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Knowledge Games: How Playing Games Can Solve Problems, Create Insight, and Make Change (Tech.edu: A Hopkins Series on Education and Technology)
by Karen SchrierAre games the knowledge-producers of the future?Imagine if new knowledge and insights came not just from research centers, think tanks, and universities but also from games, of all things. Video games have been viewed as causing social problems, but what if they actually helped solve them? This question drives Karen Schrier’s Knowledge Games, which seeks to uncover the potentials and pitfalls of using games to make discoveries, solve real-world problems, and better understand our world. For example, so-called knowledge games—such as Foldit, a protein-folding puzzle game, SchoolLife, which crowdsources bullying interventions, and Reverse the Odds, in which mobile game players analyze breast cancer data—are already being used by researchers to gain scientific, psychological, and humanistic insights.Schrier argues that knowledge games are potentially powerful because of their ability to motivate a crowd of problem solvers within a dynamic system while also tapping into the innovative data processing and computational abilities of games. In the near future, Schrier asserts, knowledge games may be created to understand and predict voting behavior, climate concerns, historical perspectives, online harassment, susceptibility to depression, or optimal advertising strategies, among other things.In addition to investigating the intersection of games, problem solving, and crowdsourcing, Schrier examines what happens when knowledge emerges from games and game players rather than scientists, professionals, and researchers. This accessible book also critiques the limits and implications of games and considers how they may redefine what it means to produce knowledge, to play, to educate, and to be a citizen.
Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data
by Huajun Chen Heng Ji Le Sun Haixun Wang Tieyun Qian Tong RuanThis book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016. The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.
Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions
by Andrzej M.J. Skulimowski Janusz KacprzykThis volume contains some carefully selected papers presented at the 8th International Conference on Knowledge, Information and Creativity Support Systems KICCS'2013, which was held in Kraków and Wieliczka, Poland in November 2013. In most cases the papers are extended versions with newer results added, representing virtually all topics covered by the conference. The KICCS'2013 focus theme, "Looking into the Future of Creativity and Decision Support Systems", clearly indicates that the growing complexity calls for some deeper and insightful discussions about the future but, obviously, complemented with an exposition of modern present developments that have proven their power and usefulness. Following this theme, the list of topics presented in this volume include some future-oriented fields of research, such as anticipatory networks and systems, foresight support systems, relevant newly-emerging applications, exemplified by autonomous creative systems. Special attention was also given to cognitive and collaborative aspects of creativity.
Knowledge, Information and Creativity Support Systems
by Susumu Kunifuji George Angelos Papadopoulos Andrzej M. J. Skulimowski Janusz KacprzykThisvolume consists of a number of selected papers thatwere presented at the 9th International Conference on Knowledge, Informationand Creativity Support Systems (KICSS 2014) in Limassol, Cyprus, after theywere substantially revised and extended. The 26 regularpapers and 19 short papers included in this proceedings cover all aspects ofknowledge management, knowledge engineering, intelligent information systems,and creativity in an information technology context, including computationalcreativity and its cognitive and collaborative aspects.
Knowledge Science, Engineering and Management
by Franz Lehner Nora FteimiThis book constitutes the refereed proceedings of the 9th International Conference on Knowledge Science, Engineering and Management, KSEM 2016, held in Passau, Germany, in October 2016. The 49 revised full papers presented together with 2 keynotes were carefully selected and reviewed from 116 submissions. The papers are organized in topical sections on Clustering and Classification; Text Mining and Lexical Analysis; Content and Document Analysis; Enterprise Knowled≥ Formal Semantics and Fuzzy Logic; Knowledge Engineering; Knowledge Enrichment and Visualization; Knowledge Management; Knowledge Retrieval; Knowledge Systems and Security; Neural Networks and Artificial Intelligence; Ontologies; and Recommendation Algorithms and Systems.
