Adam Nicolson is the author of many books on history, travel and the environment. He is the winner of the Somerset Maugham Award, the British Topography Prize and the WH Heinemann Award. He lives on a farm in Sussex. This is his fith book for HarperCollins – his previous four being ‘Men of Honour’, ‘Sea Room’, ‘Power and Glory’ and ‘Seamanship’.

Elizabeth Warren is the senior U.S. Senator from Massachusetts. A former Harvard Law School professor, she is the author of ten books, including A Fighting Chance, a national bestseller that received widespread critical acclaim. One of nation’s most influential progressives, she has long been a champion of working families and the middle class. The mother of two and grandmother of three, she lives in Cambridge, Massachusetts, with her husband, Bruce Mann.

John Gribbin gained a PhD from the Institute of Astronomy in Cambridge (then under the leadership of Fred Hoyle), before working as a science journalist for Nature and later New Scientist. Mary Gribbin is a teacher with a special gift for communicating difficult concepts, and she is a previous winner of the TES Junior Information Book Award. They have co-written several titles for adults and children. John has written many bestselling popular science books, including Erwin Schr?dinger and the Quantum Revolution, In Search of the Multiverse and The Universe: A Biography. John and Mary are both Visiting Fellows at the University of Sussex.

Demersul Antoanetei Olteanu, reputat? traduc?toare de limba rus? ?iexpert? ?n istoria cultural? a Rusiei, se distinge at?t prin calitatea informa?iilor, adesea inedite, c?t ?i prin compozi?ia complex?, care ?mbin? viziunea sintetic? cu o perspectiv? transcultural? exersat?. Cartea se recomand? de la sine at?t cititorului profesionist, care g?se?te aici o serie de date altfel greu accesibile, c?t ?i celui interesat de istoria ?i cultura Europei ?n ansamblu. Dup? cum anun?? ?i subtitlul, lucrarea reconstituie o istorie cultural? a secolului al XIX-lea, realiz?nd, ?n fapt, o fresc? a uneia dintre cele mai captivante perioade din istoria Rusiei, cea imperial?. Datele prezentate acoper? practic toate Aspectele vie?ii politice, sociale, economice ?i culturale ale acestui interval de timp, marcat at?t de aura ?arilor, c?t ?i de nenum?ratele revolte populare. Tabloul evenimentelor majore este ?ntregit cu minu?ioase inventare de titluri nobiliare, cu date economice consemnate cu acribie, cu o expunere vie a panoramei cutumelor sociale, familiale ?i religioase, merg?nd de la modalit??ile de confec?ionare a juc?riilor sau a bijuteriilor p?n? la istorii ale ceaiului sau vodcii. Atmosfera epocii cap?t? un contur des?v?r?it prin citarea unor fragmente din lucr?ri ?tiin?ifice de referin??, din jurnalele de c?l?torie ?i din publicistica vremii, dar ?i din operele marilor scriitori ai vremii, ca Dostoievski, Gogol ?i Tolstoi. Se contureaz?, astfel, o imagine neconven?ional? a Rusiei, o na?iune confruntat? permanent cu tensiunea unei alegeri fundamentale, care pune ?n opozi?ie modelul str?in ?i inegalabila for?? intern?. Autoarei ?i revine meritul de a fi surprins aspectele esen?iale ale acestei tensiuni, cu ample ecouri ?n perioadamodern? ?i cu evidente efecte asupra mentalit??ii contemporane.

