Автор: Kishimoto Masashi Название: Naruto: The Official Character Data Book ISBN: 1421541254 ISBN-13(EAN): 9781421541259 Издательство: Viz Media Рейтинг: Цена: 2638.00 р. Наличие на складе: Есть (3 шт.) Описание: A ninja knows all, and now you can too - all the intel on who`s who in Naruto!
Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.
More teens are turning away from the faith than ever before: it is estimated that 75 to 88 percent of Christian teens walk away from Christianity by the end of their freshman year of college. Something must be done.
Family Driven Faith equips Christian parents with the tools they need to raise children biblically in a post-Christian, antifamily society. Voddie Baucham, who with his wife has overcome a multigenerational legacy of broken and dysfunctional homes, shows that God has not left us alone in raising godly children.
This bold book is an urgent call to parents--and the church--to return to biblical discipleship in and through the home. This paperback edition includes a new preface and a study guide to facilitate interaction in small-group settings and to help parents put principles into practice.
Автор: Keith R. Holdaway Название: Enhance Oil & Gas Exploration with Data-Driven Geo physical and Petrophysical Models ISBN: 1119215102 ISBN-13(EAN): 9781119215103 Издательство: Wiley Рейтинг: Цена: 8316.00 р. 11880.00-30% Наличие на складе: Есть (1 шт.) Описание: Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data.
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Описание: Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods.Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.
Автор: Kutz J Nathan Название: Data-Driven Modeling & Scientific Computation ISBN: 0199660344 ISBN-13(EAN): 9780199660346 Издательство: Oxford Academ Рейтинг: Цена: 8754.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.
Drive your business data to its maximum potential with proven strategies and practical advice
The organizations that harness the power of data to transform their businesses will be the market leaders. You can be sure that your competitors will be looking for insights in their data to drive them ahead and that the disruptors in your sector will be data driven. Data, if used correctly, has the power to transform your business and make you the market leader.
Data Driven Business Transformation is the practical guide to harnessing your data to compete and thrive in today's dynamic marketplace. This essential resource provides the insight, knowledge and focus you require to transform your business - unlocking the power of data and revealing its hidden value. Delivering step-by-step instructions to every stage of data transformation, this book enables you to strengthen your data literacy and make effective data-driven decisions. Real-world examples of successful data transformations and lessons from people operating in the current data environment provide you with the vision and insight to transform your business.
The digital revolution has proven challenging for many businesses. Once viewed as the solution, technology is oftentimes the problem - driving business online but failing to exploit the data to drive operations and value. Authors Peter Jackson and Caroline Carruthers draw from their practical experience as Chief Data Officers to present strategies and methods to unleash the transformational power of data. Emphasising data over digitalisation using data practise and data science, this unique book will assist you to:
Follow concise and pragmatic steps to transition your business to a data-driven model
Apply transformative data principles to any stage of business development
Change the culture of your organisation and place data at the heart of your business
Learn from practicing Chief Data Officers recognized as leaders in the area of data transformation
Data Driven Business Transformation: How businesses can disrupt, innovate and stay ahead of the competition is a vital source of guidance for CEOs, Boards, CTOs, CDOs, data change practitioners, programme managers and others in pursuit of data-driven achievement.
Автор: Andy Kirk Название: Data Visualisation: A Handbook for Data Driven Design ISBN: 1526468921 ISBN-13(EAN): 9781526468925 Издательство: Sage Publications Рейтинг: Цена: 7602.00 р. Наличие на складе: Поставка под заказ.
Описание: With over 200 images and extensive how-to and how-not-to examples, the new edition of the book The Financial Times voted one of the `six best books for data geeks` has everything students and scholars need to understand and create effective data visualisations.
How the data revolution is transforming biotech and health care, especially in the wake of COVID-19--and why you can't afford to let it pass you by
We are living through a time when the digitization of health and medicine is becoming a reality, with new abilities to improve outcomes for patients as well as the efficiency and success of the organizations that serve them. In The Patient Equation, Glen de Vries presents the history and current state of life sciences and health care as well as crucial insights and strategies to help scientists, physicians, executives, and patients survive and thrive, with an eye toward how COVID-19 has accelerated the need for change. One of the biggest challenges facing biotech, pharma, and medical device companies today is how to integrate new knowledge, new data, and new technologies to get the right treatments to the right patients at precisely the right times--made even more profound in the midst of a pandemic and in the years to come.
Drawing on the fascinating stories of businesses and individuals that are already making inroads--from a fertility-tracking bracelet changing the game for couples looking to get pregnant, to an entrepreneur reinventing the treatment of diabetes, to Medidata's own work bringing clinical trials into the 21st century--de Vries shares the breakthroughs, approaches, and practical business techniques that will allow companies to stay ahead of the curve and deliver solutions faster, cheaper, and more successfully--while still upholding the principles of traditional therapeutic medicine and reflecting the current environment.
How new approaches to cancer and rare diseases are leading the way toward precision medicine
What data and digital technologies enable in the building of robust, effective disease management platforms
Why value-based reimbursement is changing the business of life sciences
How the right alignment of incentives will improve outcomes at every stage of the patient journey
Whether you're a scientist, physician, or executive, you can't afford to let the moment pass: understand the landscape with this must-read roadmap for success--and see how you can change health care for the better.
Описание: If you last saw algorithms in a university course or at a job interview, you`re missing out on what they can do for your code. Learn different sorting and searching techniques, and when to use each.
Автор: Mohaghegh Название: Data-Driven Analytics for the Geological Storage of CO2 ISBN: 1138197149 ISBN-13(EAN): 9781138197145 Издательство: Taylor&Francis Рейтинг: Цена: 26030.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-driven analytics is enjoying unprecedented popularity among oil and gas professionals. Many reservoir engineering problems associated with geological storage of CO2 require the development of numerical reservoir simulation models. This book is the first to examine the contribution of artificial intelligence and machine learning in data-driven analytics of fluid flow in porous environments, including saline aquifers and depleted gas and oil reservoirs. Drawing from actual case studies, this book demonstrates how smart proxy models can be developed for complex numerical reservoir simulation models. Smart proxy incorporates pattern recognition capabilities of artificial intelligence and machine learning to build smart models that learn the intricacies of physical, mechanical and chemical interactions using precise numerical simulations. This ground breaking technology makes it possible and practical to use high fidelity, complex numerical reservoir simulation models in the design, analysis and optimization of carbon storage in geological formations projects.
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