| 書目名稱 | Computing with Data | | 副標(biāo)題 | An Introduction to t | | 編輯 | Guy Lebanon,Mohamed El-Geish | | 視頻video | http://file.papertrans.cn/235/234824/234824.mp4 | | 概述 | Links to an online, user-friendly website to edit and run the book’s plethora of code examples.Presents principles that can be employed in applications ranging from software simulations to real-world | | 圖書封面 |  | | 描述 | .This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics...The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge...Computing with Data. comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Data science; Learn R; Data mining; Big data; Python for data scientists; Java for data scientists; Engine | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-98149-9 | | isbn_ebook | 978-3-319-98149-9 | | copyright | Springer Nature Switzerland AG 2018 |
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