Bestseller interna?ional Descoperi?i volumul al VI-lea dintr-o serie de c?r?i pentru copii a c?ror popularitate a dep??it orice a?tept?ri! ?Pisicile r?zboinice” s-au v?ndut ?n mai mult de 14 milioane de volume ?n peste 20 de ??ri ?i au ap?rut pe lista ?New York Times” a celor mai v?ndute titluri. De genera?ii ?ntregi, patru clanuri de pisici s?lbatice convie?uiesc ?n p?dure, departe de oameni. Au un cod al onoarei ?i pre?uiesc loialitatea. Se antreneaz? ca r?zboinici pentru a-?i proteja Clanurile. Folosesc remedii naturiste pentru a se vindeca. Respect? legile statornicite de ?nainta?i. Sunt ghidate ?n ac?iunile lor de spiritele str?mo?ilor r?zboinici, reuni?i ?n Clanul Stelelor. Ro?covanul este un fost pisoi de cas? care s-a dovedit a fi puternic ?i descurc?re? ?n s?lb?ticie. Dup? ce a fost acceptat ca ucenic ?n Clanul Tunetului sub numele de Lab? de Foc, a primit titulatura de r?zboinic ?i numele Inim? de Foc. Mai departe, vitejia l-a adus p?n? la pozi?ia de secund ?n clan. Pe m?sur? ce conduc?toarea Stea Albastr? se simte tot mai r?u, Inim? de Foc este nevoit s? preia fr?iele. ?n cele din urm?, cel care fusese c?ndva un pisoi de cas? va ajunge chiar liderul Clanului Tunetului, sub numele de Stea de Foc. Dar, tocmai acum, luptele pentru onoare ?i teritoriu devin din ce ?n ce mai ?ncr?ncenate, iar ?ndoielile ?i tr?darea afecteaz? toate clanurile. Pisicile din p?dure tr?iesc vremuri ?ntunecate... Clanul Tunetului este nevoit s? porneasc? la lupt? ?mpotriva lui Stea de Tigru, conduc?torul Clanului Umbrelor. Comploturile ?i setea lui ne??rmurit? de putere arunc? toate cele patru clanuri ?ntr-un r?zboi s?ngeros. Stea de Foc se preg?te?te s?-?i ?nfrunte du?manul, ?ns? pericolul cel mai mare p?nde?te ?n umbr?, lovind pe nea?teptate. Din r?ndul clanurilor se vor ridica noi eroi, iar unii dintre ace?tia ??i vor g?si sf?r?itul... Cele mai sumbre prevestiri ale str?bunilor r?zboinici din Clanului Stelelor se transform? ?n realitate. Pentru a-?i salva clanul, Stea de Foc trebuie s? ?n?eleag? profe?ia lor: ?Cele patru vor deveni dou?. Leul ?i tigrul se vor ?nfrunta ?n lupt?, iar s?ngele va domni ?n p?dure”. Volumul cuprinde h?r?i ?i simboluri din via?a pisicilor r?zboinice. ?O poveste plin? de aventur?, care v? va ?ine cu sufletul la gur?.” - Publishers Weekly ?Un episod palpitant din aventurile pisicilor r?zoinice, care va fi cu siguran?? pe placul cititorilor.“ - ALA Booklist ?Povestea este mereu surprinz?toare; personajele sunt ?nzestrate cu tabieturi ?i comportamente feline autentice.” - VOYA Din aceea?i serie: Pisicile R?zboinice. Cartea I - ?n inima p?durii Pisicile R?zboinice. Cartea II – Foc ?i ghea?? Pisicile R?zboinice. Cartea III – P?durea secretelor Pisicile R?zboinice. Cartea IV – Furtuna Pisicile R?zboinice. Cartea V – O cale primejdioas? ?n cur?nd, apare seria ?Noua profe?ie”! Genera?ia urm?toare se confrunt? cu o profe?ie sumbr?, care amenin?? nu numai clanurile de pisici, ci ?ntreaga p?dure.

Motanul, romanul din 1997 al lui Pat Gray, este o alegorie politic? plin? de umor. C?nd animalele se v?d r?mase singure ?n casa p?r?sit? de st?p?ni, huzurul pa?nic de p?n? atunci las? locul luptei pentru supravie?uire ?i putere. Ce ambi?ii are Motanul? Ce pune la cale ?obolanul? Ce g?nde?te meditativul ?oarece? Vom afla din aceast? poveste care a fost pe bun? dreptate comparat? de critici cu Ferma animalelor orwellian?.

