Reis, Joe, Housley, Matt  | O'Reilly Media

113,960원  | 20221018  | 9781098108304

This definitive guide shows you how to automate networking for simple and secure application delivery with Consul. Author Luke Kysow demonstrates how this service mesh solution provides a software-driven approach to security, observability, and traffic management.

Ellis Horowitz  | Silicon Press

0원  | 20120215  | 9780929306407

Designed to function as a textbook or as a professional reference, Fundamentals Of Data Structures In C provides in-depth coverage of all aspects of data structure implementation in ANSI C. This book goes beyond the standard fare of Stacks, Queues, and Lists to offer such features as full chapter on Search Structures and a discussion of Advanced Tree Structures.

 | Freeman

0원  | 19950301  | 9780716782926

From the acclaimed author team, an authoritative introduction to the theories and applications of the increasingly popular object-oriented language, C++. The book offers a complete rendering of basic data structure implementations, enhanced with the trademark Horowitz/Sahni features: 1.An engaging balance of computer theory and hands-on programming. 2.A thoroughness of discussions that allows professors to cover the material at the degree of depth they choose 3.A wealth of illustrations and examples, helping students visualize abstract concepts 4.A vast array of exercises at all levels of difficulty.

Jarke, Matthias  | Springer

0원  | 20000101  | 9783540653653

 | LAP Lambert Academic Publishing

138,650원  | 20200423  | 9786202523554

Learning the fundamental concepts of data structures and algorithms.. first chapter covers the basic types of data structures and the second covers with tree concepts and third chapter covers with various sorting and searching techniques and fourth one covers with graphs concepts and fifth one describes the dynamic programming concepts and finally examples programs with the above data structures concepts.

 | LAP Lambert Academic Publishing

99,030원  | 20200120  | 9786200480958

Data structure is a representation of the logical relationship existing between individual elements of data.Data Structure is a way of organizing all data items that considers not only the elements stored but also their relationship to each other.We can also define data structure as a mathematical or logical model of a particular organization of data items.The representation of particular data structure in the main memory of a computer is called as storage structure.

Mathar, Rudolf, Behboodi, Arash, Balda, Emilio, Alirezaei, Gholamreza  | Springer Nature Switzerland AG

60,800원  | 20210930  | 9783030568337

This book introduces the basic methodologies for successful data analytics. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.

Mathar, Rudolf, Alirezaei, Gholamreza, Balda, Emilio, Behboodi, Arash  | Springer

95,550원  | 20201214  | 9783030568306

This book introduces the basic methodologies for successful data analytics. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.

Dubitzky, Werner (EDT)/ Granzow, Martin (EDT)/ Ber  | Springer-Verlag New York Inc

281,450원  | 20210101  | 9780387475080

This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.

Claus O. Wilke  | Oreilly & Associates Inc

100,000원  | 20190415  | 9781492031086

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book's visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story

 | Packt Publishing

74,260원  | 20161028  | 9781786462138

About This BookQuickly get familiar with data science using Python 3.5Save time (and effort) with all the essential tools explainedCreate effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experienceWho This Book Is ForIf you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science.

 | Springer Nature B.V.

66,000원  | 20210701  | 9783030692520

This unique and useful textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments.

 | Springer Nature B.V.

0원  | 20190516  | 9783030179908

This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments.

 | Springer Nature

93,800원  | 20190613  | 9783319997124

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns.

 | Springer Nature B.V.

66,000원  | 20190118  | 9783319997148

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications.? Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and? related privacy concerns. Aspects of? predictive modelling? using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section.