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Green Sustainability: Proceedings of ITAF 2023 (Lecture Notes in Networks and Systems #753)
by Dalia Magdi Ahmed Abou El-Fetouh Mohamed Mamdouh Amit JoshiThe book is a collection of best selected research papers presented at the Third World Conference on Internet of Things: Applications & Future (ITAF 2023) organized by Global Knowledge Research Foundation in Cairo during February 4–5, 2023. It includes innovative works from researchers, leading innovators, business executives, and industry professionals to examine the latest advances and applications for commercial and industrial end users across sectors within the emerging Internet of things ecosphere. It shares state-of-the-art as well as emerging topics related to Internet of things such as big data research, emerging services and analytics, Internet of things (IoT) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies, and open and cloud technologies.
Green Symbiotic Cloud Communications
by H. D. Mustafa Shabbir N. Merchant Uday B. Desai Brij Mohan BavejaThis book intends to change the perception of modern day telecommunications. Communication systems, usually perceived as "dumb pipes", carrying information / data from one point to another, are evolved into intelligently communicating smart systems. The book introduces a new field of cloud communications. The concept, theory, and architecture of this new field of cloud communications are discussed. The book lays down nine design postulates that form the basis of the development of a first of its kind cloud communication paradigm entitled Green Symbiotic Cloud Communications or GSCC. The proposed design postulates are formulated in a generic way to form the backbone for development of systems and technologies of the future. The book can be used to develop courses that serve as an essential part of graduate curriculum in computer science and electrical engineering. Such courses can be independent or part of high-level research courses. The book will also be of interest to a wide range of readers including both scientific and non-scientific domains as it discusses innovations from a simplistic explanatory viewpoint.
Green Technological Innovation for Sustainable Smart Societies: Post Pandemic Era
by Chinmay ChakrabortyThis book discusses the innovative and efficient technological solutions for sustainable smart societies in terms of alteration in industrial pollution levels, the effect of reduced carbon emissions, green power management, ecology, and biodiversity, the impact of minimal noise levels and air quality influences on human health. The book is focused on the smart society development using innovative low-cost advanced technology in different areas where the growth in employment and income are driven by public and private investment into such economic activities, infrastructure and assets that allow reduced carbon emissions and pollution, enhanced energy, and resource efficiency and prevention of the loss of biodiversity and ecosystem services. The book also covers the paradigm shift in the sustainable development for the green environment in the post-pandemic era. It emphasizes and facilitates a greater understanding of existing available research i.e., theoretical, methodological, well-established and validated empirical work, associated with the environmental and climate change aspects.
Green Technology for Smart City and Society: Proceedings of GTSCS 2020 (Lecture Notes in Networks and Systems #151)
by Renu Sharma Manohar Mishra Janmenjoy Nayak Bighnaraj Naik Danilo PelusiThis book includes selected papers from the International Conference on Green Technology for Smart City and Society (GTSCS 2020), organized by the Institute of Technical Education and Research, Siksha ‘O’ Anusandhan University, Bhubaneswar, India, during 13–14 August 2020. The book covers topics such as machine learning, artificial intelligence, deep learning, optimization algorithm, IoT, signal processing, etc. The book is helpful for researchers working in the discipline of Electrical, Electronics and Computer Science. The researchers working in the allied domain of communication and control will also find the book useful as it deals with the latest methodologies and applications.
Green Transportation and New Advances in Vehicle Routing Problems
by Houda Derbel Bassem Jarboui Patrick SiarryThis book presents recent work that analyzes general issues of green transportation. The contributed chapters consider environmental objectives in transportation, including topics such as battery swap stations for electric vehicles, efficient home healthcare routing, waste collection, and various vehicle routing problems. The content will be valuable for researchers and postgraduate students in computer science, operations research, and urban planning.