O istorie politico-sentimental? a capitalei noastre. De ce o istorie politico-sentimental?? Pentru c?, ?n evolu?ia Bucure?tiului, de-alungul secolelor, afacerile politice s-au ?mpletit adesea, inevitabil, cu b?t?ile inimii. Chiar prima perioad? a cet??ii, ca ?i capital? domneasc?, tutelat? de figu ra dominant? a doamnei Chiajna, poate fi b?nuit? de un senzualism crud care a deschis drum acelui fenomen pe care Ionescu-Gion ?l numea at?t de plastic ?ginecolatrie“, adic? ascultarea dovedit? de domnitorii valahi fa?? de so?iile lor.

C?teva dintre calit??ile pe care eu le apreciez cel mai mult la o carte sunt simplitatea scriiturii, lipsa de preten?ii intelectuale (prin intermediul c?rora autorul ar vrea s? arate c?t e el de de?tept) ?i naturale?ea textului, adic? autenticitatea. ?#confuz” are toate aceste calit??i. ?n plus, cartea mai beneficiaz? de c?teva atuuri foarte importante: povestea este una universal?, plin? de ?nt?mpl?ri credibile, care se pot ?nt?mpla oric?rui om ?i care pot avea loc oriunde ?n lume, iar scriitura are o oralitate u?or de identificat ?nc? de la primele pagini. (Adrian Tele?pan) ?#confuz” nu e o carte despre homosexualitate. E o carte despre oameni. Despre drumul fiec?ruia spre el ?nsu?i. Despre puterea de a accepta ce g?se?ti atunci c?nd ajungi la tine. Despre a nu te (mai) min?i. Nu atunci c?nd e?ti singur ?i gol ?i te prive?ti ?n ochii sufletului. Pentru c?, atunci, nu ?i vei mai min?i nici pe al?ii. Iar ?sta e primul pas spre asumare. ?i numai a?a vei putea fi fericit. ?#confuz” e o carte despre fericire. Copile, via?a e prea scurt? pentru a fi nefericit. Vrei s? fii o alt? umbr? care trece indiferent? prin via??? (Laura Nureldin) ?ti?i melodiile alea pe care le auzi o singur? dat? ?i te treze?ti fredon?ndu-le o or? mai t?rziu? E semn c? au intrat ?n tine. Cam a?a e ?i cu cartea asta. Nu e Beethoven. E un c?ntec care pare n?scut la o chitar?, pe plaj?, l?ng? un foc de tab?r?, sub luna plin?. ?l ascul?i z?mbind ?i ??i d? o stare de plin. ??i r?m?ne pe piele ca ni?te fire de nisip. G?ndul nu ??i fuge ?n alt? parte. E?ti acolo, ascul?i ?i admiri sinceritatea omului care improvizeaz? la chitar? f?r? s? ?ncerce s? ??i demonstreze nimic. C?nt? liber despre ceva-ul lui, timpul trece pe nesim?ite, s?dind ?n tine o senza?ie de bine. S? mai c?n?i, Alex! S? mai c?n?i! (Natalie Ester) Dincolo de sui?uri ?i cobor??uri, de momente-surpriz? ?i certuri interminabile, de scene erotice pasionale ?i absurd cotidian, acest roman e un incredibil de reu?it portret al energiei s?lbatice, al confuziei mascate ?n obstina?ie, pe care numai la 20 de ani o po?i tr?i. ?i tu, drag? cititorule, ai fost confuz odat?. ?i ce bine a fost. Lectur? pl?cut?. (Lorena Lupu)

