Data Structures Using C

For 200 years, industry mastered iron, fire, strength and energy. Today, electronics shapes our everyday objects, integrating chips: computers, phones, keys, games, household appliances, etc. Data, so

The emerging genomic, epigenomic, sensing and image technologies will produce a deluge of unprecedentedly massive and highly-dimensional genomic, epigenomic, physiological, image and clinical data. Th

《Spring Data JPA從入門到精通》以Spring Boot為技術基礎，從入門到精通，由淺入深地介紹Spring Data JPA的使用。有語法，有實踐，有原理剖析。 《Spring Data JPA從入門到精通》分為12章，內容包括整體認識JPA、JPA基礎查詢方法、定義查詢方法、注解式查詢方法、@Entity實例裡面常用注解詳解、JpaRepository擴展詳解、JPA的MVC擴展

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to compl

This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the

這是一本C/C++語言應用能力進階的圖書，總結了一個典型的學習者第101個小時開始的學習路線和心得，你值得擁有。 本書內容包括夯實C語言核心基礎、提升你的編程功力、積累專業程序員開發經驗、理解C++精髓和以C++為母語五個部分，內容豐富，集開發技巧、成長經驗和學習資料於一體，具有很高的實用性和可讀性，對於初級程序員和學習編程語言的大學生大有裨益，可以幫助其掌握C/C++語言精髓，提高自己的程序

Geophysical Data Analysis: Diverse Inverse Theory, Fourth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. It demonstrates the metho

This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, po

《Spring Data JPA從入門到精通》以Spring Boot為技術基礎，從入門到精通，由淺入深地介紹Spring Data JPA的使用。有語法，有實踐，有原理剖析。 《Spring Data JPA從入門到精通》分為12章，內容包括整體認識JPA、JPA基礎查詢方法、定義查詢方法、注解式查詢方法、@Entity實例裡面常用注解詳解、JpaRepository擴展詳解、JPA的MVC擴展REST支持、DataSource的配置、樂觀鎖、SpEL表達式在Spring Data裡面的應用、Spring Data Redis實現cacheable的實踐、IntelliJ IDEA加快開發效率、Spring Data REST簡單介紹等。 《Spring Data JPA從入門到精通》適合Java開發初學者、Java開發工程師、Java開發架構師閱讀，也適合高等院校和培訓學校相關專業的師生教學參考。

The widespread availability of high-quality, high-frequency data has revolutionised the study of financial markets. By describing not only asset prices, but also market participants' actions and interactions, this wealth of information offers a new window into the inner workings of the financial ecosystem. In this original text, the authors discuss empirical facts of financial markets and introduce a wide range of models, from the micro-scale mechanics of individual order arrivals to the emergent, macro-scale issues of market stability. Throughout this journey, data is king. All discussions are firmly rooted in the empirical behaviour of real stocks, and all models are calibrated and evaluated using recent data from Nasdaq. By confronting theory with empirical facts, this book for practitioners, researchers and advanced students provides a fresh, new, and often surprising perspective on topics as diverse as optimal trading, price impact, the fragile nature of liquidity, and even the re

Distill 100%–Usable Max-Profit Knowledge from Your Digital Data. Do It Now! Why hasn’t all that data delivered a whopping competitive advantage? Because you’ve barely begu

Bringing this best-selling textbook right up to date, the new edition uniquely integrates the theories and methods that drive the fields of biology, biotechnology and medicine, comprehensively covering both the techniques students will encounter in lab classes and those that underpin current key advances and discoveries. The contents have been updated to include both traditional and cutting-edge techniques most commonly used in current life science research. Emphasis is placed on understanding the theory behind the techniques, as well as analysis of the resulting data. New chapters cover proteomics, genomics, metabolomics, and bioinformatics, as well as data analysis and visualisation. Using accessible language to describe concepts and methods, and with a wealth of new in-text worked examples to challenge students' understanding, this textbook provides an essential guide to the key techniques used in current bioscience research.

Actuaries have access to a wealth of individual data in pension and insurance portfolios, but rarely use its full potential. This book will pave the way, from methods using aggregate counts to modern developments in survival analysis. Based on the fundamental concept of the hazard rate, Part I shows how and why to build statistical models, based on data at the level of the individual persons in a pension scheme or life insurance portfolio. Extensive use is made of the R statistics package. Smooth models, including regression and spline models in one and two dimensions, are covered in depth in Part II. Finally, Part III uses multiple-state models to extend survival models beyond the simple life/death setting, and includes a brief introduction to the modern counting process approach. Practising actuaries will find this book indispensable, and students will find it helpful when preparing for their professional examinations.

