chezouã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ / 2014å¹´12æœˆ16æ—¥ - ã¯ã¦ãªãƒ

Ingressã‚¬ãƒå‹¢ã¸ã®é“

ã“ã®ã‚¨ãƒ³ãƒˆãƒªã¯Ingress Advent Calendar 2014ã®16æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚æ˜¨æ—¥ã¯id:chezouã•ã‚“ã«ã‚ˆã‚‹ã€Œ#ingress ã§ãƒ•ãƒ«ã‚¿ã‚¤ãƒ ã®ãƒ—ãƒã‚¨ãƒ¼ã‚¸ã‚§ãƒ³ãƒˆã¨å‡ºä¼šã£ãŸè©±ã€ã§ã—ãŸã€‚ é•·ã„ã€é•·ã„ãƒãƒŠã‚·ã‚’ã—ã‚ˆã†ã¨æ€ã†ã€‚ ä»¥å‰æ›¸ã„ãŸã€ŒIngressã«ãƒ‰ãƒãƒžã‚Šã—ã¦3é€±é–“ã§ãƒ¬ãƒ™ãƒ«8ã«ãªã‚‹ã¾ã§ã€ã®æ¯”ã§ã¯ãªã„ã€‚ã„ã£ãŸã„ã„ãã‚‰APã‚’ç¨¼ã’ã°ã„ã„ã¨ã„ã†ã®ã‹ã€ãã—ã¦ä½•å††ãƒªã‚¢ãƒ«èª²é‡‘ã™ã‚Œã°ã„ã„ã®ã‹ã€‚ãã‚Œãã‚‰ã„ãƒ¬ãƒ™ãƒ«8ã‹ã‚‰ã®é“ã®ã‚Šã¯é•·ãã€é™ºã—ãã€ãã—ã¦æ¥½ã—ã„ã‚‚ã®ã ã£ãŸã€‚ ã“ã®ã‚¨ãƒ³ãƒˆãƒªã¯ã‚¬ãƒå‹¢ã«ãªã‚‹ãŸã‚ã®Tipsãªã©ã§ã¯ãªã„ã€‚1äººã®ã‚¨ãƒ¼ã‚¸ã‚§ãƒ³ãƒˆãŒA8ã‹ã‚‰A11ã«ãªã‚Šã€Darsanaã‚’çµ‚ãˆã‚‹ã¾ã§ã®è¶³è·¡ã‚’æ®‹ã—ã¦ã¿ãŸã„ã€‚ ç›®æ¬¡ ãƒ¬ãƒ™ãƒ«8ã«ãªã£ã¦1é€±é–“ã€çž‘æƒ³ã«ãµã‘ã£ãŸ æœ¬å½“ã®ã‚¹ã‚¿ãƒ¼ãƒˆã¯ãƒ¬ãƒ™ãƒ«8ã‹ã‚‰ æµ·å¤–ã‚’å¾€ããƒ¬ãƒ™ãƒ«9ã‚¨ãƒ¼ã‚¸ã‚§ãƒ³ãƒˆ ãƒ¬ãƒ™ãƒ«10ã€å®Ÿå®¶ã«å¸°ã£ã¦ã‚‚ãƒ‘ãƒˆãƒãƒ¼ãƒ«ãŒå¿™ã—ã„ ãƒ¬ãƒ™ãƒ«11ã€Darsanaã‚’æ„è˜ã—

chezou 2014/12/16

Too Long Many Paidã ã£ãŸ

ãƒªãƒ³ã‚¯

Rã¨Juliaã§ãŒã‚“ã°ã‚‹ãžã„ - xfujimonã®ãƒ–ãƒã‚°

chezou 2014/12/16

julia

ãƒªãƒ³ã‚¯

ã€Œèªã‚€ã€ã¨ã„ã£ãŸã‚‰ä¸€å—ä¸€å¥â”€â”€ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒ»å…‰æˆ æ»‹ç”Ÿï¼ˆ2ï¼‰ | ã‚µã‚¤ãƒœã‚¦ã‚ºå¼

