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Machine Learning with Scikit Learn (Part I) - 人工知能ã«é–¢ã™ã‚‹æ–創録
今年ã®7月ã«é–‹å‚¬ã•ã‚ŒãŸSciPy2015ã®è¬›æ¼”å‹•ç”»ãŒEnthoughtã®ãƒãƒ£ãƒ³ãƒãƒ«ã§å…¬é–‹ã•ã‚Œã¦ã„る。今年もé¢ç™½ã„講演ãŒå¤šã„ã®ã§ã„ã‚ã„ã‚ãƒã‚§ãƒƒã‚¯ã—ã¦ã„る。 今年ã®ç›®æ¨™ï¼ˆ2015/1/11）ã«Pythonã®æ©Ÿæ¢°å¦ç¿’ライブラリã§ã‚ã‚‹scikit-learnを使ã„ã“ãªã™ã¨ã„ã†ã®ãŒå…¥ã£ã¦ã„ã‚‹ã®ã§ã€ã¾ãšã¯scikit-learnã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã‚’一通り見るã“ã¨ã«ã—ãŸã€‚ Part Iã¨Part IIã‚’åˆã‚ã›ã‚‹ã¨6時間以上ã‚ã‚Šéžå¸¸ã«å……実ã—ã¦ã„る。IPython Notebookå½¢å¼ã®è³‡æ–™ã‚„データã¯ä¸‹è¨˜ã®GitHubアカウントã§æä¾›ã•ã‚Œã¦ã„る。ノートブックをダウンãƒãƒ¼ãƒ‰ã—ã€å®Ÿéš›ã«æ‰‹ã‚’å‹•ã‹ã—ãªãŒã‚‰ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã‚’進ã‚ã‚‹ã¨ç†è§£ãŒã‚ˆã‚Šé€²ã‚€ã‹ã‚‚ã—ã‚Œãªã„。 ã‚ã¨ã§æŒ¯ã‚Šè¿”ã‚Šã‚„ã™ã„よã†ã«å†…容を簡å˜ã«ã¾ã¨ã‚ã¦ãŠããŸã„。 1.1 Introduction to Machine Learning 機械å¦ç¿’システムã®æµã‚Œã€‚教師ã‚
Gensim: topic modelling for humans
Documentation¶ We welcome contributions to our documentation via GitHub pull requests, whether it’s fixing a typo or authoring an entirely new tutorial or guide. If you’re thinking about contributing documentation, please see How to Author Gensim Documentation. Core Tutorials: New Users Start Here!¶ If you’re new to gensim, we recommend going through all core tutorials in order. Understanding this
IPython notebook サーãƒãƒ¼ã‚’ç«‹ã¡ä¸Šã’ã‚‹ - Qiita
IPython notebook を利用ã™ã‚‹ã¨ Web アプリケーションã¨ã—ã¦å‹•ä½œã—ブラウザã®ã¿ã§ IPython ã®å¯¾è©±ç’°å¢ƒã‚’使ã†ã“ã¨ãŒã§ãるよã†ã«ãªã‚Šã¾ã™ã€‚ サーãƒãƒ¼ã‚µã‚¤ãƒ‰ã§ IPython ã‚’èµ·å‹•ã—ã¦ãŠã‘ã°è‰¯ã„ã ã‘ãªã®ã§ã€ã„ãã¤ã‹ã®ãƒ¡ãƒªãƒƒãƒˆãŒã‚ã‚Šã¾ã™ã€‚ クライアントã¨ãªã‚‹è¨ˆç®—æ©Ÿã«ãƒ–ラウザ以外ã®ç‰¹åˆ¥ãªã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚’インストールã™ã‚‹å¿…è¦ãŒãªã„ (特㫠matplotlib ã§) æç”»ã—ãŸå›³ã‚„表ãŒã‚¤ãƒ³ãƒ©ã‚¤ãƒ³ã§è¡¨ç¤ºã•ã‚Œã‚‹ セッションをä¿å˜ã—ã€ãŸã¨ãˆã°ãƒ—レゼンテーションãªã©ã«åˆ©ç”¨ã™ã‚‹ã“ã¨ãŒã§ãã‚‹ ã“ã®ã‚ãŸã‚Šã¯ä»¥å‰ã«æ›¸ã„㟠IPython Notebook ã®ä½¿ã„ã©ã“ã‚ã®é€šã‚Šã§ã™ã€‚ IPython notebook ã§ã¯ä»¥ä¸‹ã®ç”»åƒã®ã‚ˆã†ã«ãƒ—ãƒãƒƒãƒˆã—ãŸç”»åƒãŒã™ãã«è¡¨ç¤ºã•ã‚Œã¾ã™ã€‚ã“ã®ãŸã‚探索的ã«ãƒ‡ãƒ¼ã‚¿ã‚’分æžã—ã¦ã„ãよã†ãªä½œæ¥ã«å‘ã„ã¦ã„ã¾ã™ã€‚ IPython notebook ã®ã‚µãƒ¼ãƒãƒ¼ã‚’用æ„ã™ã‚‹ ã‚
Overview
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. BeakerX supports: Groovy, Scala, Clojure, Kotlin, Java, and SQL, including many magics; Widgets for time-series plotting, tables, forms, and more (there are Python and JavaSc
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