Knowledge Transfer between Computer Vision and Text Mining
by Radu Tudor Ionescu Marius PopescuThis ground-breaking text/reference divergesfrom the traditional view that computer vision (for image analysis) and stringprocessing (for text mining) are separate and unrelated fields of study,propounding that images and text can be treated in a similar manner for thepurposes of information retrieval, extraction and classification. Highlightingthe benefits of knowledge transfer between the two disciplines, the textpresents a range of novel similarity-based learning (SBL) techniques founded onthis approach. Topics and features: describes a variety of SBL approaches,including nearest neighbor models, local learning, kernel methods, andclustering algorithms; presents a nearest neighbor model based on a noveldissimilarity for images; discusses a novel kernel for (visual) wordhistograms, as well as several kernels based on a pyramid representation; introducesan approach based on string kernels for native language identification; containslinks for downloading relevant open source code.
Knowledge Unbound: Selected Writings on Open Access, 2002-2011 (The\mit Press Ser.)
by Peter SuberInfluential writings make the case for open access to research, explore its implications, and document the early struggles and successes of the open access movement. Peter Suber has been a leading advocate for open access since 2001 and has worked full time on issues of open access since 2003. As a professor of philosophy during the early days of the internet, he realized its power and potential as a medium for scholarship. As he writes now, “it was like an asteroid crash, fundamentally changing the environment, challenging dinosaurs to adapt, and challenging all of us to figure out whether we were dinosaurs.” When Suber began putting his writings and course materials online for anyone to use for any purpose, he soon experienced the benefits of that wider exposure. In 2001, he started a newsletter—the Free Online Scholarship Newsletter, which later became the SPARC Open Access Newsletter—in which he explored the implications of open access for research and scholarship. This book offers a selection of some of Suber's most significant and influential writings on open access from 2002 to 2010. In these texts, Suber makes the case for open access to research; answers common questions, objections, and misunderstandings; analyzes policy issues; and documents the growth and evolution of open access during its most critical early decade.
Kubernetes: Dive into the Future of Infrastructure
by Kelsey Hightower Brendan Burns Joe BedaLegend has it that Google deploys over two billion application containers a week. How’s that possible? Google revealed the secret through a project called Kubernetes, an open source cluster orchestrator (based on its internal Borg system) that radically simplifies the task of building, deploying, and maintaining scalable distributed systems in the cloud. This practical guide shows you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.Authors Kelsey Hightower, Brendan Burns, and Joe Beda—who’ve worked on Kubernetes at Google and other organizatons—explain how this system fits into the lifecycle of a distributed application. You will learn how to use tools and APIs to automate scalable distributed systems, whether it is for online services, machine-learning applications, or a cluster of Raspberry Pi computers.Explore the distributed system challenges that Kubernetes addressesDive into containerized application development, using containers such as DockerCreate and run containers on Kubernetes, using the docker image format and container runtimeExplore specialized objects essential for running applications in productionReliably roll out new software versions without downtime or errorsGet examples of how to develop and deploy real-world applications in Kubernetes
Kubernetes: Dive into the Future of Infrastructure
by Brendan Burns Joe Beda Kelsey HightowerKubernetes radically changes the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. The updated edition of this practical book shows developers and ops personnel how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.Kelsey Hightower, Brendan Burns, and Joe Beda—who’ve worked on Kubernetes at Google and beyond—explain how this system fits into the lifecycle of a distributed application. You’ll learn how to use tools and APIs to automate scalable distributed systems, whether it’s for online services, machine learning applications, or a cluster of Raspberry Pi computers.Create a simple cluster to learn how Kubernetes worksDive into the details of deploying an application using KubernetesLearn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secretsExplore deployments that tie together the lifecycle of a complete applicationGet practical examples of how to develop and deploy real-world applications in Kubernetes
Kubernetes Cookbook