Bringing this best-selling textbook right up to date, the new edition uniquely integrates the theories and methods that drive the fields of biology, biotechnology and medicine, comprehensively covering both the techniques students will encounter in lab classes and those that underpin current key advances and discoveries. The contents have been updated to include both traditional and cutting-edge techniques most commonly used in current life science research. Emphasis is placed on understanding the theory behind the techniques, as well as analysis of the resulting data. New chapters cover proteomics, genomics, metabolomics, and bioinformatics, as well as data analysis and visualisation. Using accessible language to describe concepts and methods, and with a wealth of new in-text worked examples to challenge students' understanding, this textbook provides an essential guide to the key techniques used in current bioscience research.

Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft 70-778 Analyzing and Visualizing Data with Microsoft Power BI certification exam. Exam Ref 70-778: Anal

Your hands-on guide to Microsoft Visual C# fundamentals with Visual Studio 2017 Expand your expertise--and teach yourself the fundamentals of programming with the latest version of Visual C# with Visu

Presenting in depth discussions of various statistical models and methods needed for the analysis of medical, biological and biostatistics data, this book emphasizes the analysis of data when normal d

Analysis Techniques for non-Experimental Data: An Introduction discusses five different quasi-experimental study designs: propensity score matching; instrumental variables; the regression discontinuit

A hands-on guide to using statistics in health research, from planning, through analysis, and on to reporting A Practical Approach to Using Statistics in Health Research offers an easy to use, step-by

This is the first book devoted to the task of computing integrability structures by computer. The symbolic computation of integrability operator is a computationally hard problem and the book covers a

This book provides insight into the challenges in providing data authentication over wireless communication channels. The authors posit that established standard authentication mechanisms – for wired

Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance ind

This work is an elementary but comprehensive textbook which provides the latest updates in the fields of Earthquake Engineering, Dynamics of Structures, Seismology and Seismic Design, introducing rele

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap t

This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Inter

This volume addresses the specific subject of fatigue, a subject not familiar to many engineers, but still relevant for proper and good design of numerous steel structures. It explains all issues rela

Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob K

Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob K

Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs a

Gain an intuitive understanding of jitter and phase noise with this authoritative guide. Leading researchers provide expert insights on a wide range of topics, from general theory and the effects of jitter on circuits and systems, to key statistical properties and numerical techniques. Using the tools provided in this book, you will learn how and when jitter and phase noise occur, their relationship with one another, how they can degrade circuit performance, and how to mitigate their effects - all in the context of the most recent research in the field. Examine the impact of jitter in key application areas, including digital circuits and systems, data converters, wirelines, and wireless systems, and learn how to simulate it using the accompanying Matlab code. Supported by additional examples and exercises online, this is a one-stop guide for graduate students and practicing engineers interested in improving the performance of modern electronic circuits and systems.

In Cooking Data Crystal Biruk offers an ethnographic account of research into the demographics of HIV and AIDS in Malawi to rethink how quantitative health data is produced. While research practices a

In Cooking Data Crystal Biruk offers an ethnographic account of research into the demographics of HIV and AIDS in Malawi to rethink how quantitative health data is produced. While research practices a

The professional’s guide to C# 7, with expert guidance on the newest features Professional C# 7 and .NET Core 2.0 provides experienced programmers with the information they need to work effectiv

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniqu

Professional C++, Fourth Edition, provides a code-intensive, practical guide to best practices for designing and building C++ applications. Geared to experienced C++ developers, the book teachers prog

This book presents a comprehensive overview of Australian impact structures and related mineralization, including a discussion of the significance of many of these structures for crustal evolution. Th

This publication provides detailed guidelines for the safety assessment of nuclear power structures against mechanical impact, explosion and fire caused by human induced external events.

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional ac

《C#程序設計教程 第2版》以Visual Studio 2015為開發平臺，採用“任務驅動”方式，全面細緻地介紹了Visual C#的基礎知識、特點和具體應用，突出面向對象程序設計思想。《C#程序設計教程 第2版》主要包括C#、.NET和Visual Studio簡介，C#語法基礎，流程控制語句與控件，面向對象的程序設計方法，數組、結構與集合，接口、委託和事件，泛型，異常處理、程序調試和文件操作

The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of