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AkihitoK id:AkihitoK

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AkihitoK 2016/08/25
IOT

machine

learning
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AkihitoK 2016/08/16
machine

learning
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The current state of machine intelligence 2.0
Autonomous systems and focused startups among major changes seen in past year. Cartographical representation of a self-organizing map based on Wikipedia featured article data. Distance is inversely proportional to similarity. The "mountains" are edges between clusters.. (source: By Denoir on Wikimedia Commons) A year ago today, I published my original attempt at mapping the machine intelligence ec
AkihitoK 2015/12/14
machine

learning
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Where are the opportunities for machine learning startups? [guest post]
AkihitoK 2015/12/11
machine

learning
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Two examples of why machine learning is becoming the most powerful way to increase revenue â€” Medium
AkihitoK 2015/07/24
algo

machine

learning
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Airbnb is using machine learning to help hosts make as much money as possible
AkihitoK 2015/06/05
machine

learning
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Machine Learning Goes Mainstream II: Guesswork Automates CRM With Digital Division Of Labor
Machine learning is a term you can expect to hear a lot in coming years. ML makes no claims to sentience or general intelligence, but it can be very useful if you have large and fairly consistent sets of data. But what if you are a small company without a lot of data? Or perhaps a large company with a new product line and no relevant sales data from existing customers? Not having enough data to cr
AkihitoK 2015/05/29
machine

learning
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ãƒ¯ãƒ³ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚’å¼·ã¿ã«ã™ã‚‹SaaSåž‹ERPã®ãƒ¯ãƒ¼ã‚¯ãƒ‡ã‚¤--æ©Ÿæ¢°å¦ç¿’ã§é›¢è·ãƒªã‚¹ã‚¯æ¸¬å®š
å°åˆ·ã™ã‚‹ ãƒ¡ãƒ¼ãƒ«ã§é€ã‚‹ ãƒ†ã‚ã‚¹ãƒˆ HTML é›»åæ›¸ç± PDF ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ ãƒ†ã‚ã‚¹ãƒˆ é›»åæ›¸ç± PDF ã‚¯ãƒªãƒƒãƒ—ã—ãŸè¨˜äº‹ã‚’Myãƒšãƒ¼ã‚¸ã‹ã‚‰èªã‚€ã“ã¨ãŒã§ãã¾ã™ SaaSå½¢å¼ã§äººäº‹ã‚„è²¡å‹™ãªã©ã®åŸºå¹¹æ¥å‹™ã‚·ã‚¹ãƒ†ãƒ ï¼ˆERPï¼‰ã‚’æä¾›ã™ã‚‹Workdayã®æ—¥æœ¬æ³•äººã¯5æœˆ26æ—¥ã€æ—¥æœ¬ã§ã®äº‹æ¥çŠ¶æ³ã‚’èª¬æ˜Žã™ã‚‹è¨˜è€…å‘ã‘ãƒ–ãƒªãƒ¼ãƒ•ã‚£ãƒ³ã‚°ã‚’é–‹å‚¬ã—ãŸã€‚æ©Ÿæ¢°å¦ç¿’ã‚’æ´»ç”¨ã—ãŸäººäº‹ã‚·ã‚¹ãƒ†ãƒ ã®æ–°æ©Ÿèƒ½ã‚‚ç´¹ä»‹ã—ã¦ã„ã‚‹ã€‚ ã¾ãŸã€ç±³å›½ã§ã¯åŒæ—¥ã«ã€æ—¥æœ¬ã®å¤§æ‰‹è£½é€ æ¥ãŒæ–°ãŸã«åŒç¤¾ã®ã‚µãƒ¼ãƒ“ã‚¹ã‚’æŽ¡ç”¨ã™ã‚‹ã“ã¨ã‚’ç™ºè¡¨ã™ã‚‹äºˆå®šã¨ã®ã“ã¨ã€‚ æ—¥æœ¬æ³•äººã®ä»£è¡¨å–ç· å½¹ç¤¾é•·ã‚’å‹™ã‚ã‚‹é‡‘ç¿°æ–°æ°ã¯ã€å›½å†…ã§ã®ãƒ•ã‚¡ãƒ¼ã‚¹ãƒˆãƒªãƒ†ã‚¤ãƒªãƒ³ã‚°ã«ã‚ˆã‚‹æŽ¡ç”¨ã‚’ãã£ã‹ã‘ã«ã€å•†è«‡ã®é€²ã¿å…·åˆãŒé£›èºçš„ã«è‰¯ããªã£ã¦ãã¦ã„ã‚‹ã¨è©±ã—ãŸã€‚æ—¥æœ¬ã§çµ¦ä¸Žè¨ˆç®—ã‚¢ã‚¦ãƒˆã‚½ãƒ¼ã‚·ãƒ³ã‚°äº‹æ¥ã‚’æ‰‹æŽ›ã‘ã‚‹ãƒšã‚¤ãƒãƒ¼ãƒ«ã¨5æœˆ12æ—¥ã«ã€ãƒ‘ãƒ¼ãƒˆãƒŠãƒ¼ã‚·ãƒƒãƒ—ã‚’ç· çµã—ãŸã“ã¨ã«ã‚‚è§¦ã‚ŒãŸã€‚ é‡‘æ°ã¯ã€Workdayã®å¼·ã¿ã«ã¤ã„ã¦ã€Œãƒ¦ãƒ¼ã‚¶ãƒ¼ä¼æ¥å…¨925ç¤¾
AkihitoK 2015/05/26
machine

