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tanakaBox 2022/07/11

machinelearning

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OpenAI

Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.

tanakaBox 2021/11/22

machinelearning

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ç¬¬1è©± æ©Ÿæ¢°å¦ç¿’ã®ä»•äº‹å†…å®¹ã£ã¦ï¼Ÿå®Ÿã¯ã‚³ãƒ¼ãƒ‰ã‚’æ›¸ãã ã‘ã˜ã‚ƒãªã„ï¼ã€æ¼«ç”»ã€‘æœªçµŒé¨“ãªã®ã«ã€æ©Ÿæ¢°å¦ç¿’ã®ä»•äº‹å§‹ã‚ã¾ã—ãŸã€€ - itstaffing ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‚¹ã‚¿ã‚¤ãƒ«

ï¼ˆå‡ºå…¸ï¼‰https://papers.nips.cc/paper/2015/file/86df7dcfd896fcaf2674f757a2463eba-Paper.pdf ãƒ»Configurationï¼šè¨å®š æ©Ÿæ¢°å¦ç¿’ã‚·ã‚¹ãƒ†ãƒ ã«å¿…è¦ãªè¨å®šã‚’ã™ã‚‹ ãƒ»Data Collectionï¼šãƒ‡ãƒ¼ã‚¿åŽé›† æ©Ÿæ¢°å¦ç¿’ã™ã‚‹ãŸã‚ã®ã‚µãƒ³ãƒ—ãƒ«ãƒ‡ãƒ¼ã‚¿ã‚’é›†ã‚ã‚‹ ãƒ»Data Verificationï¼šãƒ‡ãƒ¼ã‚¿æ¤œè¨¼ / ãƒ‡ãƒ¼ã‚¿ç…§åˆ ãƒ‡ãƒ¼ã‚¿ã®ä¸å‚™ã‚’æ¤œè¨¼ ãƒ»Feature Extractionï¼šç‰¹å¾´æŠ½å‡º æ©Ÿæ¢°å¦ç¿’ã«å¿…è¦ãªç‰¹å¾´é‡ã®æŠ½å‡º ãƒ»Machine Resource Managementï¼šãƒžã‚·ãƒ³ã®ãƒªã‚½ãƒ¼ã‚¹ç®¡ç† ã‚·ã‚¹ãƒ†ãƒ ã‚’å‹•ã‹ã™ã‚µãƒ¼ãƒãƒ¼ã®ç®¡ç† ãƒ»Analysis Toolsï¼šåˆ†æžãƒ„ãƒ¼ãƒ« metabaseãªã©ã®åˆ†æžãƒ„ãƒ¼ãƒ«ã®æ•´å‚™ ãƒ»Process Management Toolsï¼šãƒ—ãƒã‚»ã‚¹ç®¡ç†ãƒ„ãƒ¼ãƒ« ãƒãƒƒãƒãªã©ã®å‡¦ç†ã‚’ç®¡ç† ãƒ»Serv

tanakaBox 2021/11/22

machinelearning

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SynapseML: A simple, multilingual, and massively parallel machine learning library - Microsoft Research

Simplifying distributed ML through a unified API Writing fault-tolerant distributed programs is complex and a process thatâ€™s prone to errors. For example, consider the distributed evaluation of a deep network. The first step is to send a multi-GB model to hundreds of worker machines without overwhelming the network. Then, data readers must coordinate to ensure that all data is queued for processin

tanakaBox 2021/11/19

machinelearning

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æ·±å±¤å¦ç¿’ DS-GA 1008 Â· 2020å¹´åº¦æ˜¥å¦æœŸ Â· ãƒ‹ãƒ¥ãƒ¼ãƒ¨ãƒ¼ã‚¯å¤§å¦ãƒ‡ãƒ¼ã‚¿ãƒ»ã‚µã‚¤ã‚¨ãƒ³ã‚¹ãƒ»ã‚»ãƒ³ã‚¿ãƒ¼

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tanakaBox 2021/11/11

machinelearning

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ä»Šèµ·ãã¦ã„ã‚‹é©å‘½ã€ã€Œå› æžœé©å‘½ã€ã¨ã¯ - Qiita

