How Voice Interfaces Are Colonizing Our Lives, By The Numbers
Mary Meeker digs up data on how we really use voice control. Hint: Your mom is involved. If there’s one dominant technological paradigm we’ll remember about 2016, it’s voice. From chatbots to Amazon Echo to conversational interfaces, our voices–and how we use them–are quickly becoming the primary way we interact with computers. Often lacking from this picture, though, is data. Because many tech co
シン・未æ¥ä¼šè° -スクラムを支ãˆã‚‹çµ„ç¹”ã¥ãã‚Š- #RSGT2017
2017å¹´1月12日（木）Regional Scrum Gathering Tokyo2017ã«ã¦ã€‚
アジャイルメトリクス実践ガイド
9. （例）DevOpsã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ 9 開発・CI QA デプãƒã‚¤ リリース é‹ç”¨ 開発㮠リード・タイムéžç¨¼åƒæ™‚é–“ デプãƒã‚¤ã® ãƒªãƒ¼ãƒ‰ãƒ»ã‚¿ã‚¤ãƒ ãƒªãƒªãƒ¼ã‚¹é »åº¦ MTTR æ¬ é™¥ãƒ»ãƒ“ãƒ«ãƒ‰å¤±æ•—ãƒ»ã‚·ã‚¹ テムダウン㫠伴ã†å†ä½œæ¥ 検出・見逃ã—ãŸæ¬ 陥㮠割åˆã€ãŠã‚ˆã³ æ¬ é™¥ã®å½±éŸ¿åº¦åˆã„ デプãƒã‚¤é »åº¦ã¨ ã‹ã‹ã‚‹æ™‚é–“ リリース毎㮠時間ã¨ã‚³ã‚¹ãƒˆã®å‰²åˆ システムダウン時㮠コストã¨é »åº¦ã®å‰²åˆ éžç¨¼åƒæ™‚é–“ MTTD (検知ã«ã‹ã‹ã‚‹æ™‚é–“) （システム）変更㮠æˆåŠŸçŽ‡ （リリースæˆåŠŸã®ï¼‰ 予測å¯èƒ½æ€§ å–¶æ¥æ™‚間後㮠緊急呼ã³å‡ºã—ã®é »åº¦ 進行ä¸ã®ä½œæ¥ã¨ æŠ€è¡“è² å‚µ MTTR 性能ã¨åˆ©ç”¨æ™‚é–“ã® å‰²åˆ ã‚µã‚¤ã‚¯ãƒ«ãƒ»ã‚¿ã‚¤ãƒ Wallgren Anders, Measuring DevOps: the Key Metrics that Matter, Agile2016 10. （例）DevOpsã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ 10 開発・CI
appgiga.jp
2024 著作権. ä¸è¨±è¤‡è£½ プライãƒã‚·ãƒ¼ãƒãƒªã‚·ãƒ¼
Premier night3 devopsã“ã¨ã¯ã—ã‚™ã‚
11. デフォルトã§ç”¨æ„ã•ã‚Œã‚‹ãƒ‰ã‚ュメント – SSMAgentアップデート – EC2Configアップデート – コマンド実行(shell/powershell) – Dockerアクション(èµ·å‹•/åœæ¢/ps/ãªã©ãªã©) – ADå‚åŠ â€“ Windowsアップデート – msiã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« – ç‰ãªã©ã€è‡ªåˆ†ã§å®šç¾©ã‚‚ã§ãã‚‹
Scikit-Learn Cheat Sheet: Python Machine Learning
This post originally appeared on the DataCamp blog. Big thanks to Karlijn and all the fine folks at DataCamp for letting us share with the Yhat audience! And be sure to check out DataCamp's other cheat sheets, as well. Scikit-Learn library Most of you who are learning data science with Python will have definitely heard already about scikit-learn, the open source Python library that implements a wi
