Building a Web App in Julia: DifferentialEquations.jl Online - Stochastic Lifestyle
Web apps are all the rage because of accessibility. However, there are usually problems with trying to modify some existing software to be a web app: specifically user interface and performance. In order for a web application to perform well, it must be able to have a clean user interface with a “smart†backend which can automatically accommodate to the user’s needs, but also give back a nice look
Visualizing Graphs in Julia using Plots and PlotRecipes | juliabloggers.com
By: Tom Breloff Re-posted from: http://www.breloff.com/Graphs/ In this short post, I hope to introduce you to basic visualization of graphs (nodes connected by edges) when using Plots in Julia. The intention is that Visualizing a graph is as simple as inputting the connectivity structure, and optionally setting a ton of attributes that define the layout, labeling, colors, and more. Nodes are marke
Machine Learning and Visualization in Julia – Tom Breloff
September 23, 2016 In this post, I’ll introduce you to the Julia programming language and a couple long-term projects of mine: Plots for easily building complex data visualizations, and JuliaML for machine learning and AI. After short introductions to each, we’ll quickly throw together some custom code to build and visualize the training of an artificial neural network. Julia is fast, but you’ll s
A Parallel Recommendation Engine in Julia – Julia Computing
Recommender systems play a pivotal role in various business settings like e-commerce sites, social media platforms, and other platforms involving user interaction with other users or products. Recommender systems provide valuable insights to gain actionable intelligence on these users. Large Scale Recommender systems help in unraveling the latent information in the complex relational data between
ã•ã ã¨Juliaã§LDA - Qiita