ã¿ãªã•ã¾ã¯"The Causal Revolution" (å› æžœé©å‘½)ã¨ã„ã†è¨€è‘‰ã‚’èžã„ãŸã“ã¨ãŒã‚ã‚‹ã§ã—ã‚‡ã†ã‹ï¼Ÿ ç§ã¯ä»Šæœˆ(2021å¹´6æœˆ)ã«åˆã‚ã¦çŸ¥ã‚Šã¾ã—ãŸã€‚Google Trendsã§ã‚‚ãƒ‡ãƒ¼ã‚¿ä¸è¶³ã«ã‚ˆã‚Šãƒˆãƒ¬ãƒ³ãƒ‰ãŒè¡¨ç¤ºã•ã‚Œã¾ã›ã‚“ã€‚ ã¤ã¾ã‚Šã¾ã å…¨ç„¶ãƒžã‚¤ãƒŠãƒ¼ãªæ¦‚å¿µã§ã€èžã„ãŸã“ã¨ãŒãªã„ã»ã†ãŒè‡ªç„¶ã‹ã¨æ€ã‚ã‚Œã¾ã™ãŒã€ã“ã‚Œã¯ã€Œæ¥ã‚‹ã€ã¨ç¢ºä¿¡ã—ãŸãŸã‚æœ¬è¨˜äº‹ã‚’æŠ•ç¨¿ã—ã¾ã—ãŸã€‚ã“ã®ç¢ºä¿¡ã®æ ¹æ‹ ã®ç®‡æ‰€ã‚’è¨˜äº‹ä¸ã§å¤ªå—ã§æ›¸ã„ãŸä»–ã€æœ€å¾Œã«ã‚‚ã¾ã¨ã‚ãŸãŸã‚ã€æœ¬è¨˜äº‹ã‚’èªã‚€ä¾¡å€¤ãŒã‚ã‚Šãã†ã‹ã®åˆ¤æ–ã«ã¯å…ˆã«ãã¡ã‚‰ã‚’èªã‚“ã§ã‚‚ã‚‰ã£ã¦ã‚‚ã„ã„ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“ã€‚ã—ã‹ã—ãªãŒã‚‰ã€å› æžœé©å‘½ãªã„ã—çµ±è¨ˆçš„å› æžœæŽ¨è«–ã¯å¦ã¶ä¾¡å€¤ã®ã‚ã‚‹åˆ†é‡Žã§ã™ã€‚æœ¬è¨˜äº‹ã‚’èªã¾ãªãã¦ã‚‚ä¸‹è¨˜ã«æŒ™ã’ãŸæ›¸ç±ã‚’æœªèªã®æ–¹ã¯ãœã²ä¸€èªã—ã¦ã¿ã¦ãã ã•ã„ã€‚Qiitaã§ã‚‚å› æžœæŽ¨è«–ã«ã¤ã„ã¦ã®è¨˜äº‹ã¯ã„ãã¤ã‚‚ã‚ã‚Šã¾ã™ã€‚ã—ã‹ã—ã€ç§ãŒæ„Ÿå‹•ã—ãŸç‚¹ã‚’æ˜Žç¤ºåŒ–ã—ãŸè¨˜äº‹ã¯è¦‹å½“ãŸã‚‰ãªã‹ã£ãŸãŸã‚æœ¬è¨˜äº‹ã‚’æŠ•ç¨¿ã—ã¾ã—ãŸã€‚ ã“ã®è¨˜

tanakaBox 2021/06/30

machinelearning

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Interpretable Machine Learning

