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الصفحة 8
الصفحة 8
Big Data Recommender Systems ; Vol.1 : Algorithms, Architectures, Big Data, Security and Trust
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools.
Big Data : An Art of Decision Making
Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and exploratory outlook - already well known in the social sciences and the humanities - to convey intelligible results from data analysis algorithms and create new knowledge. Big Data is based on an inquiry of several years within Proxem, a software publisher specializing in big data processing. The book examines how data scientists explore, interpret and visualize our digital traces to make sense of them, and to produce new knowledge. Grounded in epistemology and science and technology studies, Big Data offers a reflection on data in general, and on how they help us to better understand reality and decide on our daily actions.
Best practices in software measurement : How to use metrics to improve project and process performance
Not everything that counts can be counted. Not everything that is counted counts. Albert Einstein This is a book about software measurement from the practitioner’s point of view and it is a book for practitioners. Software measurement needs a lot of practical guidance to build upon experiences and to avoid repeating errors. This book t- gets exactly this need, namely to share experiences in a constructive way that can be followed. It tries to summarize experiences and knowledge about software measurement so that it is applicable and repeatable. It extracts experiences and lessons learned from the narrow context of the specific industrial situation, thus facilitating transfer to other contexts. Software measurement is not at a standstill. With the speed software engine- ing is evolving, software measurement has to keep pace. While the underlying theory and basic principles remain invariant in the true sense (after all, they are not specific to software engineering), the application of measurement to specific contexts and situations is continuously extended. The book thus serves as a ref- ence on these invariant principles as well as a practical guidance on how to make software measurement a success.
Beginning SQL Server 2005 for Developers : From novice to professional
SQL Server 2005 will increase your programming options, productivity, analysis, and database management. If you have some basic knowledge of relational databases and want to start a career as a developer using SQL Server, then this book is your ideal first step. It explains the core jobs and roles for developing a database in both SQL Server 2000 and 2005. This book features practical steps to help you overcome issues youre likely to encounter. You'll learn to use SQL for querying, inserting, updating, and deleting data. You'll also learn how to back up and restore databases for basic administration in SQL Server.
Beginning SQL Queries : From novice to professional
Clare Churcher's Beginning SQL Queries is your guide to mastering the lingua franca of the database industry: the SQL language. Good knowledge of SQL is crucial to anyone working with databases, because it is with SQL that you retrieve data, manipulate data, and generate business results. Knowing how to write good queries is the foundation for all work done in SQL, and it is a foundation that Clare lays well in her book.
Beginning jOOQ : Learn to Write Efficient and Effective Java-Based SQL Database Operations
Learn to use the jOOQ library to manage SQL database operations in Java and JVM applications. This book walks you through what JOOQ is, how to install and get started with it, and then gets you working with it. You will: Comparing equivalent features between Hibernate, JPA and jOOQ. Unlock the power of your SQL database with high performing, flexible and typesafe SQL queries. Seamlessly work with many different SQL database vendors without changing your code. Effortlessly generate Java code based on the content of your database. Write reactive SQL database access code with R2DBC. Integrating jOOQ into popular frameworks and platforms like Hibernate, Spring boot and Quarkus tools like IDEs. Testing jOOQ-based code with modern integration testing frameworks like TestContainers and Docker. Learn how to safely handle data access code within frameworks like the Java Persistence API (JPA)
Beginning Game Development with Python and Pygame : From novice to professional
Beginning Game Development with Python and Pygame is written with the budding game developer in mind, introducing games development through the Python programming language and the popular Pygame games development library. You'll be privy to insights that will not only help you to exploit Pygame to its maximum potential, but also make you a more creative and knowledgeable games developer all round.
Beginning C# 2008 Databases : From novice to professional
Assuming only basic knowledge of C# 2008, Beginning C# 2008 Databases teaches all the fundamentals of database technology and database programming readers need to quickly become highly proficient database users and application developers. A comprehensive tutorial on both SQL Server 2005 and ADO.NET 3.0, Beginning C# 2008 Databases explains and demonstrates how to create database objects and program against them in both T–SQL and C#. Full of practical, detailed examples, it's been fully revised and updated for C# 2008 and offers the most complete, detailed, and gentle introduction to database technology for all C# programmers at any level of experience.