Holtodiglan

Rendhagyó útinapló egy egzotikus világról és a n?i lélekr?l Akkor kezdtem ábrándozni a ?sz?késr?l”, amikor gyerekkoromban beszereztem egy már akkor is ciki pálmafás-tengerpartos posztert a zsebpénzemb?l, és felragasztottam a gyerekszobám falára, nem zavartatva magam szüleim d?bbent pillantásától. Attól kezdve a téli estéken odaképzeltem magam a kókuszpálma alá, ahol h?ség van, és – bár akkor még nem jártam tengerparton – szinte hallottam a tenger zúgását, egészen elalvásig. Elérkezett az id?, hogy beváltsam a magamnak tett ígéretet, és teljesülj?n a gyerekkori álmom: néhány éve télen ?megsz?ktem” kedvenc városomba, Bangkokba, és k?rbeutaztam Délkelet-?zsiát. Találkozásokról, naplementékr?l, ázsiai mesékr?l és elképeszt? sorsokról, egzotikus nagyvárosi lüktetésr?l, lakatlan szigetekr?l és egy másfajta életszemléletr?l szól ez a k?nyv, amit egy thai pálma alatt kezdtem írni. ?t forró, napsütéses téli hónap alatt sokat tanultam, és szinte minden megváltozott bennem és k?rül?ttem: a sors akaratából megtanultam elengedni, sorsfordító d?ntéseket hoztam, szembenéztem ?nmagammal, az újságíróval, a n?vel, az emberrel, mint talán még soha azel?tt. Ez a k?nyv nem a képzelet szüleménye, de ahányszor beleolvasok, a képzeletemben újra utazom, újra ott vagyok azok k?z?tt az emberek k?z?tt, akikt?l meg lehet tanulni ?LNI. Csupa nagybet?vel. Fej?s ?va

Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models. About This Book ? Learn Theano basics and evaluate your mathematical expressions faster and in an efficient manner ? Learn the design patterns of deep neural architectures to build efficient and powerful networks on your datasets ? Apply your knowledge to concrete fields such as image classification, object detection, chatbots, machine translation, reinforcement agents, or generative models. Who This Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence, to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets. Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus. What You Will Learn ? Get familiar with Theano and deep learning ? Provide examples in supervised, unsupervised, generative, or reinforcement learning. ? Discover the main principles for designing efficient deep learning nets: convolutions, residual connections, and recurrent connections. ? Use Theano on real-world computer vision datasets, such as for digit classification and image classification. ? Extend the use of Theano to natural language processing tasks, for chatbots or machine translation ? Cover artificial intelligence-driven strategies to enable a robot to solve games or learn from an environment ? Generate synthetic data that looks real with generative modeling ? Become familiar with Lasagne and Keras, two frameworks built on top of Theano In Detail This book offers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing numerical expressions and deep learning models easy on CPU or GPU. The book provides some practical code examples that help the beginner understand how easy it is to build complex neural networks, while more experimented data scientists will appreciate the reach of the book, addressing supervised and unsupervised learning, generative models, reinforcement learning in the fields of image recognition, natural language processing, or game strategy. The book also discusses image recognition tasks that range from simple digit recognition, image classification, object localization, image segmentation, to image captioning. Natural language processing examples include text generation, chatbots, machine translation, and question answering. The last example deals with generating random data that looks real and solving games such as in the Open-AI gym. At the end, this book sums up the best -performing nets for each task. While early research results were based on deep stacks of neural layers, in particular, convolutional layers, the book presents the principles that improved the efficiency of these architectures, in order to help the reader build new custom nets. Style and approach It is an easy-to-follow example book that teaches you how to perform fast, efficient computations in Python. Starting with the very basics-NumPy, installing Theano, this book will take you to the smooth journey of implementing Theano for advanced computations for machine learning and deep learning.