by Hideto Saito Ke-Jou Carol Hsu Hui-Chuan Chloe LeeLearn how to automate and manage your Linux containers and improve the overall performance of your system About This Book * Are you using containers in your organization and want to better manage, scale, and orchestrate apps on the container? Use the recipes in the book to find a reliable solution from experts * This is the first and only book on the market on Kubernetes, and it will show how to manage your containers in production using Kubernetes * Buy this book, simply follow the recipes, and you will be the master of your Linux containers Who This Book Is For The book is aimed at system administrators who have intermediate level of knowledge with Kubernetes and want to better manage their applications deployed over containers. Also, it will help those administrators who want to maintain and scale applications on these containers. What You Will Learn * Get to know how to build your own container cluster * Deploy and manage highly scalable applications using Kubernetes * Discover how to build high availability Kubernetes clusters * Find out how to build a continuous delivery pipeline for your application * Track metrics and logs for every container running in your cluster * Streamline the way you deploy and manage your applications with large-scale container orchestration In Detail Kubernetes is Google's solution to managing a cluster of containers. Kubernetes provides a declarative API to manage clusters while giving us a lot of flexibility. This book will provide you with recipes to better manage containers in different scenarios in production using Kubernetes. We will start by giving you a quick brush up on how Kubernetes works with containers along with an overview of the main Kubernetes features such as Pods, Replication Controllers, and more. Next, we will teach you how to create Kubernetes cluster and how to run programs on Kubernetes. We'll explain features such as High Availability Kubernetes master setup, using Kubernetes with Docker, and orchestration with Kubernetes using AWS. Later, will show you how to use Kubernetes-UI, and how to set up and manage Kubernetes clusters on the cloud and bare metal. Upon completion of this book, you will be able use Kubernetes in production and will have a better understanding of how to manage your containers using Kubernetes. Style and approach This recipe-based book precisely teaches you how to use Kubernetes in production and how to better manage your containers using Kubernetes.
Kubernetes Microservices with Docker
by Deepak VohraStart using Kubernetes in complex big data and enterprise applications, including Docker containers. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes. Next, Kubernetes Microservices with Docker discusses using Kubernetes with all major groups of technologies such as relational databases, NoSQL databases, and in the Apache Hadoop ecosystem. The book concludes with using multi container pods and installing Kubernetes on a multi node cluster. What You Will Learn Install Kubernetes on a single node Set environment variables Create multi-container pods using Docker Use volumes Use Kubernetes with the Apache Hadoop ecosystem, NoSQL databases, and RDBMSs Install Kubernetes on a multi-node cluster Who This Book Is For Application developers including Apache Hadoop developers, database developers and NoSQL developers.
La guida non-ufficiale a Minecraft
by Loris Palmitesta Joshua Abbott*GUIDA NON UFFICIALE* In aggiunta all'acquisto di questo eBook potrete segnarvi al nostro programma gratuito in supplemento a questa guida.Copiando il link in basso avrete accesso a tutti gli ultimi update per tutte le app più popolari per videogiochi. Registrati gratuitamente dal link qui in basso: http://emailsignupform.subscribemenow.com/ Consigli Avanzati e Guida strategica. Questa è l'unica guida dettaglia e completa che troverete online. Disponibile subito per il download sul tuo cellulare, su qualunque lettore eBook o in formato cartaceo. Con il successo del mio migliaio di guide e strategie scritte ho deciso di compilare un'altra guida ottima sia per i veterani che per i nuovi giocatori. Questa guida dà consigli specifici su come avanzare nel gioco, sconfiggere i propri nemici, acquisire più monete e ricchezze e tanto altro ancora! Ecco cosa avrai quando acquisterai questa guida professionale avanzata e dettagliata di gioco. - Consigli e strategie da professionista. - Trucchi e Hacks. - Segreti, Consigli, Trucchi e Sbloccabili usati dai Pro Players! - Come ammucchiare tonnellare di monete/soldi. - MOLTO ALTRO ANCORA! Tutte le versioni di questa guida contengono degli screenshot per aiutarti a capire meglio il gioco.Non c'è un'altra guida così completa e dettagliata del gioco. Sarai felice di aver acquistato questa guida e ne trarrai subito grandi benefici se paragonati a quelli che avresti avuto con qualunque altra guida. Acquista adesso e sconfiggi i tuoi nemici! Diventa un Pro Player Adesso! Per supporto e più informazioni su i nostri prodotti perfavore visita il nostro sito: http://www.hiddenstuffentertainment.com/ Disclaimer: Questo prodotto non è associato, affiliato, sponsorizzato o certificato dal Possessore del Copyright Originale.Tutti i marchi e i marchi registrati che appaiono in questo ebook sono di proprietà dei loro rispettivi proprietari.
