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How to talk to data scientists, Jeremy


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Автор: Jeremy
Название:  How to talk to data scientists
ISBN: 9781637420973
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1637420978
Обложка/Формат: Paperback
Страницы: 150
Вес: 0.18 кг.
Дата издания: 30.08.2021
Язык: English
Размер: 22.86 x 15.24 x 0.71 cm
Ключевые слова: Artificial intelligence,Information technology industries,Management & management techniques, BUSINESS & ECONOMICS / Industries / Computers & Information Technology,BUSINESS & ECONOMICS / Management,COMPUTERS / Intelligence (AI) & Semantics
Подзаголовок: A guide for executives
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Поставляется из: Англии
Описание: Every major company has or will soon have a data science program. Most fail, expensively, imperiling their executive sponsors. Unfortunately, executives have been misled to focus on the latest buzzwords. Although buzzwords change—big data, data science, machine learning, deep learning, and artificial intelligence –the distraction from fundamentals manifests as a predictable trajectory from exuberant program launch, to stagnation, to awkward decommissioning.After architecting data science programs at over a dozen companies, across sectors and scales, Dr. Elser has formulated a reliable framework for successful data science programs. Surprisingly, software and algorithms are secondary. Rather, the key is understanding how the available data aligns to the problem to be solved. The business executive understands the problem sufficiently to enforce this alignment, while data scientists act on it. But executives tend to underestimate their role and thereby fail to construct the necessary connective tissue with their data scientists.This book provides business executives with a concrete exercise, populating a Master Table, accessible to nontechnical managers and data scientists, which serves as the connective tissue between them. Rather than teach a diluted version of data science, this book describes how to start projects and how to detect and fix problems—the moments when leadership is critical. Insights are provided through real world examples, including a Playbook featuring common projects. The intended audience is executives (C-suite through VP). However, ambitious mid-level managers and data scientists will also benefit.
Дополнительное описание: Management and management techniques|Artificial intelligence|Information technology industries



The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Data Science

Автор: Qinglei Zhou; Qiguang Miao; Hongzhi Wang; Wei Xie;
Название: Data Science
ISBN: 9811322058 ISBN-13(EAN): 9789811322051
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This two volume set (CCIS 901 and 902) constitutes the refereed proceedings of the 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018 (originally ICYCSEE) held in Zhengzhou, China, in September 2018. The 125 revised full papers presented in these two volumes were carefully reviewed and selected from 1057 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including mathematical issues in data science, computational theory for data science, big data management and applications, data quality and data preparation, evaluation and measurement in data science, data visualization, big data mining and knowledge management, infrastructure for data science, machine learning for data science, data security and privacy, applications of data science, case study of data science, multimedia data management and analysis, data-driven scientific research, data-driven bioinformatics, data-driven healthcare, data-driven management, data-driven eGovernment, data-driven smart city/planet, data marketing and economics, social media and recommendation systems, data-driven security, data-driven business model innovation, social and/or organizational impacts of data science.

Intelligent systems for engineers and scientists

Автор: Hopgood, Adrian A.
Название: Intelligent systems for engineers and scientists
ISBN: 1032126760 ISBN-13(EAN): 9781032126760
Издательство: Taylor&Francis
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Цена: 9186.00 р.
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Описание: The thoroughly updated fourth edition features new coverage of deep learning algorithms. Using clear and concise language, it explains the principles of artificial intelligence (AI) and its practical applications. It gives engineers and scientists a solid grounding in AI so that its they can implement systems in their own domain of interest.

Proof Complexity

Автор: Jan Krajicek
Название: Proof Complexity
ISBN: 1108416845 ISBN-13(EAN): 9781108416849
Издательство: Cambridge Academ
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Цена: 21384.00 р.
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Описание: Proof complexity is a rich subject drawing on methods from logic, combinatorics, algebra and computer science. This self-contained book presents the basic concepts, classical results, current state of the art and possible future directions in the field. Suitable for doctoral students and researchers in mathematics and theoretical computer science.

Visual Analytics for Data Scientists

Автор: Andrienko Natalia, Andrienko Gennady, Fuchs Georg
Название: Visual Analytics for Data Scientists
ISBN: 3030561453 ISBN-13(EAN): 9783030561451
Издательство: Springer
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Цена: 9083.00 р.
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Описание: The second part of the book describes visual analytics methods and workflows, organised by various data types including multidimensional data, data with spatial and temporal components, data describing binary relationships, texts, images and video.

Data Science

Автор: Beiji Zou; Min Li; Hongzhi Wang; Xianhua Song; Wei
Название: Data Science
ISBN: 9811063842 ISBN-13(EAN): 9789811063848
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017.

The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, D

ata-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Business Model Innovation, Social and/or organizational impacts of Data Science.

Data Science

Автор: Zhou
Название: Data Science
ISBN: 9811322023 ISBN-13(EAN): 9789811322020
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This two volume set (CCIS 901 and 902) constitutes the refereed proceedings of the 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018 (originally ICYCSEE) held in Zhengzhou, China, in September 2018.

The 125 revised full papers presented in these two volumes were carefully reviewed and selected from 1057 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including mathematical issues in data science, computational theory for data science, big data management and applications, data quality and data preparation, evaluation and measurement in data science, data visualization, big data mining and knowledge management, infrastructure for data science, machine learning for data science, data security and privacy, applications of data science, case study of data science, multimedia data management and analysis, data-driven scientific research, data-driven bioinformatics, data-driven healthcare, data-driven management, data-driven eGovernment, data-driven smart city/planet, data marketing and economics, social media and recommendation systems, data-driven security, data-driven business model innovation, social and/or organizational impacts of data science.

Data Science

Автор: Xiaohui Cheng; Weipeng Jing; Xianhua Song; Zeguang
Название: Data Science
ISBN: 9811501173 ISBN-13(EAN): 9789811501173
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.

Data Science: 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021, Taiyuan, China,

Автор: Zeng Jianchao, Qin Pinle, Jing Weipeng
Название: Data Science: 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021, Taiyuan, China,
ISBN: 9811659427 ISBN-13(EAN): 9789811659423
Издательство: Springer
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021.The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions.

Real world ai ethics for data scientists

Автор: Goltz, Nachshon (sean) Dowdeswell, Tracey
Название: Real world ai ethics for data scientists
ISBN: 1032275057 ISBN-13(EAN): 9781032275055
Издательство: Taylor&Francis
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Цена: 6583.00 р.
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Описание: In the midst of the 4th industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists. This book seeks to shape, in a practical, diverse and inclusive way, the ethical compass of those entrusted with big data.

Data Science

Автор: Wang
Название: Data Science
ISBN: 9811952086 ISBN-13(EAN): 9789811952081
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022. The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on: Big Data Management and Applications; Data Security and Privacy; Applications of Data Science; Infrastructure for Data Science; Education Track; Regulatory Technology in Finance.

Data Science

Автор: Rui Mao; Hongzhi Wang; Xiaolan Xie; Zeguang Lu
Название: Data Science
ISBN: 9811501203 ISBN-13(EAN): 9789811501203
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.


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