ãƒžãƒã‚¸ãƒ¡ãƒ³ãƒˆ æ–°ã—ã„ãƒãƒ¼ãƒ ã®ã‚ã‚Šæ–¹ã‚’æŽ¢æ±‚ å°±æ´» å°±æ´»ç”Ÿå¿…è¦‹ï¼ã‚µã‚¤ãƒœã‚¦ã‚ºã®ç–‘å• ãƒ†ã‚£ãƒ¼ãƒ«çµ„ç¹” ä¼šç¤¾ã®ã€Œã‚ãŸã‚Šã¾ãˆã€ãŒå¤‰ã‚ã‚‹ å¤šæ§˜æ€§ 100äºº100é€šã‚Šã®å€‹æ€§ ãƒ¯ãƒ¼ã‚¯ã‚¹ã‚¿ã‚¤ãƒ« åƒãæ–¹ã€ç”Ÿãæ–¹ã€ã‚‚ã£ã¨è‡ªç”±ã« é’é‡Žæ…¶ä¹… ã‚µã‚¤ãƒœã‚¦ã‚ºç¤¾é•·ã®æƒ³ã„ã¨è¦šæ‚Ÿ ã‚ãƒ£ãƒªã‚¢ äººç”Ÿã®ã€Œç©ã¿ä¸Šã’æ–¹ã€ã‚’è¦‹ç›´ã™ è¤‡æ¥ è¤‡æ•°ã®ã€Œæœ¬æ¥ã€ã‚’ã‚‚ã¤åƒãæ–¹ äººäº‹åˆ¶åº¦ å¤šæ§˜ãªåƒãæ–¹ã‚’æ”¯ãˆã‚‹ä»•çµ„ã¿ ãƒžãƒ³ã‚¬ ã‚µã‚¯ãƒƒã¨æ‰‹è»½ã«èªã‚ã‚‹ï¼

chezou 2014/12/16

ã“ã‚Œã€å·¥å¦ç³»ã§ã‚‚æ±‚ã‚ã‚‰ã‚ŒãŸãª...

ãƒªãƒ³ã‚¯

Lessons Learned from ï¿½Building Machine Learning Software at Netflix

Lessons Learned from ï¿½Building Machine Learning Software at Netflix Talk from Software Engineering for Machine Learning Workshop (SW4ML) at the Neural Information Processing Systems (NIPS) 2014 conference in Montreal, Canada on 2014-12-13. Abstract: Building a real system that incorporates machine learning as a part can be a difficult effort, both in terms of the algorithmic and engineering challe

chezou 2014/12/16

ãƒªãƒ³ã‚¯

Jupyter Notebook Viewer

for Data ScienceÂ¶@BenSadeghi [Twitter, GitHub, Linkedin] Based on presentations by John Myles White[1][2][3], Stefan Karpinski and others ContentsÂ¶ Background Why use Julia? Language Basics Types Linear Algebra Functions, Multiple Dispatch Programming Styles Package Manager Statistics in Julia Tabular Data Data Visualization Machine Learning Algorithms Unsupervised Supervised Resources BackgroundÂ¶

chezou 2014/12/16

k-meansã®å¯è¦–åŒ–ãŒè‰¯ã„

julia

ãƒªãƒ³ã‚¯

yutajuly/ML_level4

chezou 2014/12/16

"Rã¨Pythonã¨Juliaã¦ã‚™æ©Ÿæ¢°å¦ç¿’ãƒ¬ãƒ˜ã‚™ãƒ«ï¼”ã‚’ç›®æŒ‡ã™"