La sicurezza informatica è come il sesso sicuro: bisogna metterli in pratica per evitare le infezioni (Serie dei Computer #1)
by Richard G Lowe Jr Cristina PuppoProteggete il vostro computer, le vostre informazioni di valore e le foto senza dilapidare il budget o pagare un esperto. Che cosa succede se un paio di nuove abitudini riducono drasticamente le possibilità del sistema di essere infettato da un virus o attaccato da un hacker? Immaginate la navigazione sul web senza preoccuparvi del terrore delle frodi con la carta di credito o del furto di identità? E se fosse possibile tenere i cattivi alla larga con un paio di semplici applicazioni? Esperto di Sicurezza e Dirigente Informatico, Richard Lowe, propone i semplici passi da seguire per proteggere i vostri computer, foto e informazioni da malintenzionati e virus. Utilizzando esempi di facile comprensione e spiegazioni semplici, Lowe spiega perché agli hacker interessa il vostro computer, che cosa se ne fanno delle vostre informazioni e cosa dovete fare per tenerli a bada. Lowe risponde alla domanda: come restare al sicuro nel selvaggio west di internet. Cosa imparerete leggendo questo libro? * Cosa accidenti stanno tentando di fare gli hacker con il vostro computer e i vostri dati? * Come proteggere il vostro computer dai virus. * Il modo migliore per tenere i vostri account online al sicuro dagli hacker cattivi. * Come tenere i vostri dati e le foto al sicuro dai computer che si bloccano e dai disastri. * Come evitare che gli intrusi utilizzino la vostra rete wireless per violare il vostro computer. * Come proteggervi sulla rete Wi-Fi. del bar. * Come utilizzare in sicurezza il computer di un hotel o un computer pubblico. * Come costruire un firewall intorno al vostro computer per tenere fuori i malintenzionati. * Come proteggere il vostro computer dai virus utilizzando un antivirus. * Come rendere sicura la vostra rete domestica. * E molti, molti altri suggerimenti e tecniche per tenere i vostri dati, il vostro credito e la vostra vita al sicuro. Acquistate questo libro ADESSO prima che sia troppo tardi!
Langford's Basic Photography: The Guide for Serious Photographers
by Richard Sawdon Smith Anna FoxThis seminal photography text, now in its 10th edition and celebrating its 50th anniversary, has been revamped, reorganized, and modernized to include the most up-to-date, need to know information for photographers. Ideal for students, beginners, and advanced users wanting to brush up on the fundamentals of photography, this book is a must have for any photographer’s bookcase. The heart of this text, however, retains the same comprehensive mix of scholarly and practical information. The new edition has been fully updated to reflect dynamic changes in the industry. These changes include: an expansion and overhaul of the information on digital cameras and digital printing; an emphasis on updating photographs to include a wider range of international work; replacement of many diagrams with photos; overhaul of the analogue sections to give a more modern tone (ie exposure measurement and film and filters with some more dynamic photo illustrations).