learning

work
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Machine learning can predict emerging infectious diseases
AkihitoK 2015/05/21
machine

learning
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https://jp.techcrunch.com/2015/04/10/20150409aws-wants-to-put-machine-learning-in-reach-of-any-developer/
AkihitoK 2015/04/11
machine

learning
ãƒªãƒ³ã‚¯
Machine Learning Algorithm Mines 16 Billion E-Mails
Human e-mailing behavior is so predictable that computer scientists have created an algorithm that can calculate when an e-mail thread is about to end. Electronic mail plays a hugely important role in the lives of a large fraction of the worldâ€™s population. And yet, strangely, little is known about the way people use e-mail. How many e-mail conversations do people have? How long are these conversa
AkihitoK 2015/04/10
machine

learning
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Amazon Introduce Machine Learning. As A Service
AkihitoK 2015/04/10
machine

learning
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æ©Ÿæ¢°å¦ç¿’ã‹ã‚‰ç”Ÿã¾ã‚Œã‚‹ãƒ“ã‚¸ãƒã‚¹ãƒãƒ£ãƒ³ã‚¹ã¨ã¯ - æ—¥çµŒBigData
PFIçŸ¥çš„æƒ…å ±å‡¦ç†äº‹æ¥éƒ¨å‰¯äº‹æ¥éƒ¨é•·ã®æµ·é‡Žè£•ä¹Ÿã¨Gunosyå…±åŒå‰µè¨è€…å…¼R&Dã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®é–¢å–œå²æ° å¯¾è«‡ 2015.04.01æ‰æœ¬ æ˜å½¦ ã€ŒåŒã˜å‡ºæ¥äº‹ã‚’ã‚‚ã¨ã«ã—ãŸè¨˜äº‹ã§ã‚‚ã€é¢ç™½ã„è©±ã¨ã—ã¦æ›¸ãã®ã‹ã€æ„Ÿå‹•çš„ãªè©±ã¨ã—ã¦æ›¸ãã®ã‹ã«ã‚ˆã£ã¦ã€å…¨ãé•ã†ã‚‚ã®ã¨ã—ã¦èªã¾ã‚Œã‚‹ã€‚ç§é”ã¯å¤šãã®å ´åˆã€ã‚¿ã‚¤ãƒˆãƒ«ã‚’è¦‹ã‚‹ã ã‘ã§ã“ã®é•ã„ã‚’çŸ¥ã‚‹ã“ã¨ãŒã§ãã‚‹ãŒã€æ©Ÿæ¢°å¦ç¿’ã§ã“ã®ã‚ˆã†ãªã‚¸ãƒ£ãƒƒã‚¸ã‚’ã™ã‚‹ã“ã¨ã¯ã€ç¾çŠ¶é›£ã—ã„ã€ã€‚æ©Ÿæ¢°å¦ç¿’ã®ã‚¨ã‚ã‚¹ãƒ‘ãƒ¼ãƒˆ2äººãŒå…±é€šã«æŒã¤æ´»ç”¨ã¸ã®å°†æ¥å±•æœ›ã‚„èª²é¡Œæ„Ÿãªã©ã‚’èªžã£ãŸã€‚ æ©Ÿæ¢°å¦ç¿’ã€äººå·¥çŸ¥èƒ½ã€ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°â€¦ã€è¨€è‘‰ã°ã‹ã‚Šæ³¨ç›®ã‚’é›†ã‚ã‚‹ãŒå®Ÿéš›ä½•ãŒã§ãã‚‹ã®ã‹ã€ãã®èª²é¡Œã¯ã©ã“ã«ã‚ã‚‹ã®ã‹ã€‚æ©Ÿæ¢°å¦ç¿’ã‚’ãƒ™ãƒ¼ã‚¹ã«è‡ªç„¶è¨€èªžå‡¦ç†ã€ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‰æŠ€è¡“ã‚’ä¼æ¥ã«æä¾›ã™ã‚‹Preferred Infrastructureï¼ˆæ±äº¬éƒ½æ–‡äº¬åŒºï¼‰ã®çŸ¥çš„æƒ…å ±å‡¦ç†äº‹æ¥éƒ¨ å‰¯äº‹æ¥éƒ¨é•·ã§ã‚ã‚‹æµ·é‡Žè£•ä¹Ÿæ°ã¨ã€æ©Ÿæ¢°å¦ç¿’ã«ã‚ˆã£ã¦ãƒ‹ãƒ¥ãƒ¼ã‚¹ã‚ãƒ¥ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã‚¢ãƒ—ãƒªã§é…ä¿¡ã™
AkihitoK 2015/04/03
machine

