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Data Analytics Applications In Law, 


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Цена: 12707.00р.
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Название:  Data Analytics Applications In Law
ISBN: 9781498766654
Издательство: Taylor&Francis
Классификация:

ISBN-10: 149876665X
Обложка/Формат: Hardback
Страницы: 227
Вес: 0.49 кг.
Дата издания: 24.07.2018
Серия: Data analytics applications
Язык: English
Иллюстрации: 30 illustrations, black and white
Размер: 162 x 240 x 20
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Databases, COMPUTERS / Databases / General,COMPUTERS / Databases / Data Mining,LAW / Criminal Law / General
Основная тема: Databases
Подзаголовок: Data analytics and the new legal services
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: For increasingly data-savvy clients, lawyers can no longer give it depends answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However, on balance, clients would rather have the considered judgment of an experienced lawyer informed by the most relevant information required to answer their questions.

Data-Driven Law: Data Analytics and the New Legal Services helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. Its chapters are written by leading experts who cover such topics as:

  • Mining legal data
  • Computational law
  • Uncovering bias through the use of Big Data
  • Quantifying the quality of legal services
  • Data mining and decision-making
  • Contract analytics and contract standards

In addition to providing clients with data-based insight, legal firms can track a matter with data from beginning to end, from the marketing spend through to the type of matter, hours spent, billed, and collected, including metrics on profitability and success. Firms can organize and collect documents after a matter and even automate them for reuse. Data on marketing related to a matter can be an amazing source of insight about which practice areas are most profitable.

Data-driven decision-making requires firms to think differently about their workflow. Most firms warehouse their files, never to be seen again after the matter closes. Running a data-driven firm requires lawyers and their teams to treat information about the work as part of the service, and to collect, standardize, and analyze matter data from cradle to grave. More than anything, using data in a law practice requires a different mindset about the value of this information. This book helps legal professionals to develop this data-driven mindset.




Core principles and applications of Corporate Finance, global edition

Автор: Ross Stephen
Название: Core principles and applications of Corporate Finance, global edition
ISBN: 0071221166 ISBN-13(EAN): 9780071221160
Издательство: McGraw-Hill
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Цена: 8578.00 р.
Наличие на складе: Поставка под заказ.

Описание: Conveys important corporate finance concepts and applications. This text distills the subject of corporate finance down to its core, while also maintaining a decidedly modern approach.

Electrophoresis in Practice: A Guide to Methods and Applications of DNA and Protein Separations, 4th, Revised and Updated Edition

Автор: Reiner Westermeier
Название: Electrophoresis in Practice: A Guide to Methods and Applications of DNA and Protein Separations, 4th, Revised and Updated Edition
ISBN: 3527311815 ISBN-13(EAN): 9783527311811
Издательство: Wiley
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Цена: 10164.00 р. 14520.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: This laboratory guide for successful electrophoretic separations is divided into two parts to provide readers with a thorough presentation of the fundamentals followed by a detailed description of the most common methods currently in use. This fourth edition retains the successful concept of its predecessors, yet features a brand--new layout, and is further enhanced by a section on difference gel electrophoresis, while the chapter on proteome analysis is practically all new and considerably extended, plus there are now around 10 per cent new literature references.

Real analysis with economic applications

Автор: Ok, E.
Название: Real analysis with economic applications
ISBN: 0691117683 ISBN-13(EAN): 9780691117683
Издательство: Wiley
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Цена: 17266.00 р.
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Описание: Addressing the topics of real analysis, this book discusses the elements of order theory, convex analysis, optimization, correspondences, linear and nonlinear functional analysis, fixed-point theory, dynamic programming, and calculus of variations. It includes fixed point theorems and applications to functional equations and optimization theory.

Elementary probability for applications

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
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Цена: 10611.00 р.
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Описание: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.