é‡ç”£åž‹ãƒ—ãƒã‚°ãƒ©ãƒžã‚’撲滅ã—ãŸã„
プãƒã‚°ãƒ©ãƒžã®ç”Ÿç”£æ€§ã®å·®ã¯ã€å‡ºæ¥ã‚‹äººã¨å‡ºæ¥ãªã„人ã§10å€ã¨ã‚‚100å€ã¨ã‚‚言ã‚れる。ãã‚“ãªé¦¬é¹¿ãªã€ã¨æ€ã‚れるã‹ã‚‚ã—ã‚Œãªã„ãŒã€äº‹å®Ÿã 。 ã‚€ã—ã‚ã€ä¸€ç·’ã«åƒã‹ã›ã‚‹ã¨ã€å‡ºæ¥ã‚‹ãƒ—ãƒã‚°ãƒ©ãƒžãŒã€ä¸‹æ‰‹ã«ä½œã‚‰ã‚ŒãŸãƒ—ãƒã‚°ãƒ©ãƒ ã®ä¿®æ£ã‚’ã—ãªã‘ã‚Œã°ã„ã‘ãªãã¦ã€å…¨ä½“ã®ç”Ÿç”£æ€§ã‚’è½ã¨ã™ã“ã¨ã«ãªã‚‹ã€‚ ã¤ã¾ã‚Šã€å‡ºæ¥ãªã„プãƒã‚°ãƒ©ãƒžã¯ãƒãƒ¼ãƒ ã§åƒãã¨ã€ç”Ÿç”£æ€§ã‚’マイナスã«ã™ã‚‹ã®ã 。厳ã—ã„ã“ã¨ã‚’言ãˆã°ã€ã„ãªã„æ–¹ãŒãƒžã‚·ãªã®ã§ã‚る。 ソフトウェア開発ã«çŒ«ã®æ‰‹ã¯ã„らãªã„ã®ã 。 ã§ã¯ã€å‡ºæ¥ãªã„プãƒã‚°ãƒ©ãƒžã¨ã¯ã©ã‚“ãªäººãŸã¡ã‹ã€‚ コピペã§æ›¸ãプãƒã‚°ãƒ©ãƒžã 。他ã§å‹•ã„ã¦ã„るプãƒã‚°ãƒ©ãƒ をコピペã—ã¦ã€ãªã‚“ã¨ãªãç›´ã—ã¦æ›¸ã„ã¦ã„るプãƒã‚°ãƒ©ãƒžã 。 ãªãœãƒ—ãƒã‚°ãƒ©ãƒ ãŒå‹•ãã®ã‹ã€ã©ã†æ›¸ã‘ã°å‹•ãã®ã‹ã€ã‚ã‹ã£ã¦ã„ãªã„。 ãŸã 沢山ã®ãƒ—ãƒã‚°ãƒ©ãƒ を書ãã ã‘ã®é‡ç”£åž‹ãƒ—ãƒã‚°ãƒ©ãƒžã 。ã“ã†ã„ã†äººã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã¯ã€ãƒ‡ãƒãƒƒã‚°ã•ã›ã¦ã¿ã¦ã€æ¨ªã§è¦‹ã¦ã‚‹ã¨ã™ãã«ã‚ã‹ã‚‹ã€‚ ã¾ãšã€ã‚¨ãƒ©ãƒ¼ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ã‚’見ãª
「んã€ã®ä¼šè©±ã®ã‚¹ã‚¹ãƒ¡ - Milkã®ãƒ¡ãƒ¢å¸³
「ã›ã‚„ãªã€ã®ä¼šè©± 「んã€ã®ä¼šè©± 実例 「んã€ã®ä¼šè©±ãŒã§ãる人 「んã€ã®ä¼šè©±ã®é…力 親ã—ã•ã®ç¢ºèª éŠã³å¿ƒ 言外ã®æ„味 ã‚ãªãŸã‚‚ã—ã¦ã¿ã¾ã›ã‚“ã‹ï¼Ÿ ã“ã‚“ã«ã¡ã¯ã€‚Renaã§ã™ã€‚ 大阪ã®æ–¹ã¯ã€Œã›ã‚„ãªã€ã ã‘ã§ä¼šè©±ãŒæˆã‚Šç«‹ã¤ã¨è€³ã«ã—ã¾ã—ãŸã€‚ 「ã›ã‚„ãªã€ã®ä¼šè©± A「ã›ã‚„ã‚ã‹ï¼Ÿã€ B「ã›ã‚„ã‚〠A「ã›ã‚„ãªã€ B「ã›ã‚„ã›ã‚„〠ã¨ã„ã£ãŸå…·åˆã§ã™ã€‚ ã“ã‚Œã¯å¤§é˜ªäººåŒå£«ã ã‹ã‚‰å‡ºæ¥ã‚‹ä¼šè©±ã¨è¨€ãˆã‚‹ã§ã—ょã†ã€‚ 仲間内ã ã‘ã§é€šã˜åˆã†ä¼šè©±â€¦ç´ 敵ã§ã™ãï¼ ã€Œã‚“ã€ã®ä¼šè©± ç§ã¯å¤§é˜ªå‡ºèº«ã§ã¯ã‚ã‚Šã¾ã›ã‚“ã®ã§ä¸Šã®ä¼šè©±ã¯ã§ãã¾ã›ã‚“。 ã—ã‹ã—代ã‚ã‚Šã«ã€Œã‚“ã€ã®ä¼šè©±ãŒã§ãã¾ã™ã€‚ ã“ã‚“ãªå…·åˆã§ã™ã€‚ 実例 ã‚“ãƒ¼ï¼ ï¼ˆç–²ã‚ŒãŸãƒ¼ï¼ï¼‰ ん？ （ã©ã—ãŸï¼Ÿï¼‰ んーん （ãªã‚“ã§ã‚‚ãªã„よ） んー （ãã£ã‹ï¼‰ ã‚“ï¼ ï¼ˆãã†ãã†ï¼ï¼‰ 「んã€ã®ä¼šè©±ãŒã§ãる人 ã“ã®ä¼šè©±ãŒã§ãã‚‹ã®ã¯ç§ã®èº«ã®å›žã‚Šã§ã‚‚ã”ãã”ãé™ã‚‰ã‚ŒãŸäººã ã‘ã§ã™ã€‚ 家æ—ã¨ã‹ã€å‹äººã€æ°—心知れãŸäººã ã‘。 ç§ã®æ€§æ ¼ã‚„