ãƒªãƒ³ã‚¯

ãµã ã‚“Rã§ã‚„ã£ã¦ã‚‹ã“ã¨ã‚’Juliaã§ã‚„ã‚‹ - ç›†æ ½æ—¥è¨˜

ï¼ˆJulia Advent Calendar 2014 16æ—¥ç›®ï¼‰ ç§ã¯æ™®æ®µRã‚’ä½¿ã£ã¦ã„ã¾ã™ã€‚ ã§ã€Rã§æ™®æ®µã‚„ã£ã¦ã„ã‚‹ã“ã¨ã‚’Juliaã§ã‚‚ã‚„ã‚ŠãŸã„ã¨æ€ã†ã‚ã‘ã§ã™ã€‚ æ™®æ®µã‚„ã£ã¦ã„ã‚‹ã“ã¨ã£ã¦ã„ã†ã®ã¯ã“ã†ã„ã†ã“ã¨ã§ã™ã€‚ æœ‰æ„å·®ã§ãŸã‚ˆã£ ã¨ã„ã†ã“ã¨ã§ä¸Šè¨˜ã‚’Juliaã§å®Ÿç¾ã™ã¹ãèª¿ã¹ãŸã“ã¨ã‚’ã¾ã¨ã‚ã¦ãŠãã¾ã™ã€‚ éŸ³ã‚’é³´ã‚‰ã™ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã¯ä»Šå›žWAVã‚’ä½¿ã£ãŸ waveãƒ•ã‚¡ã‚¤ãƒ«ã‚’æ‰±ã„ãŸã„å ´åˆã€WAVã¨AudioIOã¨ã„ã†ï¼’ã¤ã®ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ãŒã‚ã‚Šã¾ã™ã€‚ ãªãœï¼’ã¤ã‚‚ã‚ã‚‹ã®ã‹ã¨ã„ã†çµŒç·¯ã«ã¤ã„ã¦ã¯WAV.jlã®READMEï¼ˆä¸‹è¨˜ï¼‰ã«ã‚ã‚Šã¾ã™ã€‚ AudioIO is another audio library in the Julia ecosystem. It supports more file formats (including WAV) and implements a more powerful playba

chezou 2014/12/16

dichikaã•ã‚“ã®ã€Œæœ‰æ„å·®å‡ºãŸã‚ˆã€ã«ç¶šãJuliaã§zoié³´ã‚‰ã™è©±ã§ã™ #JuliaAC

julia

ãƒªãƒ³ã‚¯

Juliaã®DataFrameã«ã¤ã„ã¦â‘ - ã»ã‚“ã˜ã¤ã®ã¾ãªã³

chezou 2014/12/16

ã“ã‚Œã§Rãƒ¦ãƒ¼ã‚¶ãƒ¼ãŒjuliaã‚’ä½¿ãˆã‚‹ã‚ˆã†ã«ãªã‚‹ã‹ã‚‚ï¼ï¼Ÿ #JuliaAC

julia

ãƒªãƒ³ã‚¯

ã“ã‚Œã¯ï¼ŒJulia Advent Calendar 2014 14æ—¥ç›®ã®è¨˜äº‹ã§ã™ï¼ŽMLBaseãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã‚’ç”¨ã„ã¦æ©Ÿæ¢°å¦ç¿’ã®äºˆæ¸¬ãƒ¢ãƒ‡ãƒ«ã‚’æ§‹ç¯‰ã—ï¼Œè©•ä¾¡ã™ã‚‹æ–¹æ³•ã«ã¤ã„ã¦èª¬æ˜Žã—ã¾ã™ï¼Ž ä»¥ä¸‹ã§ã¯ï¼ŒJulia0.3.2ï¼ŒMLBase0.5.1ï¼ŒDecisionTree0.3.4ï¼ŒRDatasets0.1.1ã‚’ä½¿ç”¨ã—ã¦ã„ã¾ã™ï¼Ž Juliaã§ä½¿ç”¨ã§ãã‚‹æ©Ÿæ¢°å¦ç¿’ã®æ‰‹æ³• Juliaã§ä½¿ç”¨ã§ãã‚‹æ©Ÿæ¢°å¦ç¿’ã®æ‰‹æ³•ã«ã¯ï¼Œä»¥ä¸‹ã®ã‚ˆã†ãªã‚‚ã®ãŒã‚ã‚‹ï¼Ž æ‰‹æ³• ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ æ±ºå®šæœ¨ DecisionTree ãƒ©ãƒ³ãƒ€ãƒ ãƒ•ã‚©ãƒ¬ã‚¹ãƒˆ DecisionTree, RandomForests(by @bicycle1885ã•ã‚“) ã‚µãƒãƒ¼ãƒˆãƒ™ã‚¯ã‚¿ãƒžã‚·ãƒ³ SVM, LIBSVM ä»–ã®æ‰‹æ³•ã«ã¤ã„ã¦ã¯ï¼ŒAwesome Machine Learningã«ã¾ã¨ã¾ã£ã¦ã„ã‚‹ï¼Ž ãƒ©ãƒ³ãƒ€ãƒ ãƒ•ã‚©ãƒ¬ã‚¹ãƒˆã‚’è©¦ã—ã¦ã¿ã‚‹ Juliaã§ãƒ©ãƒ³ãƒ€ãƒ ãƒ•ã‚©ãƒ¬ã‚¹ãƒˆã‚’å®Ÿè¡Œã™ã‚‹ãŸã‚ã«

