- Table View
- List View
A Practical Guide to IT Law
by Stuart Smith Stewart James Andrew Katz Jennifer Pierce Nikki Cordell Sam De Silva Sara Ellacott Victoria Hordern Andy LucasThis comprehensive guide for management professionals discusses the IT-related legal issues faced by businesses on a daily basis. Legal concepts and terminology are notoriously difficult for non-specialists, but this book explains in plain English the relevant legal frameworks and gives examples from actual cases. New material in this edition include chapters on GDPR, cyber security, cloud computing contracts and Agile.
A Practical Guide to IT Law
by Stuart Smith Stewart James Andrew Katz Jennifer Pierce Nikki Cordell Sam De Silva Sara Ellacott Victoria Hordern Andy LucasThis comprehensive guide for management professionals discusses the IT-related legal issues faced by businesses on a daily basis. Legal concepts and terminology are notoriously difficult for non-specialists, but this book explains in plain English the relevant legal frameworks and gives examples from actual cases. New material in this edition include chapters on GDPR, cyber security, cloud computing contracts and Agile.
A Practical Guide to Information Systems Strategic Planning
by Anita CassidyThe foundation of a successful information systems strategic plan is the recognition that business direction and requirements must drive the IS strategy and computing architecture. A Practical Guide to Information Systems Strategic Planning, Second Edition outlines a systematic approach to guide you through the development of an effective IS plan t
A Practical Guide to Indie Game Marketing
by Joel DreskinLearn how to market for your indie game, even with a small budget and limited resources. For those who want to earn a regular income from making indie games, marketing can be nearly as vital to the success of the game as the game itself. A Practical Guide to Indie Game Marketing provides you with the tools needed to build visibility and sell your game. With special focus on developers with small budgets and limited staff and resources, this book is packed with recommendations and techniques that you can put to use immediately. As a seasoned marketing professional, author Joel Dreskin provides insight into practical, real-world experiences from marketing numerous successful games and also shares tips on mistakes to avoid. Presented in an easy to read format, A Practical Guide to Indie Game Marketing includes information on establishing an audience and increasing visibility so you can build successes with your studio and games. Through case studies, examples, guidelines and tips, you will learn best practices for developing plans for your game launches, PR, community engagement, channel promotions and more Sample timelines help you determine how long in advance of a launch to prepare your first public communications, when to announce your game, as well as recommended timing for releasing different game assets Book also includes marketing checklist 'cheat sheets', dos and don’ts and additional resources
A Practical Guide to Indie Game Marketing
by Joel DreskinLearn how to market for your indie game, even with a small budget and limited resources. For those who want to earn a regular income from making indie games, marketing can be nearly as vital to the success of the game as the game itself. A Practical Guide to Indie Game Marketing provides you with the tools needed to build visibility and sell your game. With special focus on developers with small budgets and limited staff and resources, this book is packed with recommendations and techniques that you can put to use immediately. As a seasoned marketing professional, author Joel Dreskin provides insight into practical, real-world experiences from marketing numerous successful games and also shares tips on mistakes to avoid. Presented in an easy to read format, A Practical Guide to Indie Game Marketing includes information on establishing an audience and increasing visibility so you can build successes with your studio and games. Through case studies, examples, guidelines and tips, you will learn best practices for developing plans for your game launches, PR, community engagement, channel promotions and more Sample timelines help you determine how long in advance of a launch to prepare your first public communications, when to announce your game, as well as recommended timing for releasing different game assets Book also includes marketing checklist 'cheat sheets', dos and don’ts and additional resources
A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP
by Jose Manuel Gomez-Perez Ronald Denaux Andres Garcia-SilvaThis book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving a combination of neural methods and knowledge graphs. To this end, it first introduces the main building blocks and then describes how they can be integrated to support the effective implementation of real-world NLP applications. To illustrate the ideas described, the book also includes a comprehensive set of experiments and exercises involving different algorithms over a selection of domains and corpora in various NLP tasks. Throughout, the authors show how to leverage complementary representations stemming from the analysis of unstructured text corpora as well as the entities and relations described explicitly in a knowledge graph, how to integrate such representations, and how to use the resulting features to effectively solve NLP tasks in a range of domains. In addition, the book offers access to executable code with examples, exercises and real-world applications in key domains, like disinformation analysis and machine reading comprehension of scientific literature. All the examples and exercises proposed in the book are available as executable Jupyter notebooks in a GitHub repository. They are all ready to be run on Google Colaboratory or, if preferred, in a local environment. A valuable resource for anyone interested in the interplay between neural and knowledge-based approaches to NLP, this book is a useful guide for readers with a background in structured knowledge representations as well as those whose main approach to AI is fundamentally based on logic. Further, it will appeal to those whose main background is in the areas of machine and deep learning who are looking for ways to leverage structured knowledge bases to optimize results along the NLP downstream.