Build scalable, reliable, and cost-effective applications with a serverless architecture About This Book ? Design a real-world serverless application from scratch ? Learn about AWS Lambda function and how to use Lambda functions to glue other AWS Services ? Use the Java programming language and well-known design patterns. Although Java is used for the examples in this book, the concept is applicable across all languages ? Learn to migrate your JAX-RS application to AWS Lambda and API Gateway Who This Book Is For This book is for developers and software architects who are interested in designing on the back end. Since the book uses Java to teach concepts, knowledge of Java is required. What You Will Learn ? Learn to form microservices from bigger Softwares ? Orchestrate and scale microservices ? Design and set up the data flow between cloud services and custom business logic ? Get to grips with cloud provider’s APIs, limitations, and known issues ? Migrate existing Java applications to a serverless architecture ? Acquire deployment strategies ? Build a highly available and scalable data persistence layer ? Unravel cost optimization techniques In Detail Over the past years, all kind of companies from start-ups to giant enterprises started their move to public cloud providers in order to save their costs and reduce the operation effort needed to keep their shops open. Now it is even possible to craft a complex software system consisting of many independent micro-functions that will run only when they are needed without needing to maintain individual servers. The focus of this book is to design serverless architectures, and weigh the advantages and disadvantages of this approach, along with decision factors to consider. You will learn how to design a serverless application, get to know that key points of services that serverless applications are based on, and known issues and solutions. The book addresses key challenges such as how to slice out the core functionality of the software to be distributed in different cloud services and cloud functions. It covers basic and advanced usage of these services, testing and securing the serverless software, automating deployment, and more. By the end of the book, you will be equipped with knowledge of new tools and techniques to keep up with this evolution in the IT industry. Style and approach The book takes a pragmatic approach, showing you all the examples you need to build efficient serverless applications.

Use scikit-learn to apply machine learning to real-world problems About This Book ? Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks ? Learn how to build and evaluate performance of efficient models using scikit-learn ? Practical guide to master your basics and learn from real life applications of machine learning Who This Book Is For This book is intended for software engineers who want to understand how common machine learning algorithms work and develop an intuition for how to use them, and for data scientists who want to learn about the scikit-learn API. Familiarity with machine learning fundamentals and Python are helpful, but not required. What You Will Learn ? Review fundamental concepts such as bias and variance ? Extract features from categorical variables, text, and images ? Predict the values of continuous variables using linear regression and K Nearest Neighbors ? Classify documents and images using logistic regression and support vector machines ? Create ensembles of estimators using bagging and boosting techniques ? Discover hidden structures in data using K-Means clustering ? Evaluate the performance of machine learning systems in common tasks In Detail Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. This book examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn’s API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model’s performance. By the end of this book, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach. Style and approach This book is motivated by the belief that you do not understand something until you can describe it simply. Work through toy problems to develop your understanding of the learning algorithms and models, then apply your learnings to real-life problems.

Over 60 hands-on recipes that get you acquainted with Drupal 8's features and help you harness its power About This Book ? Discover the enhanced content authoring experience that comes with Drupal 8 and how to customize it ? Take advantage of the broadened multilingual and tools of the new version to provide an internationalized website ? This step-by-step guide will show you how to deploy from development, staging, and production of a website with Drupal 8's brand new configuration management system Who This Book Is For The audience of the Drupal 8 Cookbook have been using Drupal and are ready to get a grasp of what to expect in Drupal 8. They have worked with Drupal as site builders, back-end developers, and front-end developers and are eager to see what awaits when they start using Drupal 8. This book will be a resource that allows them to get started and have a reference to building new applications with Drupal. What You Will Learn ? Extend Drupal through contributed or custom modules and themes ? Develop an internationalized website with Drupal's multilingual tools ? Integrate third-party front-end and back-end libraries with Drupal ? Turn Drupal into a web services provider using REST ? Create a mobile-first responsive Drupal application ? Run SimpleTest and PHPUnit to test Drupal ? Understand the plugin system that powers many of Drupal 8's new APIs to extend its functionality ? Get to grips with the mechanics of the configuration management system and the ability to import and export site configuration In Detail Began as a message board, Drupal today is open source software maintained and developed by a community of over 1,000,000 users and developers. Drupal is used by numerous local businesses to global corporations and diverse organizations all across the globe. With Drupal 8’s exciting features it brings, this book will be your go-to guide to experimenting with all of these features through helpful recipes. We’ll start by showing you how to customize and configure the Drupal environment as per your requirements, as well as how to install third-party libraries and then use them in the Drupal environment. Then we will move on to creating blocks and custom modules with the help of libraries. We will show you how to use the latest mobile-first feature of Drupal 8, which will help you make your apps responsive across all the major platforms. This book will also show you how to incorporate multilingual facilities in your sites, use web services and third-party plugins with your applications from inside Drupal 8, and test and deploy your apps. Style and approach This practical, recipe-based book will provide you with actionable techniques and methods to improve your existing Drupal development skills.