Juliaã«ã‚ˆã‚‹æ©Ÿæ¢°å¦ç¿’ã®äºˆæ¸¬ãƒ¢ãƒ‡ãƒ«æ§‹ç¯‰ãƒ»è©•ä¾¡ - sfchaos's blog

chezou 2014/12/16

julia

ãƒªãƒ³ã‚¯

ç¬¬3å›žã€€å®®å·é”å½¦â€•æœ€å…ˆç«¯ã®Webã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ã‚ãƒ£ãƒªã‚¢ | gihyo.jp

å…ˆã‚’æ©ã‚€ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã¸ã®ã‚¤ãƒ³ã‚¿ãƒ“ãƒ¥ãƒ¼ã‚’é€šã—ã¦ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ã‚ãƒ£ãƒªã‚¢ã«ã¤ã„ã¦è€ƒãˆã‚‹æœ¬é€£è¼‰ã€ä»Šå›žã¯å¤ãã‹ã‚‰Perlã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã§æ´»èºã—ã€æœ€è¿‘ã§ã¯Webãƒ†ã‚¯ãƒŽãƒã‚¸æƒ…å ±ç™ºä¿¡ã®ãƒãƒƒãƒ‰ã‚ãƒ£ã‚¹ãƒˆã€ŒRebuildã€ãŒè©±é¡Œã®å®®å·é”å½¦ã•ã‚“ã«ãŠè©±ã‚’ä¼ºã„ã¾ã—ãŸã€‚å®®å·ã•ã‚“ã¯ã€ç†è€…ã®ã‚¯ãƒƒã‚¯ãƒ‘ãƒƒãƒ‰ã®åŒåƒšã§ã‚‚ã‚ã‚Šã¾ã™ã€‚ ï¼»æ’®å½±ï¼šå¹³é‡Žæ£æ¨¹ï¼½ ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã«èˆˆå‘³ã‚’æŒã£ãŸãã£ã‹ã‘ â”€â â”€æœ€åˆã«ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚„ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒªãƒ³ã‚°ã«èˆˆå‘³ã‚’æŒã£ãŸã®ã¯ã„ã¤ã§ã—ã‚‡ã†ã‹ï¼Ÿ å®®å·ï¼šçˆ¶è¦ªãŒãƒ—ãƒã‚°ãƒ©ãƒžã ã£ãŸã®ã§ã€ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ã¯å°ã•ã„ã“ã‚ã‹ã‚‰å®¶ã«ã‚ã£ãŸã‚“ã§ã™ã‘ã©ã€ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã¯ã—ã¦ãŠã‚‰ãšã€ç´”ç²‹ã«PCãƒ¦ãƒ¼ã‚¶ã¨ã—ã¦ã‚²ãƒ¼ãƒ ã¨ã‹ã§éŠã‚“ã§ã„ã¾ã—ãŸã€‚ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®ãã£ã‹ã‘ã¯ã€æ±äº¬å¤§å¦ã«é€šã„å§‹ã‚ã¦ã€è¶£å‘³ã§ãƒ›ãƒ¼ãƒ ãƒšãƒ¼ã‚¸ã‚„æŽ²ç¤ºæ¿ã‚’ä½œã£ã¦ãŠã‚‚ã—ã‚ã„ã¨æ€ã£ãŸã“ã¨ã§ã™ãã€‚ãã®ã‚ã¨3å¹´æ¬¡ã«ã€ç†å¦éƒ¨æƒ…å ±ç§‘å¦ç§‘ã‚’é¸æŠžã—å¦ã³ã¾ã—ãŸã€‚ãã‚Œã¨å‰å¾Œã—ã¦ã€å¤§å¦ã®å‹é”ã‹ã‚‰ã€Œã‚ªãƒ©ã‚¤ãƒªãƒ¼ãƒ»ã‚¸

chezou 2014/12/16

CSåŸºç¤Žã‚„ã£ã¦ãªã„èº«ã¨ã—ã¦ã¯åˆºã•ã‚‹

ãƒªãƒ³ã‚¯

ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

ã‚¿ã‚°

2014å¹´12æœˆ16æ—¥ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (10ä»¶)