The Practical Guide to HIPAA Privacy and Security Compliance
by Rebecca Herold Kevin BeaverFollowing in the footsteps of its bestselling predecessor, The Practical Guide to HIPAA Privacy and Security Compliance, Second Edition is a one-stop, up-to-date resource on Health Insurance Portability and Accountability Act (HIPAA) privacy and security, including details on the HITECH Act, the 2013 Omnibus Rule, and the pending rules. Updated and
A Practical Guide to Ecological Modelling: Using R as a Simulation Platform
by Karline Soetaert Peter M. HermanMathematical modelling is an essential tool in present-day ecological research. Yet for many ecologists it is still problematic to apply modelling in their research. In our experience, the major problem is at the conceptual level: proper understanding of what a model is, how ecological relations can be translated consistently into mathematical equations, how models are solved, steady states calculated and interpreted. Many textbooks jump over these conceptual hurdles to dive into detailed formulations or the mathematics of solution. This book attempts to fill that gap. It introduces essential concepts for mathematical modelling, explains the mathematics behind the methods, and helps readers to implement models and obtain hands-on experience. Throughout the book, emphasis is laid on how to translate ecological questions into interpretable models in a practical way.The book aims to be an introductory textbook at the undergraduate-graduate level, but will also be useful to seduce experienced ecologists into the world of modelling. The range of ecological models treated is wide, from Lotka-Volterra type of principle-seeking models to environmental or ecosystem models, and including matrix models, lattice models and sequential decision models. All chapters contain a concise introduction into the theory, worked-out examples and exercises. All examples are implemented in the open-source package R, thus taking away problems of software availability for use of the book. All code used in the book is available on a dedicated website.
The Practical Guide to Digital Transformation: Quickly Master the Essentials with Tips, Case Studies and Actionable Advice
by Antonio WeissDigital transformation is a vital practice for organizations trying to keep up with competitors, but with new digital approaches constantly promising to revolutionise the workplace it can feel impossible to keep up. Cut through the hype with this accessible guide to making end-to-end digital transformation happen.While technology offers the possibility for business improvement, successful digital transformation also requires an effective strategy, the right culture, change management, the ability to stimulate innovation and the knowledge of where to upskill and where to bring in new talent. The Practical Guide to Digital Transformation covers each of these factors and more by breaking the process down to 17 easy-to-follow and practical steps.Each chapter includes a case study of an organization getting it right, along with advice on putting the principle into action, key tips and tricks, and what you might say in your next meeting. This book also outlines how to start with the foundations of 'doing digital' and build from there, including data science, cyber security, workable technology, minimised stack duplication, data registers and good user experience. Quickly build confidence and make change happen with this actionable guide to the essentials of digital transformation.
The Practical Guide to Digital Transformation: Quickly Master the Essentials with Tips, Case Studies and Actionable Advice
by Antonio WeissDigital transformation is a vital practice for organizations trying to keep up with competitors, but with new digital approaches constantly promising to revolutionise the workplace it can feel impossible to keep up. Cut through the hype with this accessible guide to making end-to-end digital transformation happen.While technology offers the possibility for business improvement, successful digital transformation also requires an effective strategy, the right culture, change management, the ability to stimulate innovation and the knowledge of where to upskill and where to bring in new talent. The Practical Guide to Digital Transformation covers each of these factors and more by breaking the process down to 17 easy-to-follow and practical steps.Each chapter includes a case study of an organization getting it right, along with advice on putting the principle into action, key tips and tricks, and what you might say in your next meeting. This book also outlines how to start with the foundations of 'doing digital' and build from there, including data science, cyber security, workable technology, minimised stack duplication, data registers and good user experience. Quickly build confidence and make change happen with this actionable guide to the essentials of digital transformation.
Practical Guide to Digital Manufacturing: First-Time-Right for Design of Products, Machines, Processes and System Integration
by Zhuming BiThis book covers the subject of digital manufacturing. It provides a practical guide for readers on using computer aided design (CAD), computer aided engineering (CAE) and computer aided manufacturing (CAM) and other computer assistive tools for the design of products, machines, processes and system integrations through the case studies of engineering projects. The book introduces a thorough theoretical foundation and discussion of the historical development, and enabling technologies of digital manufacturing. It also covers a broad range of computer aided tools for a variety of applications including: geometric modelling;assembly modelling;motion simulation;finite element analysis;manufacturing process simulation;machining programming;product data management; and,product lifecycle management. Practical Guide to Digital Manufacturing uses many real-world case studies to illustrate the discussed applications, making it easily readable for undergraduate and graduate students, as well as engineers with the needs of computer-aided design and manufacturing knowledge and skills.