Language and Automata Theory and Applications
by Adrian-Horia Dediu Jan Janoušek Carlos Martín-Vide Bianca TrutheThis book constitutes the refereed proceedings of the 10th InternationalConference on Language and Automata Theory and Applications, LATA 2016, held inPrague, Czech Republic, in March 2016. The 42 revised full papers presented together with 5 invited talks werecarefully reviewed and selected from 119 submissions. The papers cover thefollowing topics: algebraic language theory; algorithms for semi-structureddata mining, algorithms on automata and words; automata and logic; automata forsystem analysis and program verification; automata networks, concurrency andPetri nets; automatic structures; cellular automata, codes, combinatorics onwords; computational complexity; data and image compression; descriptionalcomplexity; digital libraries and document engineering; foundations of finitestate technology; foundations of XML; fuzzy and rough languages; grammaticalinference and algorithmic learning; graphs and graph transformation; languagevarieties and semigroups; parallel and regulated rewriting; parsing; patterns;string and combinatorial issues in computational biology and bioinformatics;string processing algorithms; symbolic dynamics; term rewriting; transducers;trees, tree languages and tree automata; weighted automata.
Language in Complexity
by Francesco La Mantia Ignazio Licata Pietro PercontiThis contributed volume explores the achievements gained and the remaining puzzling questions by applying dynamical systems theory to the linguistic inquiry. In particular, the book is divided into three parts, each one addressing one of the following topics: 1) Facing complexity in the right way: mathematics and complexity 2) Complexity and theory of language 3) From empirical observation to formal models: investigation of specific linguistic phenomena, like enunciation, deixis, or the meaning of the metaphorical phrases The application of complexity theory to describe cognitive phenomena is a recent and very promising trend in cognitive science. At the time when dynamical approaches triggered a paradigm shift in cognitive science some decade ago, the major topic of research were the challenges imposed by classical computational approaches dealing with the explanation of cognitive phenomena like consciousness, decision making and language. The target audience primarily comprises researchers and experts in the field but the book may also be beneficial for graduate and post-graduate students who want to enter the field.
Languages and Compilers for Parallel Computing
by Xipeng Shen Frank Mueller James TuckThisbook constitutes the thoroughly refereed post-conference proceedings of the 28thInternational Workshop on Languages and Compilers for Parallel Computing, LCPC2015, held in Raleigh, NC, USA, in September 2015. The19 revised full papers were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on programming models, optimizingframework, parallelizing compiler, communication and locality, parallelapplications and data structures, and correctness and reliability.
Languages, Design Methods, and Tools for Electronic System Design
by Rolf Drechsler Robert WilleThisbook brings together a selection of the best papers from the eighteenth editionof the Forum on specification and Design Languages Conference (FDL), which tookplace on September 14-16, 2015, in Barcelona, Spain. FDL is a well-established international forumdevoted to dissemination of research results, practical experiences and newideas in the application of specification, design and verification languages tothe design, modeling and verification of integrated circuits, complexhardware/software embedded systems, and mixed-technology systems.
Languages, Design Methods, and Tools for Electronic System Design
by Julio Luis Medina Pasaje Frank OppenheimerThis book brings together a selection of the best papers from the seventeenth edition of the Forum on specification and Design Languages Conference (FDL), which took place on October 14-16, 2014, in Munich, Germany. FDL is a well-established international forum devoted to dissemination of research results, practical experiences and new ideas in the application of specification, design and verification languages to the design, modeling and verification of integrated circuits, complex hardware/software embedded systems, and mixed-technology systems.
Laravel: A Framework for Building Modern PHP Apps
by Matt StaufferWhat sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its vast ecosystem of tools let you quickly build new sites and applications with clean, readable code. With this practical guide, Matt Stauffer--a leading teacher and developer in the Laravel community--provides the definitive introduction to one of today's most popular web frameworks.The book's high-level overview and concrete examples will help experienced PHP web developers get started with Laravel right away. By the time you reach the last page, you should feel comfortable writing an entire application in Laravel from scratch.Dive into several features of this framework, including:Blade, Laravel's powerful, custom templating toolTools for gathering, validating, normalizing, and filtering user-provided dataLaravel's Eloquent ORM for working with the application's databasesThe Illuminate request object, and its role in the application lifecyclePHPUnit, Mockery, and PHPSpec for testing your PHP codeLaravel's tools for writing JSON and RESTful APIsInterfaces for file system access, sessions, cookies, caches, and searchTools for implementing queues, jobs, events, and WebSocket event publishingLaravel's specialty packages: Scout, Passport, Cashier, Echo, Elixir, Valet, and Socialite
Laravel: A Framework for Building Modern PHP Apps
by Matt StaufferWhat sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its vast ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to cover Laravel 5.8, the latest release, the second edition of this practical guide provides the definitive introduction to one of today’s most popular web frameworks.Matt Stauffer—a leading teacher and developer in the Laravel community—delivers a high-level overview and concrete examples to help experienced PHP web developers get started with Laravel right away. By the time you reach the last page, you should feel comfortable writing an entire application in Laravel from scratch.
