Murphy`s Law, Vol. One: So That Happened: Essays, Reviews, Etc., Murphy Sean G.
Автор: Murphy Sean Название: Punk Rock Jesus ISBN: 1401237681 ISBN-13(EAN): 9781401237684 Издательство: Random House (USA) Рейтинг: Цена: 9110.00 T Наличие на складе: Невозможна поставка. Описание: J2 causes both outrage and adulation. Religious zealots either love or hate the show, angry politicians worry about its influence on the nation, and members of the scientific community fear the implications of cloning a human being at all, let alone the Son of God.
Автор: Murphy, Sean Название: Punk Rock Jesus Deluxe Edition ISBN: 1401251463 ISBN-13(EAN): 9781401251468 Издательство: Random House (USA) Рейтинг: Цена: 21450.00 T Наличие на складе: Невозможна поставка. Описание: "Murphy has constructed a compelling, searching, and important tale that embraces some of the biggest questions of our day, and he does so using incredibly energetic art with dynamic, elastic compositional approaches."--"Publishers Weekly Starred Review""Punk Rock Jesus is amazing. The series has been incredible right from the beginning and it ends in a spectacular fashion. It's brilliant and heartbreaking, epic and emotional.... This is book that makes you think. If you haven't been reading Punk Rock Jesus, you owe it yourself to pick up the collected addition when it releases this spring. Don't miss one of the best series of 2012."--"IGN""Sean's work is flawless.... Punk Rock Jesus is the best kind of scifi--a meditation on liberty for the cyber-age."--"Popmatters" "Sean Murphy's Punk Rock Jesus belongs in the same league as Watchmen, it's a complete game changer."--"Craveonline"
Despite the excitement around data science, big data, and analytics, the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking.
Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths.
This report describes:
Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers
Cases in miscommunication between data scientists and organizations looking to hire
Why T-shaped data scientists have an advantage in breadth and depth of skills
How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists
Автор: Cunningham Daniel, Everton Sean, Murphy Philip Название: Understanding Dark Networks: A Strategic Framework for the Use of Social Network Analysis ISBN: 1442249447 ISBN-13(EAN): 9781442249448 Издательство: Rowman & Littlefield Publishers Рейтинг: Цена: 87290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Written in an accessible manner, this book provides an introduction to Social Network Analysis (SNA), presenting tools and concepts, and showing how SNA can inform the crafting of a wide array of strategies for the tracking and disrupting of dark networks (illegal and covert networks that analysts must track, identify, and dismantle).
Автор: Cunningham Daniel, Everton Sean, Murphy Philip Название: Understanding Dark Networks: A Strategic Framework for the Use of Social Network Analysis ISBN: 1442249439 ISBN-13(EAN): 9781442249431 Издательство: Rowman & Littlefield Publishers Рейтинг: Цена: 154880.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Written in an accessible manner, this book provides an introduction to Social Network Analysis (SNA), presenting tools and concepts, and showing how SNA can inform the crafting of a wide array of strategies for the tracking and disrupting of dark networks (illegal and covert networks that analysts must track, identify, and dismantle).
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