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by 吳俊逸 2019-09-03 12:35:37, Reply(0), Views(27)
REF: https://buzzorange.com/techorange/2019/09/01/salary-of-data-analyst/?utm_source=feedburner&utm_medium=email&utm_campaign=Feed%3A+techorange+%28TechOrange%29自 2012 年起,一直被稱為「最性感的工作」的數據科學家職位,吸引了大批遠渡重洋到達矽谷,做著「數據夢」的留學生們。
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by 吳俊逸 2019-08-27 10:21:25, Reply(0), Views(35)
本文作者:Michael Rau,科睿唯安智慧財產技術服務總監,美國註冊專利律師
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by 吳俊逸 2019-08-25 14:40:25, Reply(0), Views(39)
人工智慧:如何以電腦解決問題1950 年代的電腦科學方起步,從科學家到一般大眾都對於電腦充滿無盡的想像,不但從大導演弗裡茨・朗的《大都會》到作家艾西莫夫的機器人三大法則,主流科學界也都預估,約莫 20 到 30 年左右的時間便可以成功創造出與人類同樣高度的人工智慧。
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by 吳俊逸 2019-08-24 23:08:56, Reply(0), Views(29)
DeepMind Technologies is a UK-based AI company. It was founded in 2010 by Demis Hassabis, Shane Legg and Mustafa Suleyman, and was acquired by Google in 2014 for £400 million so it is now part o
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by 吳俊逸 2019-07-01 13:17:51, Reply(0), Views(82)
https://techcrunch.com/2019/06/27/mits-new-interactive-machine-learning-prediction-tool-could-give-everyone-ai-superpowers/Soon, you might not need anything more specialized than a readily accessible touchscreen device and any existing data sets you have access to in order to build powerful prediction tools. A new experiment from MIT and Brown Universityresearchers have added a capability to their ‘Northstar’ interactive data system that can “instantly generate machine-learning models” to use with their exiting data sets in order to generate useful predictions.
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by 吳俊逸 2019-01-05 15:59:13, Reply(0), Views(384)
REF: https://udn.com/news/story/6871/3537183人工智慧在大型國際企業裡的應用,包含產品、流程和宣傳三個層面。在產品和服務方面,企業可以利用AI 打造用戶的黏著度,提升軟硬體產品及服務的競爭力;流程方面,通過AI的優化與規劃,可改善製造、CRM、物流、營銷等各方面流程,有效降低企業成本;最後則是AI的宣傳效果,通過AI產品可提高企業及品牌感知度,甚至提振公司股價。觀察大陸市場的營運狀況可發現,除了聯想之外,Google、微軟、百度、騰訊、蘋果、華為、小米、IBM等國際大公司都在積極布局人工智慧,以協助公司變革轉型。
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by 吳俊逸 2018-07-24 09:54:03, Reply(0), Views(359)
https://www.mobility-work.com/blog/5-corrective-and-preventive-maintenance-levels-you-need-learn-about
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by 吳俊逸 2018-07-24 09:50:56, Reply(0), Views(389)
https://www.kdnuggets.com/2018/07/comparison-top-6-python-nlp-libraries.html#.W1Yd5Eh7vcw.linkedin
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by 吳俊逸 2018-06-28 09:36:32, Reply(0), Views(543)
https://www.kdnuggets.com/2018/05/general-approaches-machine-learning-process.htmlI actually came across Guo's article by way of first watching a video of his on YouTube, which came recommended after an afternoon of going down the Google I/O 2018 video playlist rabbit hole. The post is the same content as the video, and so if interested one of the two resources will suffice.
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by 吳俊逸 2018-06-27 09:45:51, Reply(0), Views(674)
http://www.ineews.com/zh-tw/377640/何為預測性維護策略?簡而言之就是藉助演演算法分析檢測故障發生前的機械狀態,並預測故障發生的時間。除此之外,還能夠確定可延長機械使用壽命的主動性任務類型。預測性維護作為一個新興市場,因為維護策略從所謂的事後控制方式轉移到通過分析和啟用預測性維護來解決問題,無疑向我們展示了一個就發展潛力的市場。在這個市場中,IoT平台商、低成本的安全雲存儲廠商以及提供動態數據模型的分析供應商扮演著至關重要的角色,發揮著越來越大的作用。
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