Laravel 5.x Cookbook
by Alfred NutileA recipe-based book to help you efficiently create amazing PHP-based applications with Laravel 5.x About This Book * Leverage the amazing new features of Laravel 5.x to create cutting-edge responsive PHP applications. * Create apps with interoperability features and extend these features to your existing applications as well. * Over 60 recipes that combine tried and tested Laravel tips for getting your app working. Who This Book Is For The ideal target audience for this book is PHP developers who have some basic PHP programming knowledge. No previous experience with Laravel is required for this book. What You Will Learn * Optimize Your Gulp and Elixir Workflow * Use Travis to run tests with every push * Build and test your view-based route in PHPUnit * Explore workflows for migrations and seeding * Implement Angular in your Laravel applications * Set up a user authentication system * Integrate the new Billing library and Stripe in your Laravel application * Use the Artisan command-line tool * Test your App in Production with Behat In Detail Laravel is a prominent member of a new generation of web frameworks. It is one of the most popular PHP frameworks and is also free and an open source. Laravel 5 is a substantial upgrade with a lot of new toys, at the same time retaining the features that made Laravel wildly successful. It comes with plenty of architectural as well as design-based changes. The book is a blend of numerous recipes that will give you all the necessary tips you need to build an application. It starts with basic installation and configuration tasks and will get you up-and-running in no time. You will learn to create and customize your PHP app and tweak and re-design your existing apps for better performance. You will learn to implement practical recipes to utilize Laravel's modular structure, the latest method injection, route caching, and interfacing techniques to create responsive modern-day PHP apps that stand on their own against other apps. Efficient testing and deploying techniques will make you more confident with your Laravel skills as you move ahead with this book. Towards the end of the book, you will understand a number of add-ons and new features essential to finalize your application to make it ready for subscriptions. You will be empowered to get your application out to the world. Style and approach This book will have a practical recipe-based approach with dedicated recipes on your daily Laravel tasks (as well as on more advanced issues) that will help you become a pro with Laravel 5.x
Large-Scale Graph Processing Using Apache Giraph
by Sherif Sakr Faisal Moeen Orakzai Ibrahim Abdelaziz Zuhair KhayyatThis book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in large-scale graph processing, it describes the fundamental abstractions of the system, its programming models and various techniques for using the system to process graph data at scale, including the implementation of several popular and advanced graph analytics algorithms. The book is organized as follows: Chapter 1 starts by providing a general background of the big data phenomenon and a general introduction to the Apache Giraph system, its abstraction, programming model and design architecture. Next, chapter 2 focuses on Giraph as a platform and how to use it. Based on a sample job, even more advanced topics like monitoring the Giraph application lifecycle and different methods for monitoring Giraph jobs are explained. Chapter 3 then provides an introduction to Giraph programming, introduces the basic Giraph graph model and explains how to write Giraph programs. In turn, Chapter 4 discusses in detail the implementation of some popular graph algorithms including PageRank, connected components, shortest paths and triangle closing. Chapter 5 focuses on advanced Giraph programming, discussing common Giraph algorithmic optimizations, tunable Giraph configurations that determine the system's utilization of the underlying resources, and how to write a custom graph input and output format. Lastly, chapter 6 highlights two systems that have been introduced to tackle the challenge of large scale graph processing, GraphX and GraphLab, and explains the main commonalities and differences between these systems and Apache Giraph. This book serves as an essential reference guide for students, researchers and practitioners in the domain of large scale graph processing. It offers step-by-step guidance, with several code examples and the complete source code available in the related github repository. Students will find a comprehensive introduction to and hands-on practice with tackling large scale graph processing problems using the Apache Giraph system, while researchers will discover thorough coverage of the emerging and ongoing advancements in big graph processing systems.