Learn the art of designing, implementing, and managing Cisco's networking solutions on datacenters, wirelessly, security and mobility to set up an Enterprise network. About This Book ? Implement Cisco's networking solutions on datacenters and wirelessly, Cloud, Security, and Mobility ? Leverage Cisco IOS to manage network infrastructures. ? A practical guide that will show how to troubleshoot common issues on the network. Who This Book Is For This book is targeted at network designers and IT engineers who are involved in designing, configuring, and operating enterprise networks, and are in taking decisions to make the necessary network changes to meet newer business needs such as evaluating new technology choices, enterprise growth, and adding new services on the network. The reader is expected to have a general understanding of the fundamentals of networking, including the OSI stack and IP addressing. What You Will Learn ? Understand the network lifecycle approach ? Get to know what makes a good network design ? Design components and technology choices at various places in the network (PINS) ? Work on sample configurations for network devices in the LAN/ WAN/ DC, and the wireless domain ? Get familiar with the configurations and best practices for securing the network ? Explore best practices for network operations In Detail Most enterprises use Cisco networking equipment to design and implement their networks. However, some networks outperform networks in other enterprises in terms of performance and meeting new business demands, because they were designed with a visionary approach. The book starts by describing the various stages in the network lifecycle and covers the plan, build, and operate phases. It covers topics that will help network engineers capture requirements, choose the right technology, design and implement the network, and finally manage and operate the network. It divides the overall network into its constituents depending upon functionality, and describe the technologies used and the design considerations for each functional area. The areas covered include the campus wired network, wireless access network, WAN choices, datacenter technologies, and security technologies. It also discusses the need to identify business-critical applications on the network, and how to prioritize these applications by deploying QoS on the network. Each topic provides the technology choices, and the scenario, involved in choosing each technology, and provides configuration guidelines for configuring and implementing solutions in enterprise networks. Style and approach A step-by-step practical guide that ensures you implement Cisco solutions such as enterprise networks, cloud, and data centers, on small-to-large organizations.