信用ã§ãる社内 Wiki ã‚’ã¤ãã‚‹ãŸã‚ã«å®ˆã£ã¦ã»ã—ã„ã€ãŸã£ãŸã²ã¨ã¤ã®ãƒ«ãƒ¼ãƒ« - ç„¡å°å‰æ¾¤
ã“ã®ãƒšãƒ¼ã‚¸ã«ã¤ã„㦠ã“ã®è¨˜äº‹ã¯ã€ä»¥å‰æ›¸ã„ãŸã€Œç¤¾å†…Wikiã«æƒ…å ±ã‚’æ›¸ãã¨ãã«å®ˆã£ã¦ã»ã—ã„ã€ãŸã£ãŸã²ã¨ã¤ã®ãƒ«ãƒ¼ãƒ«ã€ã®ç¶šç·¨ã§ã™ã€‚å‰å›žã¯ã€å€‹ã€…ã®ãƒšãƒ¼ã‚¸ã‚’ã©ã†æ›¸ãã¹ãã‹ã¨ã„ã†è©±ã‚’ã—ã¾ã—ãŸãŒã€ä»Šå›žã¯ç¤¾å†… Wiki 全体を信用ã§ãã‚‹ã‚‚ã®ã«ã™ã‚‹æ–¹æ³•ã«ã¤ã„ã¦è€ƒãˆã¾ã™ã€‚ muziyoshiz.hatenablog.com 想定ã™ã‚‹ç’°å¢ƒ ã“ã®è¨˜äº‹ã¯ã€ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢é–‹ç™ºãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã«é–¢ã™ã‚‹ Wiki ãŒç¤¾å†…ã«ã‚ã£ã¦ã€ãã“ã«å„人ãŒãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆï¼ˆä»•æ§˜æ›¸ã‚„æ‰‹é †æ›¸ãªã©ï¼‰ã‚’書ã‘るよã†ã«ãªã£ã¦ã„る環境を想定ã—ã¦ã„ã¾ã™ã€‚ ç§è‡ªèº«ã€ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢é–‹ç™ºã®ã¨ãã—ã‹ Wiki を使ã‚ãªã„ã®ã§ã€å…·ä½“例もãã®ã‚ˆã†ãªç’°å¢ƒã«å¯„ã£ã¦ã„ã¾ã™ã€‚ãŸã ã€ã‚る程度ã¯ç¤¾å†… Wiki 全般ã«é€šã˜ã‚‹è©±ã‹ã¨æ€ã„ã¾ã™ã€‚ ルール：「更新ã•ã‚Œç¶šã‘ã‚‹ã€ãƒšãƒ¼ã‚¸ã¨ã€Œæ›´æ–°ã•ã‚Œãªã„ã€ãƒšãƒ¼ã‚¸ã‚’ã¯ã£ãり分ã‘ã‚‹ ã“ã“1å¹´ã»ã©ç¤¾å†…プãƒã‚¸ã‚§ã‚¯ãƒˆã‚’ã„ãã¤ã‹æ¸¡ã‚Šæ©ã„ã¦ã„ãŸã®ã§ã™ãŒã€å€‹äººçš„ã«ã¯ã€ã“
Crafting a high-performance TV user interface using React
by Ian McKay The Netflix TV interface is constantly evolving as we strive to figure out the best experience for our members. For example, after A/B testing, eye-tracking research, and customer feedback we recently rolled out video previews to help members make better decisions about what to watch. We’ve written before about how our TV application consists of an SDK installed natively on the device
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
Best Alexa Enabled Gadgets You Must Get for Your Home
The Voice
GitHub - alibaba/rax: 🰠Rax is a progressive framework for building universal application. https://rax.js.org
GitHub - mseminatore/alexa-tesla: Alexa Skills Kit (ASK) project - Tesla monitoring and control for Amazon Echo devices
Alexa, Are You Keeping My Information Private?
{{#tags}}- {{label}}
{{/tags}}