ããã¼ã«ãã½ããã¦ã§ã¢ã®ç´¹ä»ãå®è£ ã«ã¤ã㦠ã³ã³ããæè¡ã®æ´»ç¨ã»éç¨äºä¾ ãã®ä»ãã³ã³ãããã¨ããã
ï¼ç¤¾å åå¼·ä¼ã¯ãçµç¹ã®ãã¼ãºã«ãã£ã¦ãå種ã®ä½¿ãåããå¿ è¦ã§ãï¼ ç¤¾å¡ãåå ããåå¼·ä¼ã¯ã©ã®ããã«é²ããã¹ããªã®ããã¯ã©ã¤ã¢ã³ãä¼æ¥ã®ãªã¼ãã¼çµå¶è ããããå°ãããã質åã§ãã製é æ¥ãªã©ã®ä¼æ¥ã§ã¯ãçµå¶è ãæ¢ã«ï¼±ï¼£ãªã©ã®ç¥èãæã£ã¦ãã¦ããããã¤ã¡ã¼ã¸ããã±ã¼ã¹ãããã¾ãã 大æä¼æ¥ãå¤è³ç³»ä¼æ¥ã§ã®å¤åçµé¨ããã社é·ã¯ãç¹å®ã®èª²é¡ã®è§£æ±ºããã¼ãã¨ããããã¸ã§ã¯ããé£æ³ãããã¨ãããã¾ãããã®å ´åã®ããã¸ã§ã¯ãã¯ãã·ã¹ãã ã®éçºã¨å°å ¥ãISOåå¾ãªã©ã®ãçµç¹å ¨ä½ã«é¢ãããããªå¤§ããªãã¼ãã¨ãªã£ã¦ãããã¨ãå¤ãããã«æãã¾ãã å¼ç¤¾ã§ã¯ãåµæ¥ã®åæã®æ®µéã§ãé·æã«æ¸¡ããã¬ãã«ã¢ããããå³ã£ã¦ãæè©°ã¾ãæã®ããå°è¦æ¨¡çµç¹ã®çµå¶ãå¤ãã¦æ¬²ããã¨ã®ãä¾é ¼ãé æ´ãã¦ãä¾ãã°ããã¡ã·ãªãã¼ã·ã§ã³ãã¢ã¯ã·ã§ã³ã»ã©ã¼ãã³ã°ã®ãããªéå£ãç¸æã«ããåæ©ä»ããè²æã®ææ³ãç¥ããã¦ããªãé ããã社å åå¼·ä¼ã®é
ããã«ã¡ã¯ãtakuloã§ãã ã¤ããã¼ã¿ã¼ã»ã¸ã£ãã³ã§éå¬ãã社å åå¼·ä¼ã«ã¯ãå¿ããåãã¦ããåéã縫ã£ã¦ãã¿ããªãåå ãã¦ããã¾ãããããªã«éã¾ã£ã¦ãããã¨ã¯â¦â¦ã¨å¬ãããªãã¨åæã«ã大äºãªæéãå²ãã¦ããããã ãããã¿ããªã®å½¹ã«ç«ã¤ãã¨ãä¼ããããã¨èãã¦ãã¾ãã 主å¬è ç®ç·ã¨åå è ç®ç·ã両æ¹ããèããçµæã社å åå¼·ä¼ãããä¸ã§éè¦ãªã®ã¯ã³ã¬ãããªããï¼ãã¨ãããããäºã¤ã«ã¾ã¨ãã¦ã¿ã¾ããã ããã©ãããå段ã¯ãããªã åããããã¨ã話ã è¦ãã¦ãããé ç®ãçµã ããã«ä½¿ãããã¨ãå ¥ãã äºä¾ã交ãã ããã©ãããå段ã¯ãããªã ã°ã£ã¡ãäºåæºåããã¦ãã¦ããã¤ãã¤ããå¿ããã£ããã§ããã¿ãã¿ã¾ã¨ãã¾ããããªã©ã¨ä½è¨ãªãã¨ãè¨ã£ã¦ãã¾ããã¡ã§ãããééã£ã¦ããã¨ãããããããããã¾ãããããªãã¦ã®ãã常å¥å¥ã§ããããã§ããã¯ã©ã¤ã¢ã³ãã®åã§è¡ããã¬ã¼ã³ãªãããããªãã¨è¨ããªãã¯ãã社
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}