Leverage the power of PowerShell to bring the best out of your AWS infrastructure About This Book ? A collection of real-world-tested Powershell *s that can be used to manage your Windows server efficiently ? Follow step-by-step processes to solve your problems with Windows servers using AWS tools ? Design examples that work in the Amazon free usage tier, which lets you run the Windows platform on cloud Who This Book Is For This book will be useful for (but not limited to) Windows System administrators, cloud engineers, architects, DevOps engineers, and all those who want to accomplish tasks on the AWS Public Cloud using PowerShell. What You Will Learn ? Install the AWS Tools for PowerShell 6 ? Understand key services provided by Amazon Web services (AWS) ? Understand the Virtual Private Cloud ? Use PowerShell 6 for AWS Identity and Access Management (IAM) ? Use PowerShell 6 for AWS Elastic Compute Cloud (EC2) ? Use PowerShell 6 for AWS Simple Storage Service (S3) ? Use PowerShell 6 for AWS Relational Database Service (RDS) ? Build fault-tolerant and highly-available applications using PowerShell 6 In Detail AWS Tools for PowerShell 6 shows you exactly how to automate all the aspects of AWS. You can take advantage of the amazing power of the cloud, yet add powerful *s and mechanisms to perform common tasks faster than ever before. This book expands on the Amazon documentation with real-world, useful examples and production-ready *s to automate all the aspects of your new cloud platform. It will cover topics such as managing Windows with PowerShell, setting up security services, administering database services, and deploying and managing networking. You will also explore advanced topics such as PowerShell authoring techniques, and configuring and managing storage and content delivery. By the end of this book, you will be able to use Amazon Web Services to automate and manage Windows servers. You will also have gained a good understanding of automating the AWS infrastructure using simple coding. Style and approach This step-by-step guide starts with simple examples then expands to full-blown administrative tasks leading to the efficient management of Windows servers. Each topic covers a section related to Amazon Web Services products, and the examples are built on one another to deliver a comprehensive library of *s for administrators.

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book ? Master intricacies of R deep learning packages such as mxnet & tensorflow ? Learn application on deep learning in different domains using practical examples from text, image and speech ? Guide to set-up deep learning models using CPU and GPU Who This Book Is For Data science professionals or analysts who have performed machine learning tasks and now want to explore deep learning and want a quick reference that could address the pain points while implementing deep learning. Those who wish to have an edge over other deep learning professionals will find this book quite useful. What You Will Learn ? Build deep learning models in different application areas using TensorFlow, H2O, and MXnet. ? Analyzing a Deep boltzmann machine ? Setting up and Analysing Deep belief networks ? Building supervised model using various machine learning algorithms ? Set up variants of basic convolution function ? Represent data using Autoencoders. ? Explore generative models available in Deep Learning. ? Discover sequence modeling using Recurrent nets ? Learn fundamentals of Reinforcement Leaning ? Learn the steps involved in applying Deep Learning in text mining ? Explore application of deep learning in signal processing ? Utilize Transfer learning for utilizing pre-trained model ? Train a deep learning model on a GPU In Detail Deep Learning is the next big thing. It is a part of machine learning. It's favorable results in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians. This book will help you to get through the problems that you face during the execution of different tasks and Understand hacks in deep learning, neural networks, and advanced machine learning techniques. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance. By the end of the book, you will have a logical understanding of Deep learning and different deep learning packages to have the most appropriate solutions for your problems. Style and approach Collection of hands-on recipes that would act as your all-time reference for your deep learning needs

Over 50 recipes to help you build applications hosted on Serverless architecture using Azure Functions. About This Book ? Enhance Azure Functions with continuous deployment using Visual Studio Team Services ? Learn to deploy and manage cost-effective and highly available serverless applications using Azure Functions ? This recipe-based guide will teach you to build a robust serverless environment Who This Book Is For If you are a Cloud administrator, architect, or developer who wants to build scalable systems and deploy serverless applications with Azure functions, then this book is for you. Prior knowledge and hands-on experience with core services of Microsoft Azure is required. What You Will Learn ? Develop different event-based handlers supported by serverless architecture supported by Microsoft Cloud Platform – Azure ? Integrate Azure Functions with different Azure Services to develop Enterprise-level applications ? Get to know the best practices in organizing and refactoring the code within the Azure functions ? Test, troubleshoot, and monitor the Azure functions to deliver high-quality, reliable, and robust cloud-centric applications ? Automate mundane tasks at various levels right from development to deployment and maintenance ? Learn how to develop statefulserverless applications and also self-healing jobs using DurableFunctions In Detail Microsoft provides a solution to easily run small segment of code in the Cloud with Azure Functions. Azure Functions provides solutions for processing data, integrating systems, and building simple APIs and microservices. The book starts with intermediate-level recipes on serverless computing along with some use cases on benefits and key features of Azure Functions. Then, we’ll deep dive into the core aspects of Azure Functions such as the services it provides, how you can develop and write Azure functions, and how to monitor and troubleshoot them. Moving on, you’ll get practical recipes on integrating DevOps with Azure functions, and providing continuous integration and continous deployment with Visual Studio Team Services. It also provides hands-on steps and tutorials based on real-world serverless use cases, to guide you through configuring and setting up your serverless environments with ease. Finally, you’ll see how to manage Azure functions, providing enterprise-level security and compliance to your serverless code architecture. By the end of this book, you will have all the skills required to work with serverless code architecture, providing continuous delivery to your users. Style and approach This recipe-based guide explains the different features of Azure Function by taking a real-world application related to a specific domain. You will learn how to implement automation and DevOps and discover industry best practices to develop applications hosted on serverless architecture using Azure functions.

