Facets: An Open Source Visualization Tool for Machine Learning Training Data
Posted by James Wexler, Senior Software Engineer, Google Big Picture Team (Cross-posted on the Google Open Source Blog) Getting the best results out of a machine learning (ML) model requires that you truly understand your data. However, ML datasets can contain hundreds of millions of data points, each consisting of hundreds (or even thousands) of features, making it nearly impossible to understand
Re:dash - Make Your Company Data Driven
Redash helps you make sense of your dataConnect and query your data sources, build dashboards to visualize data and share them with your company. “Redash is as essential as email to my company. We love data but accessing the data is a pain without Redash. Any company I go to, I get them hooked on Redash. It’s an easy sell :)†by Ben Dehghan, Co-Founder of Data Miner Read what our users say → Write
Redash ã®æ¬¡ã«ãã‚‹ã®ã¯ superset!! - Airbnb 謹製㮠BI ツール㌠OSS 㧠- Witch on the Other Shore
Redash (re:dash) æµè¡Œã£ã¦ã¾ã™ã。 redash.io 最近 Github ã‚’ã«ã‚ã‹ã«è³‘ã‚ã›ã¦ã„ã‚‹ OSS ㌠superset ã§ã™ã€‚ github.com superset ã¨ã¯ å…¬å¼èª¬æ˜Žã«ã‚ˆã‚‹ã¨ data exploration platform ã¨ã®ã“ã¨ã§ã™ãŒã€åƒ•ã®æ„Ÿè¦šçš„ã«ã¯ã“ã‚Œã¯ã¤ã¾ã‚Šã€ã„ã‚ゆる Business Intelligence (以下 BI) Tool ã§ã™ã€‚ãã†ã€Tableau ã®ã‚ˆã†ãªã€‚ OSS (Apache 2.0) サーãƒãƒ¼ã‚µã‚¤ãƒ‰ã¯ Python ã§æ›¸ã‹ã‚Œã¦ã„ã‚‹ Flask ã‚„ pandasã€SQLAlchemy ãªã©ã‚’利用 ã•ã¾ã–ã¾ãªãƒ‡ãƒ¼ã‚¿ã‚½ãƒ¼ã‚¹ã«å¯¾å¿œ (MySQL, Redshiftã€SparkSQL ãªã©) グラフæç”»ã®ç¨®é¡žãŒè±Šå¯Œ Role ã‚„ Permission ã«ã¤ã„ã¦ã‚る程度細ã‹ãè¨å®šå¯èƒ½ Airbnb Engineering
Googleã®ç„¡æ–™BIツール「Google Data Portal(グーグルデータãƒãƒ¼ã‚¿ãƒ«)ã€ã®ä½¿ã„æ–¹ | 解æžãƒ¬ãƒãƒ¼ãƒˆä½œæˆæ™‚é–“ãŒã‚¼ãƒã«ï¼ | Ledge.ai
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HILDA 2016: Workshop on Human-In-the-Loop Data Analytics
June 26, 2016 | Co-located with SIGMOD 2016 in San Francisco, CA Introduction Any data management system needs to work together with people, whose needs determine the goals for the system, and who must provide the input and who need to work effectively with the output. Data management systems will work much better when they take account of the cognitive and physiological characteristics of the peo
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BID Data Project | Big Data Analytics with Small Footprint
Welcome to the BID Data Project! Here you will find resources for the fastest Big Data tools on the Web. See our Benchmarks on github. BIDMach running on a single GPU-equipped host holds the records for many common machine learning problems, on single nodes or clusters. Try It! BIDMach is an interactive environment designed to make it extremely easy to build and use machine learning models. BIDMac
Bossie Awards 2014: The best open source big data tools