learning
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Tapping into Business Insights with Machine Learning - insideAI News
AkihitoK 2015/04/03
machine

learning
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Facebook AI Software Learns and Answers Questions
Software able to read a synopsis of Lord of the Rings and answer questions about it could beef up Facebook search. Facebook is working on artificial intelligence software that can process text and then answer questions about it. The effort could eventually lead to anything from better search on Facebook itself to more accurate and useful personal assistant software. The social networkâ€™s chief tech
AkihitoK 2015/03/28
machine

learning
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Researchers use A.I. to reimagine health care
Machine learning can cull through big data to find information doctors need to better treat patients Two patients receiving the same treatment for breast cancer may be entirely different in significant ways. One may be a marathon runner, the other a more sedate reader. One might be a smoker, while the other is considered a health nut. One may be in her 60s while the other just turned 40. With all
AkihitoK 2015/03/24
machine

learning

health
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INTELLIGENTUTILITY.COM might be for sale. Request the price today.
AkihitoK 2015/03/23
machine

learning
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Pinterest built machine learning 'Pinnability' to surface more relevant content | ZDNet
Pinterest built machine learning 'Pinnability' to surface more relevant content Get ready for more content in line with your interest (or at least pins) if a new homegrown effort from Pinterest works out. Rachel King Staff Writer Rachel King is a staff writer for CBS Interactive based in San Francisco, covering business and enterprise techno logy for ZDNet, CNET and SmartPlanet. She has previously
AkihitoK 2015/03/21
machine

learning
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Life Lessons from Machine Learning
What comes to mind when you hear the term â€œMachine Learningâ€? A bunch of programmers hunched over their computers in a dark room, working on something completely virtual & divorced from reality? A group of scientists creating a Frankenstein monster that has no resem blance to us whatsoever? It may certainly seem that way, but youâ€™d be wrong. The accomplishments of Machine Learning (Self-driving car
AkihitoK 2015/03/21
machine

learning
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The Future of Machine Learning from the Inside Out â€” Talking Machines
We hear the second part of our conversation with with Geoffrey Hinton (Google and University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook and NYU). They talk with us about this history (and future) of research on neural nets. We explore how to use Determinantal Point Processes. Alex Kulesza Â and Ben TaskarÂ (who passed away recently) have done some really exciting wo
AkihitoK 2015/03/21
machine

learning
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