GreenEdge: New Perspectives to Energy Management and Supply in Mobile Edge Computing (SpringerBriefs in Computer Science)
by Guoming Tang Deke Guo Kui WuThe 5G technology has been commercialized worldwide and is expected to provide superior performance with enhanced mobile broadband, ultra-low latency transmission, and massive IoT connections. Meanwhile, the edge computing paradigm gets popular to provide distributed computing and storage resources in proximity to the users. As edge services and applications prosper, 5G and edge computing will be tightly coupled and continuously promote each other forward. Embracing this trend, however, mobile users, infrastructure providers, and service providers are all faced with the energy dilemma. On the user side, battery-powered mobile devices are much constrained by battery life, whereas mobile platforms and apps nowadays are usually power-hungry. At the infrastructure and service provider side, the energy cost of edge facilities accounts for a large proportion of operating expenses and has become a huge burden. This book provides a collection of most recent attempts to tackle the energy issues in mobile edge computing from new and promising perspectives. For example, the book investigates the pervasive low-battery anxiety among modern mobile users and quantifies the anxiety degree and likely behavior concerning the battery status. Based on the quantified model, a low-power video streaming solution is developed accordingly to save mobile devices' energy and alleviate users' low-battery anxiety. In addition to energy management for mobile users, the book also looks into potential opportunities to energy cost saving and carbon emission reduction at edge facilities, particularly the 5G base stations and geo-distributed edge datacenters.
Greening the Data Center: Opportunities for Improving Data Center Energy Efficiency
by George SpaffordIT organizations are under intense pressure to manage the power consumed by data centers and the resulting cooling demands. To address these needs, IT needs to properly blend people, process and technology to create solutions. In my first Green IT pocket guide, we reviewed governance and processes for Green IT. In this guide we will provide a sample of technical improvement opportunities at a high-level. By doing so, the intent is to foster discussions in your own organization around what should be done first, second, third and so on. The result of this should be a technical implementation roadmap that supports the objectives of Green IT. Indeed, most data centers will not suffer from a lack of opportunities to improve. What is needed is careful planning and deliberate execution to manage power and cooling while continuing to create and protect value for the organization.
Greening through IT: Information Technology for Environmental Sustainability (The\mit Press Ser.)
by Bill TomlinsonHow the tools of information technology can support environmental sustainability by tackling problems that span broad scales of time, space, and complexity.Environmental issues often span long periods of time, far-flung areas, and labyrinthine layers of complexity. In Greening through IT, Bill Tomlinson investigates how the tools and techniques of information technology (IT) can help us tackle environmental problems at such vast scales. Tomlinson describes theoretical, technological, and social aspects of a growing interdisciplinary approach to sustainability, “Green IT,” offering both a human-centered framework for understanding Green IT systems and specific examples and case studies of Green IT in action.Tomlinson descrobes many efforts toward sustainability supported by IT—from fishers in India who maximized the sales potential of their catch by coordinating their activities with mobile phones to the installation of smart meters that optimize electricity use in California households—and offers three detailed studies of specific research projects that he and his colleagues have undertaken: EcoRaft, an interactive museum exhibit to help children learn principles of restoration ecology; Trackulous, a set of web-based tools with which people can chart their own environmental behavior; and GreenScanner, an online system that provides access to environmental-impact reports about consumer products. Taken together, these examples illustrate the significant environmental benefits that innovations in information technology can enable.
Gregg College Keyboarding and Document Processing for Windows: Lessons 1-60
by Scot OberThis book is a multi component instructional program designed to give the student and the instructor a high degree of flexibility and a high degree of success in meeting their respective goals.
Gregg College Keyboarding & Document Processing Lessons 1-60 11th Edition
by Arlene Zimmerly Jack Johnson Scot OberGDP/11 is an integrated keyboarding system designed to process and score documents created in Microsoft Word. Together, this book and software systematically lead students through each lesson to provide an easy path to success.
Grenzen der KI – theoretisch, praktisch, ethisch (Technik im Fokus)
by Klaus Mainzer Reinhard KahleKünstliche Intelligenz ist eine Schlüsseltechnologie, mit der sowohl in der Wissenschaft als auch in der Industrie große Erwartungen verbunden sind. In diesem Buch werden sowohl die Perspektiven als auch die Grenzen dieser Technologie diskutiert. Das betrifft die praktischen, theoretischen und konzeptionellen Herausforderungen, denen sich die KI stellen muss. In einer Frühphase standen in der KI Expertensysteme im Vordergrund, bei denen mit Hilfe symbolischer Datenverarbeitung regelbasiertes Wissen verarbeitet wurde. Heute wird die KI von statistik-basierten Methoden im Bereich des maschinellen Lernens beherrscht. Diese subsymbolische KI wird an den Lehren, die aus der Frühphase der KI gezogen werden können, gemessen. Als Ergebnis wird vor allem für eine hybride KI argumentiert, die die Potentiale beider Ansätze zur Entfaltung bringen kann.