A Practical Guide to Database Design, Second Edition
by Rex HoganFully updated and expanded from the previous edition, A Practical Guide to Database Design, Second Edition, is intended for those involved in the design or development of a database system or application. It begins by focusing on how to create a logical data model where data is stored "where it belongs." Next, data usage is reviewed to transform the logical model into a physical data model that will satisfy user performance requirements. Finally, it describes how to use various software tools to create user interfaces to review and update data in a database. Organized into 11 chapters, the book begins with an overview of the functionality of database management systems and how they guarantee the accuracy and availability of data. It then describes how to define and normalize data requirements to create a logical data model, then map them into an initial solution for a physical database. The book next presents how to use an industry-leading data modeling tool to define and manage logical and physical data models. After that, it describes how to implement a physical database using either Microsoft Access or SQL Server and how to use Microsoft Access to create windows interfaces to query or update data in tables. The last part of the book reviews software tools and explores the design and implementation of a database using as an example a much more complex data environment for a University. The book ends with a description of how to use PHP to build a web-based interface to review and update data in a database.
A Practical Guide to Database Design, Second Edition
by Rex HoganFully updated and expanded from the previous edition, A Practical Guide to Database Design, Second Edition, is intended for those involved in the design or development of a database system or application. It begins by focusing on how to create a logical data model where data is stored "where it belongs." Next, data usage is reviewed to transform the logical model into a physical data model that will satisfy user performance requirements. Finally, it describes how to use various software tools to create user interfaces to review and update data in a database. Organized into 11 chapters, the book begins with an overview of the functionality of database management systems and how they guarantee the accuracy and availability of data. It then describes how to define and normalize data requirements to create a logical data model, then map them into an initial solution for a physical database. The book next presents how to use an industry-leading data modeling tool to define and manage logical and physical data models. After that, it describes how to implement a physical database using either Microsoft Access or SQL Server and how to use Microsoft Access to create windows interfaces to query or update data in tables. The last part of the book reviews software tools and explores the design and implementation of a database using as an example a much more complex data environment for a University. The book ends with a description of how to use PHP to build a web-based interface to review and update data in a database.
A Practical Guide to CRM: Building More Profitable Customer Relationships
by Janice ReynoldsIn today's global economy the customer has more and better choices than ever before, bringing on one of the biggest challenges the business community faces today - customer loyalty and retention. To thrive in today's customer-driven economy a company need
A Practical Guide to Content Delivery Networks
by Gilbert HeldFollowing in the tradition of its popular predecessor, A Practical Guide to Content Delivery Networks, Second Edition offers an accessible and organized approach to implementing networks capable of handling the increasing data requirements of today's always on mobile society. Describing how content delivery networks (CDN) function, it provides
Practical Guide to ChIP-seq Data Analysis (Focus Computational Biology Series)
by Borbala Mifsud Kathi Zarnack Anaïs F BardetChromatin immunoprecipitation sequencing (ChIP-seq), which maps the genome-wide localization patterns of transcription factors and epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through the steps of ChIP-seq analysis: from quality control, through peak calling, to downstream analyses. It will help experimental biologists to design their ChIP-seq experiments with the analysis in mind, and to perform the basic analysis steps themselves. It also aims to support bioinformaticians to understand how the data is generated, what the sources of biases are, and which methods are appropriate for different analyses.
Practical Guide to ChIP-seq Data Analysis (Focus Computational Biology Series)
by Borbala Mifsud Kathi Zarnack Anaïs F BardetChromatin immunoprecipitation sequencing (ChIP-seq), which maps the genome-wide localization patterns of transcription factors and epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through the steps of ChIP-seq analysis: from quality control, through peak calling, to downstream analyses. It will help experimental biologists to design their ChIP-seq experiments with the analysis in mind, and to perform the basic analysis steps themselves. It also aims to support bioinformaticians to understand how the data is generated, what the sources of biases are, and which methods are appropriate for different analyses.