ã¯ã˜ã‚ã« ã•ã ã¾ã•ã— x IT Advent Calendar 2015 - Qiita ã¨ã„ã†ç´ 敵ãªä¼ç”»ãŒã‚ã‚Šã¾ã™ã€‚ ã„ãŸãæ„Ÿæ¿€ã—ã€å‚åŠ ã—ãŸã„ã¨æ€ã£ãŸã®ã§ã™ãŒã€è€ƒãˆã¦ã„ã‚‹é–“ã«æž ãŒåŸ‹ã¾ã£ã¦ã—ã¾ã„ã¾ã—ãŸï¼ˆohtamanã•ã‚“ã«24æ—¥æž ã‚’å–られã¦ã—ã¾ã„ã¾ã—ãŸï¼‰ã€‚ ã¨ã‚‚ã‹ãã€Juliaã§ç°¡å˜ãªLDAを実装ã—ã€ã•ã ã¾ã•ã—ã•ã‚“ã®æŒè©žã«é©ç”¨ã—ã¦ã¿ã¾ã—ãŸã€‚ トピックモデル 「トピックモデルã€ã¨ã¯ã€ãƒ‡ãƒ¼ã‚¿ã®æ½œåœ¨çš„ãªâ€ãƒˆãƒ”ックâ€ã‚’見ã¤ã‘出ã™ãŸã‚ã®æ‰‹æ³•ã§ã™ã€‚ã“ã‚Œã ã‘言ã‚ã‚Œã¦ã‚‚ãªã‚“ã®ã“ã¨ã‹ã•ã£ã±ã‚Šåˆ†ã‹ã‚‰ãªã„ã¨ã¯æ€ã„ã¾ã™ãŒã€ä¸–ã®ä¸ã«ã¯ã¨ã¦ã‚‚ç´ æ™´ã‚‰ã—ã„解説資料ãŒæ²¢å±±ã‚ã‚‹ã®ã§ã€èˆˆå‘³ãŒã‚ã‚‹æ–¹ã¯ãœã²è¨˜äº‹æœ«ã®æ–‡çŒ®ä¸€è¦§ã‚’å‚ç…§ãã ã•ã„。 トピックモデルã¨ã„ã£ã¦ã‚‚色々ãªã‚‚ã®ãŒã‚ã‚Šã¾ã™ãŒã€æœ€ã‚‚有åã§ã€ã‚ˆã使ã‚ã‚Œã¦ã„ã‚‹ã‚‚ã®ãŒã€ä»Šå›žã®é¡Œæã¨ãªã‚‹LDAã§ã™ã€‚ LDA Latent Dirichet allocation（LDA, 潜在的デ
Juliaã§ãƒ†ã‚スト分æžã‚’ã—ã¦ã¿ã‚‹ - Qiita
Juliaアドベントカレンダーã®è¨˜äº‹ã§ã™ã€‚ 先日ã®JuliaTokyoã§LTã—ãŸå†…容を記事ã«ã•ã›ã¦ã„ãŸã ãã¾ã—ãŸï¼Ž ã‚„ã‚‹ã“㨠日本語ã®ãƒ†ã‚スト分æžã‚’Juliaã§ã‚„ã‚‹ TextAnalysisã¨ã„ã†ã‚¤ãƒ–ラリãŒã‚ã‚‹ã®ã§, ãã‚Œã«æ—¥æœ¬èªžæ–‡æ›¸ã‚’投入ã—ã¦åˆ†æžã™ã‚‹ 分ã‹ã¡æ›¸ãã™ã‚Œã°æ—¥æœ¬èªžã‚‚使ãˆã‚‹ã®ã§ï¼Œ@chezouã•ã‚“ã®Mecab.jlを使ㆠTextAnalysisãŒå¤¢è¦‹ãŒã¡ãªãƒ©ã‚¤ãƒ–ラリã§ã‚ã‚‹ã“ã¨ã‚’ã¿ã‚“ãªã«ä¼ãˆã‚‹ 使ã†ãƒ‘ッケージ TextAnalysis.jl johnmyleswhite先生ã®ãƒ©ã‚¤ãƒ–ラリ テã‚スト分æžã§ã‚„ã‚ŠãŸã„ã“ã¨å¤§ä½“ã§ãるよã†ã«READMEã¿ãŸã‚‰æ€ãˆã‚‹ã‘ã©ã€å¤§ä½“ã¯é¡˜æœ› MeCab.jl å½¢æ…‹ç´ è§£æžã®æ—¥æœ¬èªžãƒã‚¤ãƒ³ãƒ‡ã‚£ãƒ³ã‚° TextAnalysisã®Corpusã«æ”¾ã‚Šè¾¼ã‚€ using TextAnalysis using MeCab mecab = Mecab() lines = r
データサイエンティスト養æˆèªæœ¬æ©Ÿæ¢°å¦ç¿’入門編ã®æŒ¯ã‚Šè¿”ã‚Šã¨è£œè¶³ - sfchaos's blog
9月10日，技術評論社より「データサイエンティスト養æˆèªæœ¬ã€€æ©Ÿæ¢°å¦ç¿’入門編ã€ãŒç™ºå£²ã•ã‚Œï¼ŒãŠã‹ã’ã•ã¾ã§ç´„1ヶ月後ã«ã¯å¢—刷ãŒæ±ºå®šã—ã¾ã—ãŸï¼Ž ãŠèªã¿ã„ãŸã ã„ãŸæ–¹ã€…ã«æ·±ããŠç¤¼ç”³ã—上ã’ã¾ã™ï¼Ž データサイエンティスト養æˆèªæœ¬ 機械å¦ç¿’入門編 (Software Design plus) 作者: 比戸将平,é¦¬å ´é›ªä¹ƒ,里洋平,戸嶋é¾å“‰,å¾—å±…èª ä¹Ÿ,ç¦å³¶çœŸå¤ªæœ—,åŠ è—¤å…¬ä¸€,関喜å²,阿部厳,熊崎å®æ¨¹å‡ºç‰ˆç¤¾/メーカー: 技術評論社発売日: 2015/09/10メディア: 大型本ã“ã®å•†å“ã‚’å«ã‚€ãƒ–ãƒã‚° (7件) を見るã¾ãŸï¼Œå‡ºç‰ˆæ—¥ã®å¤œã«ã¯ï¼ŒKDDIウェブコミュニケーションズ様ã§åˆŠè¡Œè¨˜å¿µã‚¤ãƒ™ãƒ³ãƒˆãŒè¡Œã‚ã‚Œã¾ã—ãŸï¼Ž 「データサイエンティスト養æˆèªæœ¬ 機械å¦ç¿’入門編ã€åˆŠè¡Œè¨˜å¿µã‚¤ãƒ™ãƒ³ãƒˆ ç§ã‚‚著者ã®ä¸€äººã¨ã—ã¦å‚åŠ ã•ã›ã¦ã„ãŸã ãã¾ã—ãŸï¼Ž 足元ãŒå„ªã‚Œãªã„ä¸ã”å‚åŠ ã„ãŸã ã„ãŸæ–¹ã€…ï¼Œä¼šå ´ã‚’æä¾›ã„ãŸã ã„ãŸKDDIウェブコミュニケーションズ様，
TinySegmenterã‚’Julia移æ¤ã—ãŸã‚‰MITã®å…ˆç”Ÿã«æŒ‡å°Žã—ã¦ã‚‚らãˆãŸè©± - once upon a time,