Interpretable Machine Learning A Guide for Making Black Box Models Explainable. Christoph Molnar 2021-05-31 è¦ç´„ æ©Ÿæ¢°å¦ç¿’ã¯ã€è£½å“ã‚„å‡¦ç†ã€ç ”ç©¶ã‚’æ”¹å–„ã™ã‚‹ãŸã‚ã®å¤§ããªå¯èƒ½æ€§ã‚’ç§˜ã‚ã¦ã„ã¾ã™ã€‚ ã—ã‹ã—ã€ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ã¯é€šå¸¸ã€äºˆæ¸¬ã®èª¬æ˜Žã‚’ã—ã¾ã›ã‚“ã€‚ã“ã‚ŒãŒæ©Ÿæ¢°å¦ç¿’ã‚’æŽ¡ç”¨ã™ã‚‹éšœå£ã¨ãªã£ã¦ã„ã¾ã™ã€‚ æœ¬æ›¸ã¯ã€æ©Ÿæ¢°å¦ç¿’ãƒ¢ãƒ‡ãƒ«ã‚„ã€ãã®åˆ¤æ–ã‚’è§£é‡ˆå¯èƒ½ãªã‚‚ã®ã«ã™ã‚‹ã“ã¨ã«ã¤ã„ã¦æ›¸ã‹ã‚Œã¦ã„ã¾ã™ã€‚ è§£é‡ˆå¯èƒ½æ€§ã¨ã¯ä½•ã‹ã‚’èª¬æ˜Žã—ãŸå¾Œã€æ±ºå®šæœ¨ã€æ±ºå®šè¦å‰‡ã€ç·šå½¢å›žå¸°ãªã©ã®å˜ç´”ã§è§£é‡ˆå¯èƒ½ãªãƒ¢ãƒ‡ãƒ«ã«ã¤ã„ã¦å¦ã³ã¾ã™ã€‚ ãã®å¾Œã®ç« ã§ã¯ã€ç‰¹å¾´é‡ã®é‡è¦åº¦ (feature importance)ã‚„ALE(accumulated local effects)ã‚„ã€å€‹ã€…ã®äºˆæ¸¬ã‚’èª¬æ˜Žã™ã‚‹LIMEã‚„ã‚·ãƒ£ãƒ¼ãƒ—ãƒ¬ã‚¤å€¤ã®ã‚ˆã†ãªãƒ¢ãƒ‡ãƒ«ã«éžä¾å˜ãªæ‰‹æ³•(mo

tanakaBox 2021/05/16

machinelearning

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Kaggle: The Home of Data Science

Kaggle is the worldâ€™s largest data science community with powerful tools and resources to help you achieve your data science goals.

tanakaBox 2019/09/19

machinelearning

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è¨˜äº‹ã®ã‚¹ã‚¯ãƒ¬ã‚¤ãƒ”ãƒ³ã‚°ã‚’æ©Ÿæ¢°å¦ç¿’ã§è‡ªå‹•åŒ– - Qiita

Help us understand the probl em. What is going on with this article?

tanakaBox 2018/10/22

machinelearning

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Machine Learning Â |Â Google for Developers

Send feedback Stay organized with collections Save and categorize content based on your preferences. Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, interactive visualizations, and hands-on practice exercises.

tanakaBox 2018/04/29

machinelearning

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æ©Ÿæ¢°å¦ç¿’ã‚’ã‚„ã‚‹ä¸Šã§å¿…è¦ãªæ•°å¦ã¨ã¯ã€ã©ã®åˆ†é‡Žã®ã©ã®ãƒ¬ãƒ™ãƒ«ã®è©±ãªã®ã‹ï¼ˆæ•°å¦ãŒå¤§ã®è‹¦æ‰‹ãªäººé–“ãƒãƒ¼ã‚¸ãƒ§ãƒ³ï¼‰ - æ¸‹è°·é§…å‰ã§åƒããƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆã®ãƒ–ãƒã‚°