GREP in InDesign
by Peter KahrelUpdated: June 2013. Author Peter Kahrel updated this Short Cut to cover InDesign CC. Several examples have been added, and most examples are now analysed in more detail.Author note: In Adobe InDesign CS6, GREP has not changed at all. Therefore, the information in this title is valid and up to date for CS6.Updated: August 2010. Author Peter Kahrel updated this Short Cut to cover InDesign CS5.Updated: November 2009. Author Peter Kahrel updated this Short Cut to address typos and reader comments.GREP (short for "General Regular-Expression Print") is a powerful tool that lets you use wildcards ("jokers") to search and replace text. InDesign's GREP implementation can be used for text and also for formatting codes, finding patterns in text as well as literal text.GREP moves beyond the restrictions that hampered earlier InDesign search features, but unfortunately it does have the reputation of being difficult to master. As with many things, it can be challenging to learn, but, fortunately, a lot can be done with surprisingly simple expressions. The aim of this Short Cut is to show how to create simple but powerful regular expressions.
grep Pocket Reference: A Quick Pocket Reference for a Utility Every Unix User Needs (Pocket Reference (O'Reilly))
by Agnieszka Klus John Bambenekgrep Pocket Reference is the first guide devoted to grep, the powerful Unix content-location utility. This handy book is ideal for system administrators, security professionals, developers, and others who want to learn more about grep and take new approaches with it -- for everything from mail filtering and system log management to malware analysis. With grep Pocket Reference, you will: Learn methods for filtering large files for specific content Acquire information not included in the current grep documentation Get several tricks for using variants such as egrep Keep key information about grep right at your fingertips Find the answers you need about grep quickly and easily. If you're familiar with this utility, grep Pocket Reference will help you refresh your basic knowledge, understand rare situations, and work more efficiently. If you're new to grep, this book is the best way to get started.
Grid and Cloud Database Management
by Sandro Fiore Giovanni AloisioSince the 1990s Grid Computing has emerged as a paradigm for accessing and managing distributed, heterogeneous and geographically spread resources, promising that we will be able to access computer power as easily as we can access the electric power grid. Later on, Cloud Computing brought the promise of providing easy and inexpensive access to remote hardware and storage resources. Exploiting pay-per-use models and virtualization for resource provisioning, cloud computing has been rapidly accepted and used by researchers, scientists and industries. In this volume, contributions from internationally recognized experts describe the latest findings on challenging topics related to grid and cloud database management. By exploring current and future developments, they provide a thorough understanding of the principles and techniques involved in these fields. The presented topics are well balanced and complementary, and they range from well-known research projects and real case studies to standards and specifications, and non-functional aspects such as security, performance and scalability. Following an initial introduction by the editors, the contributions are organized into four sections: Open Standards and Specifications, Research Efforts in Grid Database Management, Cloud Data Management, and Scientific Case Studies. With this presentation, the book serves mostly researchers and graduate students, both as an introduction to and as a technical reference for grid and cloud database management. The detailed descriptions of research prototypes dealing with spatiotemporal or genomic data will also be useful for application engineers in these fields.