Ingressã‚¬ãƒå‹¢ã¸ã®é“

Rã¨Juliaã§ãŒã‚“ã°ã‚‹ãžã„ - xfujimonã®ãƒ–ãƒã‚°

ã€Œèªã‚€ã€ã¨ã„ã£ãŸã‚‰ä¸€å—ä¸€å¥â”€â”€ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒ»å…‰æˆ æ»‹ç”Ÿï¼ˆ2ï¼‰ | ã‚µã‚¤ãƒœã‚¦ã‚ºå¼

Lessons Learned from ï¿½Building Machine Learning Software at Netflix

Jupyter Notebook Viewer

yutajuly/ML_level4

ãµã ã‚“Rã§ã‚„ã£ã¦ã‚‹ã“ã¨ã‚’Juliaã§ã‚„ã‚‹ - ç›†æ ½æ—¥è¨˜

Juliaã®DataFrameã«ã¤ã„ã¦â‘ - ã»ã‚“ã˜ã¤ã®ã¾ãªã³

Juliaã«ã‚ˆã‚‹æ©Ÿæ¢°å¦ç¿’ã®äºˆæ¸¬ãƒ¢ãƒ‡ãƒ«æ§‹ç¯‰ãƒ»è©•ä¾¡ - sfchaos's blog

ç¬¬3å›žã€€å®®å·é”å½¦â€•æœ€å…ˆç«¯ã®Webã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ã‚ãƒ£ãƒªã‚¢ | gihyo.jp

ãŠçŸ¥ã‚‰ã›

æœˆé–“ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯æ•°ãƒ©ãƒ³ã‚ãƒ³ã‚°ï¼ˆ2024å¹´12æœˆï¼‰

ä»Šé€±ã®ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯æ•°ãƒ©ãƒ³ã‚ãƒ³ã‚°ï¼ˆ2025å¹´1æœˆç¬¬1é€±ï¼‰

ä»Šé€±ã®ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯æ•°ãƒ©ãƒ³ã‚ãƒ³ã‚°ï¼ˆ2024å¹´12æœˆç¬¬4é€±ï¼‰

å…¬å¼Twitter

ã‚ãƒ¼ãƒœãƒ¼ãƒ‰ã‚·ãƒ§ãƒ¼ãƒˆã‚«ãƒƒãƒˆä¸€è¦§

ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

å…¬å¼Twitter

ã¯ã¦ãªã®ã‚µãƒ¼ãƒ“ã‚¹

ã‚¿ã‚°

2014å¹´12æœˆ16æ—¥ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (10ä»¶)

ãŠçŸ¥ã‚‰ã›

æœˆé–“ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯æ•°ãƒ©ãƒ³ã‚­ãƒ³ã‚°ï¼ˆ2024å¹´12æœˆï¼‰

ä»Šé€±ã®ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯æ•°ãƒ©ãƒ³ã‚­ãƒ³ã‚°ï¼ˆ2025å¹´1æœˆç¬¬1é€±ï¼‰

ä»Šé€±ã®ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯æ•°ãƒ©ãƒ³ã‚­ãƒ³ã‚°ï¼ˆ2024å¹´12æœˆç¬¬4é€±ï¼‰

å…¬å¼Twitter

ã‚­ãƒ¼ãƒœãƒ¼ãƒ‰ã‚·ãƒ§ãƒ¼ãƒˆã‚«ãƒƒãƒˆä¸€è¦§

å…¬å¼Twitter

ã¯ã¦ãªã®ã‚µãƒ¼ãƒ“ã‚¹

2014å¹´12æœˆ16æ—¥ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (10ä»¶)

ãŠçŸ¥ã‚‰ã›

æœˆé–“ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯æ•°ãƒ©ãƒ³ã‚ãƒ³ã‚°ï¼ˆ2024å¹´12æœˆï¼‰

ä»Šé€±ã®ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯æ•°ãƒ©ãƒ³ã‚ãƒ³ã‚°ï¼ˆ2025å¹´1æœˆç¬¬1é€±ï¼‰

ä»Šé€±ã®ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯æ•°ãƒ©ãƒ³ã‚ãƒ³ã‚°ï¼ˆ2024å¹´12æœˆç¬¬4é€±ï¼‰

å…¬å¼Twitter

ã‚ãƒ¼ãƒœãƒ¼ãƒ‰ã‚·ãƒ§ãƒ¼ãƒˆã‚«ãƒƒãƒˆä¸€è¦§

å…¬å¼Twitter

ã¯ã¦ãªã®ã‚µãƒ¼ãƒ“ã‚¹