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The MIT Press Essential Knowledge series offers accessible, concise, beautifully produced pocket-size books on topics of current interest. Written by leading thinkers, the books in this series deliver expert overviews of subjects that range from the cultural and the historical to the scientific and

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Data Science

Data Science (The MIT Press Essential Knowledge) By 作者: John D. Kelleher – Brendan Tierney ISBN-10 书号: 0262535432 ISBN-13 书号: 9780262535434 出版日期: 2018-04-13 pages 页数: 280 A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current

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[Agile.Data.Science(2013.10)].Russell.Jurney.文字版.pdf

Agile Data Science is a course to help big data beginners and budding data scientists to become productive members of data science and analytics teams. It aims to help engi‐ neers, analysts, and data scientists work with big data in an agile way using Hadoop. It introduces an agile methodology well

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Data Science (The MIT Press Essential Knowledge) 1st

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines

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Java for Data Science

Java for Data Science English | 6 Feb. 2017 | ISBN: 1785280112 Key Features Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine

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Data Science with Java: Practical Methods for Scientists and Engineers

Data Science with Java: Practical Methods for Scientists and Engineers by PhD Michael R. Brzustowicz English | 6 Jun. 2017 | ASIN: B072MKRQBQ | 236 Pages | AZW3 | 2.78 MB Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to to

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