Grid and Cloud Database Management
by Sandro Fiore Giovanni AloisioSince the 1990s Grid Computing has emerged as a paradigm for accessing and managing distributed, heterogeneous and geographically spread resources, promising that we will be able to access computer power as easily as we can access the electric power grid. Later on, Cloud Computing brought the promise of providing easy and inexpensive access to remote hardware and storage resources. Exploiting pay-per-use models and virtualization for resource provisioning, cloud computing has been rapidly accepted and used by researchers, scientists and industries.In this volume, contributions from internationally recognized experts describe the latest findings on challenging topics related to grid and cloud database management. By exploring current and future developments, they provide a thorough understanding of the principles and techniques involved in these fields. The presented topics are well balanced and complementary, and they range from well-known research projects and real case studies to standards and specifications, and non-functional aspects such as security, performance and scalability. Following an initial introduction by the editors, the contributions are organized into four sections: Open Standards and Specifications, Research Efforts in Grid Database Management, Cloud Data Management, and Scientific Case Studies.With this presentation, the book serves mostly researchers and graduate students, both as an introduction to and as a technical reference for grid and cloud database management. The detailed descriptions of research prototypes dealing with spatiotemporal or genomic data will also be useful for application engineers in these fields.
Grid Computing
by Nikolaos P. PreveThis book presents research from many of the major projects involved in the emerging global grid infrastructure. With a particular focus on the practical advantages and applications of grid computing - including real case studies - the book provides an in-depth study of grid technology for a wide range of different needs. Topics: examines a remote instrumentation infrastructure, and a methodology to support e-science applications on e-infrastructures; describes the GEMS storage system, and pipeline workflows for optimizing end-to-end performance in wide-area networks; investigates semantic grid system architecture, social grid agents, and monitoring platforms designed for large-scale distributed systems; explores job control using service-level agreements; introduces the Composable Services Architecture for dynamic service provisioning, and the semantically driven communication middleware platform, Phoenix; discusses the PhyloGrid application, and a numerical simulation performed using grid computing.
Grid Computing: Infrastructure, Service, and Applications
by Lizhe Wang Wei Jie Jinjun ChenIdentifies Recent Technological Developments Worldwide The field of grid computing has made rapid progress in the past few years, evolving and developing in almost all areas, including concepts, philosophy, methodology, and usages. Grid Computing: Infrastructure, Service, and Applications reflects the recent advances in this field, covering the research aspects that involve infrastructure, middleware, architecture, services, and applications. Grid Systems Across the Globe The first section of the book focuses on infrastructure and middleware and presents several national and international grid systems. The text highlights China Research and Development environment Over Wide-area Network (CROWN), several ongoing cyberinfrastructure efforts in New York State, and Enabling Grids for E-sciencE (EGEE), which is co-funded by the European Commission and the world’s largest multidisciplinary grid infrastructure today. The second part of the book discusses recent grid service advances. The authors examine the UK National Grid Service (NGS), the concept of resource allocation in a grid environment, OMIIBPEL, and the possibility of treating scientific workflow issues using techniques from the data stream community. The book describes an SLA model, reviews portal and workflow technologies, presents an overview of PKIs and their limitations, and introduces PIndex, a peer-to-peer model for grid information services. New Projects and Initiatives The third section includes an analysis of innovative grid applications. Topics covered include the WISDOM initiative, incorporating flow-level networking models into grid simulators, system-level virtualization, grid usage in the high-energy physics environment in the LHC project, and the Service Oriented HLA RTI (SOHR) framework. With a comprehensive summary of past advances, this text is a window into the future of this nascent technology, forging a path for the next generation of cyberinfrastructure developers.
Grid Layout in CSS: Interface Layout for the Web
by Eric A. MeyerCSS has had a layout-shaped hole at its center since the beginning. Designers have bent features such as float and clear to help fill that hole, but nothing has quite done the job. Now that's about to change. With this concise guide, you'll learn how to use CSS grid layout, a generalized system that lets you lay out pieces of your design independent of their document source order and with full awareness of the overall design.Short and deep, this book is an excerpt from the upcoming fourth edition of CSS: The Definitive Guide. When you purchase either the print or the ebook edition of Grid Layout in CSS, you'll receive a discount on the entire Definitive Guide once it's released. Why wait? Learn how to make your web pages come alive today.Explore the differences between grid boxes and block containersCreate block-level grids, inline grids, and even nest grids inside gridsLearn best practices for attaching elements to your layout, using explicitly defined grid lines or grid areaUnderstand how the implicit grid automatically adjusts for oversized elementsCreate gutters between grid elements, and align and justify individual itemsEric A. Meyer is an author, speaker, blogger, sometime teacher, and co-founder of An Event Apart. He's a two-decade veteran of the Web and web standards, a past member of the W3C's Cascading Style Sheets Working Group, and the author of O'Reilly's CSS: The Definitive Guide.
Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation
by Seddik Bacha Andrés Ovalle Ahmad HablyThis book is a compilation of recent research on distributed optimization algorithms for the integral load management of plug-in electric vehicle (PEV) fleets and their potential services to the electricity system. It also includes detailed developed Matlab scripts. These algorithms can be implemented and extended to diverse applications where energy management is required (smart buildings, railways systems, task sharing in micro-grids, etc.). The proposed methodologies optimally manage PEV fleets’ charge and discharge schedules by applying classical optimization, game theory, and evolutionary game theory techniques. Taking owner’s requirements into consideration, these approaches provide services like load shifting, load balancing among phases of the system, reactive power supply, and task sharing among PEVs. The book is intended for use in graduate optimization and energy management courses, and readers are encouraged to test and adapt the scripts to their specific applications.
Grids, Clouds and Virtualization
by Giovanni Aloisio Massimo CafaroResearch into grid computing has been driven by the need to solve large-scale, increasingly complex problems for scientific applications. Yet the applications of grid computing for business and casual users did not begin to emerge until the development of the concept of cloud computing, fueled by advances in virtualization techniques, coupled with the increased availability of ever-greater Internet bandwidth. The appeal of this new paradigm is mainly based on its simplicity, and the affordable price for seamless access to both computational and storage resources. This timely text/reference introduces the fundamental principles and techniques underlying grids, clouds and virtualization technologies, as well as reviewing the latest research and expected future developments in the field. Readers are guided through the key topics by internationally recognized experts, enabling them to develop their understanding of an area likely to play an ever more significant role in coming years. Topics and features: presents contributions from an international selection of experts in the field; provides a thorough introduction and overview of existing technologies in grids, clouds and virtualization, including a brief history of the field; examines the basic requirements for performance isolation of virtual machines on multi-core servers, analyzing a selection of system virtualization technologies; examines both business and scientific applications of grids and clouds, including their use in the life sciences and for high-performance computing; explores cloud building technologies, architectures for enhancing grid infrastructures with cloud computing, and cloud performance; discusses energy aware grids and clouds, workflows on grids and clouds, and cloud and grid programming models. This useful text will enable interested readers to familiarize themselves with the key topics of grids, clouds and virtualization, and to contribute to new advances in the field. Researchers, undergraduate and graduate students, system designers and programmers, and IT policy makers will all benefit from the material covered.
Griffon in Action
by Andres Almiray Danno FerrinSummaryGriffon in Action is a comprehensive tutorial written for Java developers who want a more productive approach to UI development. After a quick Groovy tutorial, you'll immediately dive into Griffon and start building examples that explore its high productivity approach to Swing development.About the TechnologyYou can think of Griffon as Grails for the desktop. It is a Groovy-driven UI framework for the JVM that wraps and radically simplifies Swing. Its declarative style and approachable abstractions are instantly familiar to developers using Grails or JavaFX.About the BookGriffon in Action gets you going quickly. Griffon's convention-over-configuration approach requires minimal code to get an app off the ground, so you can start seeing results immediately. You'll learn how SwingBuilder and other Griffon "builders" provide a coherent DSL-driven development experience. Along the way, you'll explore best practices for structure, architecture, and lifecycle of a Java desktop application.Written for Java developers—no experience with Groovy, Grails, or Swing is required. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's InsideGriffon from the ground upFull compatibility with Griffon 1.0Using SwingBuilder and the other "builders"Practical, real-world examplesJust enough Groovy=======================================Table of ContentsPART 1 GETTING STARTEDWelcome to the Griffon revolutionA closer look at GriffonPART 2 ESSENTIAL GRIFFONModels and bindingCreating a viewUnderstanding controllers and servicesUnderstanding MVC groupsMultithreaded applicationsListening to notificationsTesting your applicationShip it!Working with pluginsEnhanced looksGriffon in front, Grails in the backProductivity tools
Grok 1.0 Web Development
by Carlos De GuardiaThe book takes a practical approach and dives into code right from the start. After learning how to install Grok, we create a simple application. We work on this application throughout the book, until its deployment in the last chapter. In each chapter, some new features of Grok will be introduced and explained, then the application will be extended to use them, explaining step-by-step how each feature works. This book is intended for Python developers who want to create web applications but have little or no experience in web development. If you have used other web frameworks but are looking for one that enables you to create more complex applications without losing agility, you will also benefit from this book. The reader is expected to have some basic Python knowledge and at least a general idea of how a web application works.
