Advances in Data Science, Demir Ilke, Lou Yifei, Wang Xu
Автор: Kishimoto Masashi Название: Naruto: The Official Character Data Book ISBN: 1421541254 ISBN-13(EAN): 9781421541259 Издательство: Viz Media Рейтинг: Цена: 2308.00 р. Наличие на складе: Есть (более 5-х 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.
Автор: Roger Peng Название: Executive Data Science ISBN: 1365121976 ISBN-13(EAN): 9781365121975 Издательство: Неизвестно Рейтинг: Цена: 3904.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader. You'll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles.
You'll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you'll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
Описание: It addresses a wide range of cross-cutting activities, such as efficient computing, virtual reality, disruption management, big data, open science and the internet of things, and showcases how these green information & communication technologies (ICT) can be used to effectively address environmental and societal challenges.
Автор: Athanasios Voulodimos, Anastasios Doulamis Название: Recent Advances in 3D Imaging, Modeling, and Reconstruction ISBN: 1799829960 ISBN-13(EAN): 9781799829966 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 20236.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes with many challenges, such as images becoming blurry by atmospheric turbulence, getting snowed with noise, or becoming damaged within foreign regions. It is imperative to remain well-informed with the latest research in this field.
Recent Advances in 3D Imaging, Modeling, and Reconstruction is a collection of innovative research on the methods and common techniques of image reconstruction as well as the accuracy of these methods. Featuring coverage on a wide range of topics such as ray casting, holographic techniques, and machine learning, this publication is ideally designed for graphic designers, computer engineers, medical professionals, robotics engineers, city planners, game developers, researchers, academicians, and students.
Автор: de Sourav, Dey Sandip, Bhattacharyya Siddhartha Название: Recent Advances in Hybrid Metaheuristics for Data Clustering ISBN: 1119551595 ISBN-13(EAN): 9781119551591 Издательство: Wiley Рейтинг: Цена: 16624.00 р. Наличие на складе: Поставка под заказ.
Описание:
An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques
Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authors--noted experts on the topic--provide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering.
The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text:
Includes performance analysis of the hybrid metaheuristics as related to their conventional counterparts
Offers an in-depth analysis of a range of optimization algorithms
Highlights a review of data clustering
Contains a detailed overview of different standard metaheuristics in current use
Presents a step-by-step guide to the build-up of hybrid metaheuristics
Offers real-life case studies and applications
Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.
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
Polymeric nanomaterials have become increasingly useful for a wide range of applications in therapeutics, tissue engineering and regenerative medicine. This is because their properties, such as stability, size, shape, surface charge, surface chemistry, mechanical strength, porosity, and so on, can be tailored toward the specific functionalities that are required to meet the needs of targeted biomedical application.
Advances In Polymeric Nanomaterials For Biomedical Applications examines advanced polymer synthetic strategies for developing novel biomaterials for use in medicine. With a strong focus on fundamentals and structure, the authors also explore their fabrication, as well as current and potential biomedical applications.
The book begins with a look at the fundamentals of polymeric nanomaterials and their properties. The text goes on to discuss the design of biomaterials and their applications in drug delivery. Further chapters explore other important applications such as imaging and regenerative medicine, including current challenges and future trends.
This valuable resource is especially useful for materials and polymer scientists, and bioengineers wishing to broaden their knowledge of polymeric nanobiomaterials.
Covers the complete spectrum of polymer nanomaterials used in biomedical applications
Includes various applications such as drug delivery, gene delivery, bio-imaging, tissue engineering and regenerative medicine, anti-microbial agents and neuroscience together for the first time in this area
Explores fundamental correlations between structures, properties and applications as well as synthetic strategies for polymer nanomaterials
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