Correlated Data Analysis: Modeling, Analytics, and Applications

Автор: Peter X. -K. Song
Название: Correlated Data Analysis: Modeling, Analytics, and Applications
ISBN: 144192440X ISBN-13(EAN): 9781441924407
Издательство: Springer
Цена: 21661.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Thisbook, likemanyotherbooks, wasdeliveredundertremendousinspiration and encouragement from my teachers, research collaborators, and students. My interest in longitudinal data analysis began with a short course taught jointly by K. Y. Liang and S. L. Zeger at the Statistical Society of Canada Conference in Acadia University, Nova Scotia, in the spring of 1993. At that time, I was a ?rst-year PhD student in the Department of Statistics at the University of British Columbia, and was eagerly seeking potential topics for my PhD dissertation. It was my curiosity (driven largely by my terrible c- fusion) with the generalized estimating equations (GEEs) introduced in the short course that attracted me to the ?eld of correlated data analysis. I hope that my experience in learning about it has enabled me to make this book an enjoyable intellectual journey for new researchers entering the ?eld. Thus, the book aims at graduate students and methodology researchers in stat- tics or biostatistics who are interested in learning the theory and methods of correlated data analysis. I have attempted to give a systematic account of regression models and their applications to the modeling and analysis of correlated data. Longitu- nal data, as an important type of correlated data, has been used as a main venue for motivation, methodological development, and illustration throu- out the book. Given the many applied books on longitudinal data analysis - ready available, this book is inclined more towards technical details regarding the underlying theory and methodology used in software-based application

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
Рейтинг:
Цена: 17741.00 р.
Наличие на складе: Поставка под заказ.

Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Data Analytics Applications

Название: Data Analytics Applications
ISBN: 149876276X ISBN-13(EAN): 9781498762762
Издательство: Taylor&Francis
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Цена: 19140.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is about the application of analytics processes to organizations in Latin American and emerging economies. The selected cases illustrate the steps in the analytics knowledge process, including strategic and tactical actions. The book demonstrates that analytics is for organizations of any size and for developing markets.

Pharmacognosy: Fundamentals, Applications and Strategies 1st Edition : Elsevier Science.- ISBN 9780128021040 СОЕДИНЕННОЕ КОРОЛЕВСТВО

Автор: Badal Mccreath, Simone and Rupika Delgoda
Название: Pharmacognosy: Fundamentals, Applications and Strategies 1st Edition : Elsevier Science.- ISBN 9780128021040 СОЕДИНЕННОЕ КОРОЛЕВСТВО
ISBN: 0128021047 ISBN-13(EAN): 9780128021040
Издательство: Elsevier Science
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Цена: 19875.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Pharmacognosy: Fundamentals, Applications and Strategies explores a basic understanding of the anatomy and physiology of plants and animals, their constituents and metabolites. This book also provides an in-depth look at natural sources from which medicines are derived, their pharmacological and chemical properties, safety aspects, and how they interact with humans.

The book is vital for future research planning, helping readers understand the makeup, function, and metabolites of plants in a way where the history of their usage can be linked to current drug development research, including in vitro, in vivo, and clinical research data.

By focusing on basic principles, current research, and global trends, this book provides a critical resource for students and researchers in the areas of pharmacognosy, pharmacy, botany, medicine, biotechnology, biochemistry, and chemistry.

  • Covers the differences between animal and plant cells to facilitate an easier transition to how the body interacts with these entities
  • Contains practice questions at the end of every chapter to test learning and retention
  • Provides a single source that covers fundamental topics and future strategies, with the goal of enabling further research that will contribute to the overall health and well-being of mankind
Power Electronics: Converters, Applications, and Design, 3rd Edition

Автор: Ned Mohan
Название: Power Electronics: Converters, Applications, and Design, 3rd Edition
ISBN: 0471226939 ISBN-13(EAN): 9780471226932
Издательство: Wiley
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Цена: 43077.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Gives a cohesive presentation of power electronics fundamentals for applications and design in the power range of 500 kW or less. Describes a variety of practical and emerging power electronic converters made feasible by the new generation of power semiconductor devices.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 13543.00 р.
Наличие на складе: Нет в наличии.

Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.


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