Computer science

A Practical Guide to SysML: The Systems Modeling Language is a comprehensive guide to SysML for systems and software engineers.

Brave NUI World is the first practical guide for designing touch- and gesture-based user interfaces.

Embedded Systems Architecture is a practical and technical guide to understanding the components that make up an embedded system's architecture.

Autonomic networking aims to solve the mounting problems created by increasingly complex networks, by enabling devices and service-providers to decide, preferably without human intervention, what to do at any given moment, and ultimately to create self-managing networks that can interface with each other, adapting their behavior to provide the best service to the end-user in all situations.

Pervasive Information Architecture explains the 'why' and 'how' of pervasive information architecture (IA) through detailed examples and real-world stories.

The first book to combine satellite and terrestrial positioning techniques - vital for the understanding and development of new technologiesWritten and edited by leading experts in the field, with contributors belonging to the European Commission's FP7 Network of Excellence NEWCOM++ Applications to a wide range of fields, including sensor networks, emergency services, military use, location-based billing, location-based advertising, intelligent transportation, and leisureLocation-aware personal devices and location-based services have become ever more prominent in the past few years, thanks to the significant advances in position location technology.

No Code Required presents the various design, system architectures, research methodologies, and evaluation strategies that are used by end users programming on the Web.

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications.

Most designers know that yellow text presented against a blue background reads clearly and easily, but how many can explain why, and what really are the best ways to help others and ourselves clearly see key patterns in a bunch of data?

Quaternions are a number system that has become increasingly useful for representing the rotations of objects in three-dimensional space and has important applications in theoretical and applied mathematics, physics, computer science, and engineering.

Multidimensional Signal, Image, and Video Processing and Coding gives a concise introduction to both image and video processing, providing a balanced coverage between theory, applications and standards.

An inviting collection of fun, hands-on applications in mathematics and computingThis book provides a fun, hands-on approach to learning how mathematics and computing relate to the world around us and help us to better understand it.

Thoughts on Interaction Design, Second Edition, contemplates and contributes to the theory of Interaction Design by exploring the semantic connections that live between technology and form that are brought to life when someone uses a product.

Thoughts on Interaction Design explores the theory behind the field of Interaction Design in a new way.

Global UX: Design and Research in a Connected World discusses how user experience (UX) practice is changing and how practitioners and teams around the world are creating great user experiences for a global context.

Usability Testing Essentials provides readers with the tools and techniques needed to begin usability testing or to advance their knowledge in this area.

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn librariesKey FeaturesDiscover solutions for feature generation, feature extraction, and feature selectionUncover the end-to-end feature engineering process across continuous, discrete, and unstructured datasetsImplement modern feature extraction techniques using Python's pandas, scikit-learn, SciPy and NumPy librariesBook DescriptionFeature engineering is invaluable for developing and enriching your machine learning models.

Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPUKey FeaturesExplore examples to leverage the GPU processing power with OpenCV and CUDAEnhance the performance of algorithms on embedded hardware platformsDiscover C++ and Python libraries for GPU accelerationBook DescriptionComputer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages.

User Experience Re-Mastered: Your Guide to Getting the Right Design provides an understanding of key design and development processes aimed at enhancing the user experience of websites and web applications.

Get productive quickly with Pentaho Data IntegrationKey FeaturesTake away the pain of starting with a complex and powerful systemSimplify your data transformation and integration workExplore, transform, and validate your data with Pentaho Data IntegrationBook DescriptionPentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag and drop design and powerful Extract-Transform-Load (ETL) capabilities.

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasKey FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsDevelop neural networks for algorithmic trading to perform time series forecasting and smart analyticsBook DescriptionThe explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML).

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.

Get up to speed with creational, structural, behavioral and concurrent patterns in Delphi to write clear, concise and effective codeKey FeaturesDelve into the core patterns and components of Delphi in order to master your application's designBrush up on tricks, techniques, and best practices to solve common design and architectural challengesChoose the right patterns to improve your program's efficiency and productivityBook DescriptionDesign patterns have proven to be the go-to solution for many common programming scenarios.

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda AccelerateKey FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use the CUDA libraries like CuDNN for deep learning on GPUsBook DescriptionGPUs are proving to be excellent general purpose-parallel computing solutions for high performance tasks such as deep learning and scientific computing.

Design interactive graphics and visuals for your data-driven applications using the popular open-source Chart.

Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategiesKey FeaturesUnderstand the power of algorithmic trading in financial markets with real-world examplesGet up and running with the algorithms used to carry out algorithmic tradingLearn to build your own algorithmic trading robots which require no human interventionBook DescriptionIt's now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading.