A Practical Guide to Call Center Technology: Select the Right Systems for Total Customer Satisfaction
by Andrew WaiteGet the most out of ACDs (automatic call distributors) and other complex systems in order to boost customer satisfaction and increase sales Includes three ready to use RFPs (request for proposals) for buying an ACD, computer telephony system, or recording
A Practical Guide to Brain–Computer Interfacing with BCI2000: General-Purpose Software for Brain-Computer Interface Research, Data Acquisition, Stimulus Presentation, and Brain Monitoring
by Gerwin Schalk Jürgen MellingerWhat Is BCI2000? BCI2000 is a general-purpose software platform for brain–computer interface (BCI) research. It can also be used for a wide variety of data acquisition, stimulus p- sentation, and brain monitoring applications. BCI2000 has been in development since 2000 in a project led by the Brain–Computer Interface R&D Program at the Wadsworth Center of the New York State Department of Health in Albany, New York, USA, with substantial contributions by the Institute of Medical Psychology and Behavioral Neurobiology at the University of Tübingen, Germany. In addition, many laboratories around the world, most notably the BrainLab at Georgia State University in Atlanta, Georgia, and Fondazione Santa Lucia in Rome, Italy, have also played an important role in the project’s development. Mission The mission of the BCI2000 project is to facilitate research and the development of applications in all areas that depend on real-time acquisition, processing, and feedback of biosignals. Vision Our vision is that BCI2000 will become a widely used software tool for diverse areas of research and development.
A Practical Guide to Averaging Functions (Studies in Fuzziness and Soft Computing #329)
by Gleb Beliakov Humberto Bustince Sola Tomasa CalvoThis book offers an easy-to-use and practice-oriented reference guide to mathematical averages. It presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications. Building on a previous monograph by Beliakov et al. published by Springer in 2007, it outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions. It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions. A substantial mathematical background is not called for, as all the relevant mathematical notions are explained here and reported on together with a wealth of graphical illustrations of distinct families of aggregation functions. The authors mainly focus on practical applications and give central importance to the conciseness of exposition, as well as the relevance and applicability of the reported methods, offering a valuable resource for computer scientists, IT specialists, mathematicians, system architects, knowledge engineers and programmers, as well as for anyone facing the issue of how to combine various inputs into a single output value.
Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications
by Valery ManokhinTake your machine learning skills to the next level by mastering the best framework for uncertainty quantification - Conformal PredictionKey FeaturesMaster Conformal Prediction, a fast-growing ML framework, with Python applications.Explore cutting-edge methods to measure and manage uncertainty in industry applications.The book will explain how Conformal Prediction differs from traditional machine learning.Book DescriptionIn the rapidly evolving landscape of machine learning, the ability to accurately quantify uncertainty is pivotal. "Practical Guide to Applied Conformal Prediction in Python" addresses this need by offering an in-depth exploration of Conformal Prediction, a cutting-edge framework set to revolutionize uncertainty management in various ML applications. Embark on a comprehensive journey through Conformal Prediction, exploring its fundamentals and practical applications in binary classification, regression, time series forecasting, imbalanced data, computer vision, and NLP. Each chapter delves into specific aspects, offering hands-on insights and best practices for enhancing prediction reliability. The book concludes with a focus on multi-class classification nuances, providing expert-level proficiency to seamlessly integrate Conformal Prediction into diverse industries. Practical examples in Python using real-world datasets reinforce intuitive explanations, ensuring you acquire a robust understanding of this modern framework for uncertainty quantification. This guide is a beacon for mastering Conformal Prediction in Python, providing a blend of theory and practical application. It serves as a comprehensive toolkit to enhance machine learning skills, catering to professionals from data scientists to ML engineers.What you will learnThe fundamental concepts and principles of conformal predictionLearn how conformal prediction differs from traditional ML methodsApply real-world examples to your own industry applicationsExplore advanced topics - imbalanced data and multi-class CPDive into the details of the conformal prediction frameworkBoost your career as a data scientist, ML engineer, or researcherLearn to apply conformal prediction to forecasting and NLPWho this book is forIdeal for readers with a basic understanding of machine learning concepts and Python programming, this book caters to data scientists, ML engineers, academics, and anyone keen on advancing their skills in uncertainty quantification in ML.
Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications
by Valery ManokhinTake your machine learning skills to the next level by mastering the best framework for uncertainty quantification - Conformal PredictionKey FeaturesMaster Conformal Prediction, a fast-growing ML framework, with Python applications.Explore cutting-edge methods to measure and manage uncertainty in industry applications.The book will explain how Conformal Prediction differs from traditional machine learning.Book DescriptionIn the rapidly evolving landscape of machine learning, the ability to accurately quantify uncertainty is pivotal. "Practical Guide to Applied Conformal Prediction in Python" addresses this need by offering an in-depth exploration of Conformal Prediction, a cutting-edge framework set to revolutionize uncertainty management in various ML applications. Embark on a comprehensive journey through Conformal Prediction, exploring its fundamentals and practical applications in binary classification, regression, time series forecasting, imbalanced data, computer vision, and NLP. Each chapter delves into specific aspects, offering hands-on insights and best practices for enhancing prediction reliability. The book concludes with a focus on multi-class classification nuances, providing expert-level proficiency to seamlessly integrate Conformal Prediction into diverse industries. Practical examples in Python using real-world datasets reinforce intuitive explanations, ensuring you acquire a robust understanding of this modern framework for uncertainty quantification. This guide is a beacon for mastering Conformal Prediction in Python, providing a blend of theory and practical application. It serves as a comprehensive toolkit to enhance machine learning skills, catering to professionals from data scientists to ML engineers.What you will learnThe fundamental concepts and principles of conformal predictionLearn how conformal prediction differs from traditional ML methodsApply real-world examples to your own industry applicationsExplore advanced topics - imbalanced data and multi-class CPDive into the details of the conformal prediction frameworkBoost your career as a data scientist, ML engineer, or researcherLearn to apply conformal prediction to forecasting and NLPWho this book is forIdeal for readers with a basic understanding of machine learning concepts and Python programming, this book caters to data scientists, ML engineers, academics, and anyone keen on advancing their skills in uncertainty quantification in ML.
A Practical Guide to Analog Behavioral Modeling for IC System Design
by Paul A. DuranA Practical Guide to Analog Behavioral Modeling for IC System Design presents a methodology for abstracting an IC system so that the designer can gain a macroscopic view of how sub-systems interact, as well as verify system functionality in various applications before committing to a design. This will prevent problems that may be caused late in the design-cycle by incompatibilities between the individual blocks that comprise the overall system. This book will focus on the techniques of modelling IC systems through analog behavioral modeling and simulation. It will investigate a practical approach by which designers can put together these systems to analyze topological and architectural issues to optimize IC system performance. Highlights: Discussions on modeling and simulation from SPICE to behavioral simulators Comparison of various hardware description languages and a discussion on the effects of language standardization Explanation on how to reduce time-to-market by decreasing design-cycle time through modeling and simulation Contains more than 25 building block examples that can be used to construct mixed-signal IC system models Analysis of 4 different IC systems using various levels of model detail This book is intended for the practicing engineer who would like to gain practical knowledge in applications of analog behavioral modelling for IC system design.
A Practical Guide for Simulation and FPGA Implementation of Digital Design (Computer Architecture and Design Methodologies)
by Bekkay Hajji Adel Mellit Loubna BouselhamThis book introduces the FPGA technology used in the laboratory sessions, and provides a step-by-step guide for designing and simulation of digital circuits. It utilizes the VHDL language, which is one of the most common language used to describe the design of digital systems. The Quartus II, Xilinx ISE 14.7 and ModelSim software are used to process the VHDL code and make simulations, and then the Altera and Xilinx FPGA platforms are employed to implement the simulated digital designs. The book is composed of four parts. The first part of this book has two chapters and covers various aspects: FPGA architectures, ASIC vs FPGA comparison, FPGA design flow and basic VHDL concepts necessary to describe the design of digital systems. The second part of the book includes three chapters that deal with the design of digital circuits such as combinational logic circuits, sequential logic circuits and finite state machines. The third part of the book is reserved for laboratory projects carried out on the FPGA platform. It is a largely hands-on lab class for design digital circuits and implementing their designs on the Altera FPGA platform. Finally, the fourth part of this work is devoted to recent applications carried out on FPGAs, in particular advanced techniques in renewable energy systems. The book is primarily intended for students, scholars, and industrial practitioners interested in the design of modern digital systems.
Practical Guide for Oracle SQL, T-SQL and MySQL
by Preston ZhangSQL is a widely used to access most databases, therefore database developers and system administrators should be familiar with it. This hands-on SQL book will help beginner and intermediate users to write queries that apply complex conditions on a table. The book's unique side by side approach makes it easy for the reader to learn three major query languages in the IT industry. The author has over 20 years of experience in database design. KEY FEATURES: Contains numerous practical screenshots of Oracle SQL, T-SQL, MySQL statements and results. Shows the differences between Oracle SQL, T-SQL and MySQL side by side. Gives a real world experience for SQL developers and database administrators. Sample data is available to work on (available on our website).