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tanakaBox 2018/04/25

machinelearning

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ã€æ©Ÿæ¢°å¦ç¿’åˆå¿ƒè€…å‘ã‘ã€‘scikit-learnã€Œã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒ»ãƒãƒ¼ãƒˆã‚·ãƒ¼ãƒˆã€ã®å…¨æ‰‹æ³•ã‚’å®Ÿè£…ãƒ»è§£èª¬ã—ã¦ã¿ãŸ - Qiita

scikit-learnã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒ»ãƒãƒ¼ãƒˆã‚·ãƒ¼ãƒˆã§ç´¹ä»‹ã•ã‚Œã¦ã„ã‚‹æ‰‹æ³•ã‚’å…¨ã¦å®Ÿè£…ã—ã€è§£èª¬ã—ã¦ã¿ã¾ã—ãŸã€‚ æ³¨é‡ˆ æœ¬è¨˜äº‹ã‚·ãƒªãƒ¼ã‚ºã®å†…å®¹ã¯ã€ã•ã‚‰ã«ä¸å¯§ã«è¨˜è¼‰ã‚’åŠ ãˆã€æ›¸ç±ã€ŒAI ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‚’ç›®æŒ‡ã™äººã®ãŸã‚ã®æ©Ÿæ¢°å¦ç¿’å…¥é–€ å®Ÿè£…ã—ãªãŒã‚‰ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®æµã‚Œã‚’å¦ã¶ã€ ã¨ã—ã¦ã€å‡ºç‰ˆã„ãŸã—ã¾ã—ãŸã€‚ æ¦‚è¦ scikit-learn ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒ»ãƒãƒ¼ãƒˆã‚·ãƒ¼ãƒˆ ã€å¯¾è±¡è€…ã€‘æ©Ÿæ¢°å¦ç¿’ã‚’ä½¿ç”¨ã—ãŸã„æ–¹ã€åˆå¿ƒè€…å‘ã‘ã®æ©Ÿæ¢°å¦ç¿’æœ¬ã‚’èªã‚“ã§å°‘ã—å®Ÿè£…ã—ã¦ã¿ãŸæ–¹ scikit-learnã®èª¬æ˜Žã¯è‹±èªžã§åˆ†ã‹ã‚Šã«ãã„ã—ã€å®Ÿè£…ä¾‹ã‚‚ã‚·ãƒ³ãƒ—ãƒ«ã§ãªãã¦ã€ã‚ˆãåˆ†ã‹ã‚‰ã‚“ã¨ã„ã†æ–¹ ã€å¾—ã‚‰ã‚Œã‚‹ã‚‚ã®ã€‘æ¨¡æ“¬ãƒ‡ãƒ¼ã‚¿ã‚’ç”¨ã„ã¦ã€å„æ‰‹æ³•ã‚’ä½¿ç”¨ã—ãŸãƒŸãƒ‹ãƒžãƒ ãƒ»ã‚·ãƒ³ãƒ—ãƒ«ãªãƒ—ãƒã‚°ãƒ©ãƒ ãŒå®Ÿè£…ã§ãã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®è©³ç´°ãªæ•°å¼ã¯ç†è§£ã§ãã¾ã›ã‚“ãŒã€ã ã„ãŸã„ä½•ã‚’ã‚„ã‚ŠãŸã„ã®ã‹ã€æ„å›³ã¨å¿ƒã€ã‚¨ãƒƒã‚»ãƒ³ã‚¹ãŒåˆ†ã‹ã‚Šã¾ã™ã€‚ ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒžãƒƒãƒ—ã®æ‰‹æ³•ã‚’ã²ã¨ã¤ãšã¤å®Ÿè£…ãƒ»è§£èª¬ã—ã¾ã™ã€‚

tanakaBox 2018/04/24

machinelearning

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ã‚¼ãƒã‹ã‚‰å§‹ã‚ã‚‹æ·±å±¤å¼·åŒ–å¦ç¿’ï¼ˆNLP2018è¬›æ¼”è³‡æ–™ï¼‰/ Introduction of Deep Reinforcement Learning

Introduction of Deep Reinforcement Learning, which was presented at domestic NLP conference. è¨€èªžå‡¦ç†å¦ä¼šç¬¬24å›žå¹´æ¬¡å¤§ä¼š(NLP2018) ã§ã®è¬›æ¼”è³‡æ–™ã§ã™ã€‚ http://www.anlp.jp/nlp2018/#tutorialRead less

tanakaBox 2018/03/26

machinelearning

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ç·šç”»ç€è‰²webã‚µãƒ¼ãƒ“ã‚¹PaintsChainerã‚’å…¬é–‹ã—ãŸ - Qiita

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