先日ã€å·¥è—¤ã•ã‚“ãŒJavaScriptå‘ã‘ã«ä½œã£ãŸæ—¥æœ¬èªžã®ã‚³ãƒ³ãƒ‘クトãªåˆ†ã‹ã¡æ›¸ãツールã€TinySegmenterã‚’Juliaã«ç§»æ¤ã—ãŸTinySegmenter.jlを作りã¾ã—ãŸã€‚ ã‚‚ã¨ã‚‚ã¨ã¯ã€PyconJPã§janomeã®è©±ã‚’èžã„ãŸã‚‰å±…ã¦ã‚‚ç«‹ã£ã¦ã‚‚居られãªããªã£ã¦ã€ç°¡å˜ãªTinySegmenterを移æ¤ã—ãŸã‚“ã§ã™ãŒã€ãã—ãŸã‚‰æ€ã„もよらã¬å±•é–‹ãŒå¾…ã£ã¦ã„ã¾ã—ãŸã€‚ [2015/10/22 23:38 追記] 計測ã®å•é¡Œã‚’ @repeatedly ã•ã‚“ã‹ã‚‰æŒ‡æ‘˜ã„ãŸã ã„ãŸã®ã§å†è¨ˆæ¸¬ã—ã¾ã—ãŸã€‚ パッケージ登録時ã«MITã®å…ˆç”Ÿã‹ã‚‰ãƒ„ッコミãŒå…¥ã‚‹ Juliaã®ãƒ‘ッケージã¯METADATA.jlã¨ã„ã†ã‚»ãƒ³ãƒˆãƒ©ãƒ«ãªãƒ¬ãƒã‚¸ãƒˆãƒªã§ç®¡ç†ã•ã‚Œã¦ã„ã¾ã™ã€‚ ã“ã“ã«ç™»éŒ²ã•ã‚ŒãŸãƒ‘ッケージã¯Pkg.add("TinySegmenter")ã¨REPLã§å®Ÿè¡Œã™ã‚‹ã ã‘ã§ãƒ‘ッケージãŒå°Žå…¥ã§ãã¾ã™ã€‚*1 ã“ã“ã«ç™»éŒ²ã‚’ã—よã†ã¨ã—ãŸæ™‚ã«ã€
JSoC 2015 project: Efficient data structures and algorithms for sequence analysis in BioJulia
JSoC 2015 project: Efficient data structures and algorithms for sequence analysis in BioJulia Participant: Kenta Sato (@bicycle1885) Mentor: Daniel C. Jones (@dcjones) Thanks to a grant from the Gordon and Betty Moore Foundation, I've enjoyed the Julia Summer of Code 2015 program administered by the NumFOCUS and a travel to the JuliaCon 2015 at Boston. During this program, I have created several p
Gamma Process Non-negative Matrix Factorization (GaP-NMF) in Julia | LESS IS MORE
Gamma Process Non-negative Matrix Factorization (GaP-NMF) in Julia 最近 Julia ã§éŠã‚“ã§ã„ã¦ã€ãã®éŽç¨‹ã§éžè² å€¤è¡Œåˆ—å› å分解（NMF）ã®ãƒŽãƒ³ãƒ‘ラ版ã®ä¸€ã¤ã§ã‚ã‚‹Gamma Process Non-negative Matrix Factorization (GaP-NMF) を書ã„ã¦ã¿ã¾ã—ãŸã€‚（ã¾ãmatlabコードã®å†™çµŒãªã‚“ã§ã™ãŒï¼‰ https://github.com/r9y9/BNMF.jl 元論文: Bayesian Nonparametric Matrix Factorization for Recorded Music by Matthew D. Hoffman et al. in ICML 2010. デモ http://nbviewer.ipython.org/github/r9y9/BNMF.jl/blo
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Julia Scientific Programming
Are People in Colder Countries Taller? in Julia - Ivan Kuznetsov
Julia Packages
GitHub - svs14/Orchestra.jl: Heterogeneous ensemble learning for Julia.
Julia 0.5-dev ã® Generator ã«è§¦ã‚Œã¦ã¿ãŸã€‚ - Qiita
HDF5 in Julia | juliabloggers.com
GitHub - paulhendricks/MachineLearningMetrics.jl: DEPRECATED: MOVED TO JuliaML/MLMetrics.jl
Introduction to Julia for bioinformacis
JuliaML
GitHub - JuliaPlots/UnicodePlots.jl: Unicode-based scientific plotting for working in the terminal
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