InfoWorld's top picks in distributed data processing, data analytics, machine learning, NoSQL databases, and the Hadoop ecosystem Although Hadoop is more popular than ever, MapReduce seems to be running out of friends. Everyone wants the answer faster, faster, now, and often in response to SQL queries. This year’s Bossies in big data track important new developments in the Hadoop stack, underscore
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HDF5ã¨ã„ã†ãƒ•ã‚¡ã‚¤ãƒ«ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆãŒã‚ã‚Šã¾ã™ã€‚ ã“ã®ãŸã³ã€ã—ã°ã‚‰ãC++ã§HDF5ã®ãƒ•ã‚¡ã‚¤ãƒ«ã‚’出力ã™ã‚‹ã¨ã„ã†ã®ã‚’ã‚„ã£ã¦ã„ãŸã®ã§ã™ãŒã€ãã‚Œã§è‹¦åŠ´ã—ãŸã‚Šã—ã¦ã„ãŸã®ã§ã€ã¨ã‚Šã‚ãˆãšè¶…åˆæ©çš„ãªã¨ã“ã‚ã‹ã‚‰ã„ãã¤ã‹ãƒã‚¤ãƒ³ãƒˆã‚’ã¾ã¨ã‚ã¦ã„ããŸã„ã¨æ€ã„ã¾ã™ã€‚ ãã‚‚ãã‚‚HDF5ã£ã¦ï¼Ÿ HDF5ã¯Hierarchical Data Format 5ã®ç•¥ã§ã™ã€‚科å¦æŠ€è¡“計算ãªã©ã®åˆ†é‡Žã§ã€ãŸã¨ãˆã°æ™‚系列ã«å¤‰åŒ–ã™ã‚‹å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã‚’é€ä¸€è¨˜éŒ²ã™ã‚‹ã¨ããªã©ã«ä½¿ã‚れるãã†ã§ã™ã€‚5ã¯ãƒ¡ã‚¸ãƒ£ãƒ¼ãªãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®ç•ªå·ã‹ã‚‰ãã¦ã„ã‚‹ã®ã‹ã¨æ€ã„ã¾ã™ã€‚ åå‰ã®ã¨ãŠã‚Šã€éšŽå±¤åŒ–ã•ã‚ŒãŸãƒ‡ãƒ¼ã‚¿ã®å½¢å¼ã€ã¨ã„ãˆã°ãã†ãªã®ã§ã™ãŒã€ãã‚Œã ã‘ã ã¨ã‚¤ãƒ¡ãƒ¼ã‚¸ãŒã¤ã‹ãªã„ã‹ã‚‚ã—ã‚Œãªã„ã®ã§ã€ã¾ãšã¯ã“ã®éšŽå±¤åŒ–ã€ã®æ„味ã™ã‚‹ã¨ã“ã‚ãŒã©ã†ã„ã†ã‚‚ã®ãªã®ã‹ã¨ã„ã†ã®ã‚’ã–ã£ãã‚Šã¨èª¬æ˜Žã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ 階層化ã•ã‚ŒãŸãƒ‡ãƒ¼ã‚¿ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã®å®Ÿç¾ã®ãŸã‚ã«ã€HDF5ã®ãƒ‡ãƒ¼ã‚¿ã¯ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã¨ã‚°ãƒ«ãƒ¼ãƒ—ã¨ã„
pandas - Python Data Analysis Library
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!
NECã€ãƒ“ッグデータ分æžã‚’高速化ã™ã‚‹åˆ†æ•£å‡¦ç†æŠ€è¡“を開発 (2013å¹´10月8æ—¥)：プレスリリース | NEC
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2. 自己紹介 ï¬ æ¯”æˆ¸å°†å¹³ï¼ˆHIDO Shohei） ï¬ TwitterID: @sla ï¬ å°‚é–€ï¼šãƒ‡ãƒ¼ã‚¿ãƒžã‚¤ãƒ‹ãƒ³ã‚°ã€æ©Ÿæ¢°å¦ç¿’ ï¬ çµŒæ´ï¼š ï¬ 2006-2012: IBMæ±äº¬åŸºç¤Žç ”究所データ解æžã‚°ãƒ«ãƒ¼ãƒ— ï¬ æ©Ÿæ¢°å¦ç¿’(特ã«ç•°å¸¸æ¤œçŸ¥)ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ç ”ç©¶é–‹ç™º ï¬ ãŠå®¢æ§˜æ¡ˆä»¶ã§ãƒ‡ãƒ¼ã‚¿è§£æžãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã«å¾“事 ï¬ 2012-: æ ªå¼ä¼šç¤¾ãƒ—リファードインフラストラクãƒãƒ£ãƒ¼ ï¬ å¤§è¦æ¨¡ã‚ªãƒ³ãƒ©ã‚¤ãƒ³åˆ†æ•£æ©Ÿæ¢°å¦ç¿’基盤Jubatusãƒãƒ¼ãƒ リーダー ï¬ 2013-: Preferred Infrastructure America, Inc. ï¬ Chief Research Officer 2
Radar - O’Reilly
Now, next, and beyond: Tracking need-to-know trends at the intersection of business and technology AI/ML Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML). Future of the Firm Everything from new organizational structures and payment schemes to new expectations, skills, and tools will shape the future of the fi
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Machine-learning GraphLab raises $18.5m and rebrands as Dato | ZDNet
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38.12. User-Defined Aggregates
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