Implement neural network architectures by building them from scratch for multiple real-world applications.

Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks.

Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and librariesKey FeaturesLearn, develop, and deploy advanced reinforcement learning algorithms to solve a variety of tasksUnderstand and develop model-free and model-based algorithms for building self-learning agentsWork with advanced Reinforcement Learning concepts and algorithms such as imitation learning and evolution strategiesBook DescriptionReinforcement Learning (RL) is a popular and promising branch of AI that involves making smarter models and agents that can automatically determine ideal behavior based on changing requirements.

Simplify next-generation deep learning by implementing powerful generative models using Python, TensorFlow and KerasKey FeaturesUnderstand the common architecture of different types of GANsTrain, optimize, and deploy GAN applications using TensorFlow and KerasBuild generative models with real-world data sets, including 2D and 3D dataBook DescriptionDeveloping Generative Adversarial Networks (GANs) is a complex task, and it is often hard to find code that is easy to understand.

Build and train scalable neural network models on various platforms by leveraging the power of Caffe2Key FeaturesMigrate models trained with other deep learning frameworks on Caffe2Integrate Caffe2 with Android or iOS and implement deep learning models for mobile devicesLeverage the distributed capabilities of Caffe2 to build models that scale easilyBook DescriptionCaffe2 is a popular deep learning library used for fast and scalable training and inference of deep learning models on various platforms.

Build smarter systems by combining artificial intelligence and the Internet of Things-two of the most talked about topics todayKey FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook DescriptionThere are many applications that use data science and analytics to gain insights from terabytes of data.

Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbookKey Features[*] Your quick guide to implementing TensorFlow in your day-to-day machine learning activities[*] Learn advanced techniques that bring more accuracy and speed to machine learning[*] Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlowBook DescriptionTensorFlow is an open source software library for Machine Intelligence.

Help your organization join the DevOps revolutionAbout This BookHelps you skill up your DevOps knowledge without a strong set of prerequisitesDeliver continuously improved software by showcasing the most advanced tools and techniquesAcquire a deeper insight into implementing DevOps in your organization and deliver results from day 1Who This Book Is ForThis book is written for engineers and companies that want to learn the minimum set of required technologies and processes to be successful in the DevOps world.

The book presents a suite of innovative tools to reshape society into an interconnected future where technology empowers humans to efficiently resolve pressing socio-economic issues while fostering inclusive growth.

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering.

Third edition out now with coverage on Generative AI, clean architecture, edge computing, and moreKey FeaturesTurn business needs into end-to-end technical architectures with this practical guideAssess and overcome various challenges while updating or modernizing legacy applicationsFuture-proof your architecture with IoT, machine learning, and quantum computingBook DescriptionBecoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that.

Make the best of your test suites by using cutting-edge software architecture patterns in PythonKey FeaturesLearn how to create scalable and maintainable applicationsBuild a web system for micro messaging using concepts in the bookUse profiling to find bottlenecks and improve the speed of the systemBook DescriptionDeveloping large-scale systems that continuously grow in scale and complexity requires a thorough understanding of how software projects should be implemented.

The ultimate handbook for new and seasoned Salesforce B2C Solution Architects who want to design seamless B2C solutions across the Salesforce Customer 360 ecosystem - including B2C Commerce, Service Cloud, and Marketing CloudKey FeaturesGive your customers a frictionless experience by creating a unified view of all their interactionsGet your architectural design right the first time and avoid costly reworksPrepare for the B2C Solution Architect exam and Salesforce certification with practical scenarios following Salesforce best practicesBook DescriptionThere's a huge demand on the market for Salesforce professionals who can create a single view of the customer across the Salesforce Customer 360 platform and leverage data into actionable insights.

Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition.

This textbook, now in its sixth edition, continues to be straightforward and easy-to-read, presenting the principles of PLCs while not tying itself to one manufacturer or another.

The first EPMESC Conference took place in 1985.

Analysis of Turbulent Flows is written by one of the most prolific authors in the field of CFD.

OPTIMIZATION TECHNIQUES IN ENGINEERING The book describes the basic components of an optimization problem along with the formulation of design problems as mathematical programming problems using an objective function that expresses the main aim of the model, and how it is to be either minimized or maximized; subsequently, the concept of optimization and its relevance towards an optimal solution in engineering applications, is explained.

Principles of Computer System Design is the first textbook to take a principles-based approach to the computer system design.

This in-depth, detailed reference presents for the first time a comprehensive treatment of recent advances in optical performance monitoring.

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment.

The Vector-Valued Maximin

Differential Equations with Applications to Mathematical Physics

Analysis and Control of Nonlinear Infinite Dimensional Systems