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Machine Learning for Email

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出版日:2015/01/01 作者:John C. Peterson; Robert D. Smith  出版社:Cengage Learning  裝訂:平裝
Reflecting the latest technology and tools of the trade, MATHEMATICS FOR MACHINE TECHNOLOGY, 7e provides the mathematical skills and practice that students and apprentices will use on the job in the m
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出版日:1998/05/01 作者:Ryszard S. Michalski (EDT); Miroslav Kubat (EDT); Ivan Bratko (EDT)  出版社:John Wiley & Sons Inc  裝訂:精裝
Master the new computational tools to get the most out of your information system. This practical guide, the first to clearly outline the situation for the benefit of engineers and scientists, pro
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出版日:2015/09/22 作者:Pedro Domingos  出版社:Basic Books  裝訂:精裝
Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning aboutand solvingan extraordinary range of problems, from the mundane to the most d
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出版日:2016/09/15 作者:Michael Bowles  出版社:碁峰資訊  裝訂:平裝
內容簡介:以簡單有效率的方式分析資料與預測結果 機器學習的目的是預測,使用你已經知道的來預測你想要知道的—根據這兩者之間的歷史關係。它的核心是一種數學 / 演算法技術,你需要深入瞭解數學與統計學概念,並熟悉 R 與其他專用語言。本書為廣大的讀者簡化機器學習技術,把焦點放在兩種可以有效地預測結果的演算法族群,告訴你如何透過熱門且容易上手的 Python 程式語言來使用它們。 作者 Michael B
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出版日:2016/08/05 作者:佩德羅.多明戈斯-作; 謝孫源 審訂  出版社:三采文化  裝訂:精裝
★CNN、《新科學人》、《經濟學人》、《柯克斯書評》等多家媒體推薦報導★比爾.蓋茲年度選書!揭開大數據、人工智慧、機器學習的祕密,打造人類文明史上最強大的科技——終極演算法!有一個終極演算法,可以解開宇宙所有的祕密,現在大家都在競爭,誰能最先解開它!.機器學習是什麼?大演算又是什麼?.大演算如何運作與發展,機器可以預測什麼?.我們可以信任機器學過的東西嗎?.商業、政治為什麼要擁抱機器學習?.不只商
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出版日:2011/03/01 作者:Neal Bascomb  出版社:Crown Publishers  裝訂:精裝
That Monday afternoon, in high-school gyms across America, kids were battling for the only glory American culture seems to want to dispense to the young these days: sports glory.? But at Dos Pueblos High School in Goleta, California, in a gear-cluttered classroom, a different type of “cool” was brewing.? A physics teacher with a dream – the first public high-school teacher ever to win a MacArthur Genius Award -- had rounded up a band of high-I.Q. students who wanted to put their technical know-how to work.? If you asked these brainiacs what the stakes were that first week of their project, they’d have told you it was all about winning a robotics competition – building the ultimate robot and prevailing in a machine-to-machine contest in front of 25,000 screaming fans at Atlanta’s Georgia Dome.?But for their mentor, Amir Abo-Shaeer, much more hung in the balance. ?The fact was, Amir had in mind a different vision for education, one based not on rote learning -- on absorbing facts and fig
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