Large Scale Machine Learning with Python
by Luca Massaron Alberto Boschetti Bastiaan SjardinLearn to build powerful machine learning models quickly and deploy large-scale predictive applications About This Book * Design, engineer and deploy scalable machine learning solutions with the power of Python * Take command of Hadoop and Spark with Python for effective machine learning on a map reduce framework * Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This book is for anyone who intends to work with large and complex data sets. Familiarity with basic Python and machine learning concepts is recommended. Working knowledge in statistics and computational mathematics would also be helpful. What You Will Learn * Apply the most scalable machine learning algorithms * Work with modern state-of-the-art large-scale machine learning techniques * Increase predictive accuracy with deep learning and scalable data-handling techniques * Improve your work by combining the MapReduce framework with Spark * Build powerful ensembles at scale * Use data streams to train linear and non-linear predictive models from extremely large datasets using a single machine In Detail Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy. Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. Style and approach This efficient and practical title is stuffed full of the techniques, tips and tools you need to ensure your large scale Python machine learning runs swiftly and seamlessly. Large-scale machine learning tackles a different issue to what is currently on the market. Those working with Hadoop clusters and in data intensive environments can now learn effective ways of building powerful machine learning models from prototype to production. This book is written in a style that programmers from other languages (R, Julia, Java, Matlab) can follow.
Large Scale Machine Learning with Spark
by Md. Mahedi Kaysar Md. Rezaul KarimDiscover everything you need to build robust machine learning applications with Spark 2.0 About This Book * Get the most up-to-date book on the market that focuses on design, engineering, and scalable solutions in machine learning with Spark 2.0.0 * Use Spark's machine learning library in a big data environment * You will learn how to develop high-value applications at scale with ease and a develop a personalized design Who This Book Is For This book is for data science engineers and scientists who work with large and complex data sets. You should be familiar with the basics of machine learning concepts, statistics, and computational mathematics. Knowledge of Scala and Java is advisable. What You Will Learn * Get solid theoretical understandings of ML algorithms * Configure Spark on cluster and cloud infrastructure to develop applications using Scala, Java, Python, and R * Scale up ML applications on large cluster or cloud infrastructures * Use Spark ML and MLlib to develop ML pipelines with recommendation system, classification, regression, clustering, sentiment analysis, and dimensionality reduction * Handle large texts for developing ML applications with strong focus on feature engineering * Use Spark Streaming to develop ML applications for real-time streaming * Tune ML models with cross-validation, hyperparameters tuning and train split * Enhance ML models to make them adaptable for new data in dynamic and incremental environments In Detail Data processing, implementing related algorithms, tuning, scaling up and finally deploying are some crucial steps in the process of optimising any application. Spark is capable of handling large-scale batch and streaming data to figure out when to cache data in memory and processing them up to 100 times faster than Hadoop-based MapReduce. This means predictive analytics can be applied to streaming and batch to develop complete machine learning (ML) applications a lot quicker, making Spark an ideal candidate for large data-intensive applications. This book focuses on design engineering and scalable solutions using ML with Spark. First, you will learn how to install Spark with all new features from the latest Spark 2.0 release. Moving on, you'll explore important concepts such as advanced feature engineering with RDD and Datasets. After studying developing and deploying applications, you will see how to use external libraries with Spark. In summary, you will be able to develop complete and personalised ML applications from data collections,model building, tuning, and scaling up to deploying on a cluster or the cloud. Style and approach This book takes a practical approach where all the topics explained are demonstrated with the help of real-world use cases.