Beginning ASP.NET 3.5 in VB 2008 : From novice to professional
The most up–to–date and comprehensive introductory ASP.NET book you'll find on any shelf, Beginning ASP.NET 3.5 in VB 2008 guides you through Microsoft's latest technology for building dynamic web sites. This book will enable you to build dynamic web pages on the fly, and it assumes only the most basic knowledge of Visual Basic 2008.
Beginning ASP.NET 3.5 in C# 2008 : From novice to professional
The most up–to–date and comprehensive introductory ASP.NET book you'll find on any shelf, Beginning ASP.NET 3.5 in C# 2008 guides you through Microsoft's technology for building dynamic web sites. This book will enable you to build dynamic web pages on the fly, and it assumes only the most basic knowledge of C#.
Beginning ASP.NET 2.0 in VB 2005 : From novice to professional
This book includes best practices and comprehensive discussions about key database and XML principles, which are essential for you to become effective with ASP.NET. The book also emphasizes the invaluable coding techniques of object orientation and code behind, which will enable you to build real-world websites immediately rather than just scraping by with simplified coding practices. By the time you've finished this book, you will have mastered the core techniques and possess the necessary knowledge to begin work as a professional ASP.NET developer.
Beginning Apache Struts: From novice to professional
Beginning Apache Struts will provide you a working knowledge of Apache Struts 1.2. This book is ideal for you Java programmers who have some JSP familiarity, but little or no prior experience with Servlet technology. Organized in a condensed tutorial and lab format, the material in this book has been tested in real classroom environments. It takes a step-by-step, hands-on approach to teaching you Struts. The book even previews the next generation of Struts, the Apache Shale. The overall result is that you can quickly apply Struts to your work settings with confidence.
Automated machine learning : Methods, systems, challenges
This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself.
Artificial intelligence-based Internet of things systems
Discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects. Addresses the complete functional framework workflow in AI-enabled IoT ecosystem; Presents intelligent object identification and object discovery through the IoT ecosystem and its implications to the real world ;Explores security and privacy issues and trustworthy machine learning related to data-intensive technologies in AI-based IoT ecosystems.
Artificial Intelligence for Cloud and Edge Computing
Discusses the future possibilities of AI with cloud computing and edge computing. Aims to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. Readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals. Presents fusion of cloud computing services and AI technology for bringing a significant change in the technology industry; Includes self-assessment problems for increasing knowledge of real world problems, i.e., how AI and cloud/edge computing can change business for the better; Provides innovative results of integrations of AI in other applications such as healthcare, finance, manufacturing, transportation, agriculture, etc.
Artificial intelligence and machine learning in health care and medical sciences : Best practices and pitfalls
Provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks.
Architecture of advanced numerical analysis systems: designing a scientific computing system using ocaml
Applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language.
Applications and Innovations in Intelligent Systems XV ; Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
The papers in this volume are the refereed application papers presented at AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2007.
Analyzing computer system performance with Perl::PDQ
Analyzing computer system performance is often regarded by most system administrators, IT professionals and software engineers as a black art that is too time consuming to learn and apply. Finally, this book by acclaimed performance analyst Dr. Neil Gunther makes this subject understandable and applicable through programmatic examples. The means to this end is the open-source performance analyzer Pretty Damn Quick (PDQ) written in Perl As the epigraph in this book points out, Common sense is the pitfall of performance analysis. The performance analysis framework that replaces common sense is revealed in the first few chapters of Part I. The important queueing concepts embedded in PDQ are explained in a very simple style that does not require any knowledge of formal probability theory. Part II begins with a full specification of how to set up and use PDQ replete with examples written in Perl. Subsequent chapters present applications of PDQ to the performance analysis of multicomputer architectures, benchmark results, client/server scalability, and Web-based applications.
An Undergraduate Primer in Algebraic Geometry
This book consists of two parts. The first is devoted to an introduction to basic concepts in algebraic geometry: affine and projective varieties, some of their main attributes and examples. The second part is devoted to the theory of curves: local properties, affine and projective plane curves, resolution of singularities, linear equivalence of divisors and linear series, Riemann–Roch and Riemann–Hurwitz Theorems.The approach in this book is purely algebraic. The main tool is commutative algebra, from which the needed results are recalled, in most cases with proofs. The prerequisites consist of the knowledge of basics in affine and projective geometry, basic algebraic concepts regarding rings, modules, fields, linear algebra, basic notions in the theory of categories, and some elementary point–set topology.
