数据天才 数据科学家修炼之道 = Developing analytic talent : becoming a data scientist 🔍
(美)文森特·格兰维尔(Vincent Granville)著;吴博,张晓峰,季春霖译
电子工业出版社, Di 1 ban, Beijing, 2017
中文 [zh] · EPUB · 2.3MB · 2017 · 📘 非小说类图书 · 🚀/lgli/zlib · Save
描述
Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.
备用文件名
zlib/no-category/(美)文森特·格兰维尔(Vincent Granville)著;吴博,张晓峰,季春霖译/数据天才:数据科学家修炼之道_17947747.epub
备选作者
(美)Vincent Granville著 ; 吴博, 张晓峰, 季春霖译; 格兰维尔; Anville Gr; 吴博; 张晓峰; 季春霖
备选作者
Granville, Vincent (Ph. D.)
备选作者
Vincent Granville, Ph.D
备用出版商
Publishing House of Electronics Industry
备用出版商
John Wiley & Sons, Incorporated
备用版本
John Wiley & Sons, Inc. (trade), Indianapolis, IN, 2014
备用版本
EBL-Schweitzer, 1., Auflage, New York, NY, 2014
备用版本
United States, United States of America
备用版本
China, People's Republic, China
备用版本
Indianapolis (IN), cop. 2014
备用版本
1st, 2014
元数据中的注释
Includes index.
备用描述
本书有3个组成部分:一是多层次地讨论数据科学是什么,以及数据科学涉及哪些其他学科;二是数据科学的技术应用层面,包括教程和案例研究;三是给正在从业和有抱负的数据科学家介绍一些职业资源。《数据天才:数据科学家修炼之道》中有很多职业和培训相关资源(如数据集、网络爬虫源代码、数据视频和如何编写API),所以借助《数据天才:数据科学家修炼之道》,你现在就可以开始数据科学实践,并快速地提升你的职业水平
备用描述
本书有3个组成部分: 一是多层次地讨论数据科学是什么, 以及数据科学涉及哪些其他学科;二是数据科学的技术应用层面, 包括教程和案例研究;三是给正在从业和有抱负的数据科学家介绍一些职业资源
开源日期
2021-10-29
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OCLC 'From Filename':
w2/v7/3528/352884698
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/4710/471063990
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/6401/640168720
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/8906/890674892
网站: /datasets/oclc
OCLC 'From Filename':
w2/v7/9734/973401421
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v3/1047/104704475
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v3/1144/114485891
网站: /datasets/oclc
OCLC Holdings:
1
Number of library holdings (for all editions) reported by OCLC/WorldCat metadata. 'many' means 20 or more.
网站: /datasets/oclc
代码浏览器: 在代码浏览器中查看“oclc_holdings:1”
OCLC Holdings+Editions (to find rare books):
1/1
<number of oclc_holdings>/<number of oclc_editions>. If both numbers are low (but not zero) this might be a rare book.
网站: /datasets/oclc
OCLC Holdings (from search_holdings_all_editions_response):
0
网站: /datasets/oclc
OCLC Holdings (from search_holdings_summary_all_editions):
1
网站: /datasets/oclc
OCLC ISBNs+Holdings+Editions (to find rare books):
2/1/1
网站: /datasets/oclc
Open Library:
OL19982454W
代码浏览器: 在代码浏览器中查看“ol:OL19982454W”
Open Library:
OL27162588M
代码浏览器: 在代码浏览器中查看“ol:OL27162588M”
Open Library Source Record:
bwb:9781118810088
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
harvard_bibliographic_metadata/ab.bib.14.20150123.full.mrc:368728504:1191
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
marc_loc_2016/BooksAll.2016.part41.utf8:135256277:1189
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
marc_openlibraries_sanfranciscopubliclibrary/sfpl_chq_2018_12_24_run05.mrc:66383466:2147
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
promise:bwb_daily_pallets_2023-05-10:O9-ADJ-834
The code for a source record that Open Library imported from.
网站: /datasets/ol
Server Path:
g1/zlib2/pilimi-zlib2-17860000-17949999/17947747
Path on Anna’s Archive partner servers.
Torrent:
managed_by_aa/zlib/pilimi-zlib2-17860000-17949999.torrent
Bulk torrent for long-term preservation.
网站: /torrents
Z-Library:
17947747
ID in Z-Library.
URL: https://z-lib.gd/
网站: /datasets/zlib
代码浏览器: 在代码浏览器中查看“zlib:17947747”
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