Grokking Algorithms: An illustrated guide for programmers and other curious people
by Aditya BhargavaSummaryGrokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel.Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-in-motion).Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyAn algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.About the BookGrokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them.What's InsideCovers search, sort, and graph algorithmsOver 400 pictures with detailed walkthroughsPerformance trade-offs between algorithmsPython-based code samplesAbout the ReaderThis easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms.About the AuthorAditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io.Table of ContentsIntroduction to algorithmsSelection sortRecursionQuicksortHash tablesBreadth-first searchDijkstra's algorithmGreedy algorithmsDynamic programmingK-nearest neighbors
Grokking Algorithms, Second Edition
by Aditya Y BhargavaA friendly, fully-illustrated introduction to the most important computer programming algorithms.Master the most widely used algorithms and be fully prepared when you&’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you&’ll actually enjoy learning about algorithms with this fun and friendly guide! In Grokking Algorithms, Second Edition you will discover: Search, sort, and graph algorithms Data structures such as arrays, lists, hash tables, trees, and graphs NP-complete and greedy algorithms Performance trade-offs between algorithms Exercises and code samples in every chapter Over 400 illustrations with detailed walkthroughs The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You&’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book&’s fully annotated code samples have been updated to Python 3. Foreword by Daniel Zingaro. About the technology The algorithms you use most often have already been discovered, tested, and proven. Grokking Algorithms, Second Edition makes it a breeze to learn, understand, and use them. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, it&’s the perfect way to unlock the power of algorithms in your everyday work and prepare for your next coding interview—no math required! About the book Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence. You&’ll even learn to compare the performance tradeoffs between algorithms. Plus, this new edition includes fresh coverage of trees, NP-complete problems, and code updates to Python 3. What's inside Search, sort, and graph algorithms Data structures such as arrays, lists, hash tables, trees, and graphs NP-complete and greedy algorithms Exercises and code samples in every chapter About the reader No advanced math or programming skills required. About the author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents 1 Introduction to algorithms 2 Selection sort 3 Recursion 4 Quicksort 5 Hash tables 6 Beadth-first search 7 Trees 8 Balanced trees 9 Dijkstra&’s algorithm 10 Greedy algorithms 11 Dynamic programming 12 k-nearest neighbors 13 where to go next
Grokking Artificial Intelligence Algorithms
by Rishal Hurbans&”This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way.&” - David Jacobs, Product Advance Local Key Features Master the core algorithms of deep learning and AI Build an intuitive understanding of AI problems and solutions Written in simple language, with lots of illustrations and hands-on examples Creative coding exercises, including building a maze puzzle game and exploring drone optimizationAbout The Book &“Artificial intelligence&” requires teaching a computer how to approach different types of problems in a systematic way. The core of AI is the algorithms that the system uses to do things like identifying objects in an image, interpreting the meaning of text, or looking for patterns in data to spot fraud and other anomalies. Mastering the core algorithms for search, image recognition, and other common tasks is essential to building good AI applications Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts.You&’ll explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. All you need is the algebra you remember from high school math class and beginning programming skills. What You Will Learn Use cases for different AI algorithms Intelligent search for decision making Biologically inspired algorithms Machine learning and neural networks Reinforcement learning to build a better robot This Book Is Written For For software developers with high school–level math skills. About the Author Rishal Hurbans is a technologist, startup and AI group founder, and international speaker. Table of Contents 1 Intuition of artificial intelligence 2 Search fundamentals 3 Intelligent search 4 Evolutionary algorithms 5 Advanced evolutionary approaches 6 Swarm intelligence: Ants 7 Swarm intelligence: Particles 8 Machine learning 9 Artificial neural networks 10 Reinforcement learning with Q-learning