Unleash the combination of Docker and Jenkins in order to enhance the DevOps workflow About This Book ? Build reliable and secure applications using Docker containers. ? Create a complete Continuous Delivery pipeline using Docker, Jenkins, and Ansible. ? Deliver your applications directly on the Docker Swarm cluster. ? Create more complex solutions using multi-containers and database migrations. Who This Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets. Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus. What You Will Learn ? Get to grips with docker fundamentals and how to dockerize an application for the Continuous Delivery process ? Configure Jenkins and scale it using Docker-based agents ? Understand the principles and the technical aspects of a successful Continuous Delivery pipeline ? Create a complete Continuous Delivery process using modern tools: Docker, Jenkins, and Ansible ? Write acceptance tests using Cucumber and run them in the Docker ecosystem using Jenkins ? Create multi-container applications using Docker Compose ? Managing database changes inside the Continuous Delivery process and understand effective frameworks such as Cucumber and Flyweight ? Build clustering applications with Jenkins using Docker Swarm ? Publish a built Docker image to a Docker Registry and deploy cycles of Jenkins pipelines using community best practices In Detail The combination of Docker and Jenkins improves your Continuous Delivery pipeline using fewer resources. It also helps you scale up your builds, automate tasks and speed up Jenkins performance with the benefits of Docker containerization. This book will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. It will start with setting up a Docker server and configuring Jenkins on it. It will then provide steps to build applications on Docker files and integrate them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, and configuration management. Moving on you will learn how to ensure quick application deployment with Docker containers along with scaling Jenkins using Docker Swarm. Next, you will get to know how to deploy applications using Docker images and testing them with Jenkins. By the end of the book, you will be enhancing the DevOps workflow by integrating the functionalities of Docker and Jenkins. Style and approach The book is aimed at DevOps Engineers, developers and IT Operations who want to enhance the DevOps culture using Docker and Jenkins.

Build your own enterprise applications and integration flows with JBoss and its products About This Book ? Build fast, smart, and flexible applications using JBoss ? Couple one or more JBoss products to effectively solve various business problems ? Explore the JBoss product ecosystem for improving the performance of your projects Who This Book Is For If you are a Java developer who wants to have a complete view of the JBoss ecosystem or quickly explore a specific JBoss Product, then this is the book you want. Integrators and consultants, familiar with JBoss, who want integrate several JBoss products within their ongoing project will also find this book useful. What You Will Learn ? Create new applications or integrate existing systems with JBoss products ? Setup and manage a JBoss domain ? Setup and manage a JBoss Fuse cluster with Fabric and Apache Karaf ? Create and deploy OSGi applications on JBoss Fuse containers ? Manage enterprise data with JBoss Datagrid ? Aggregate various data sources with JBoss Data virtualization to offer data as a service ? Optimize your business and workflows with both JBoss Business RulesManagement System and JBoss Business Process Management platforms. In Detail Have you often wondered what is the best JBoss product to solve a specific problem? Do you want to get started with a specific JBoss product and know how to integrate different JBoss products in your IT Systems? Then this is the book for you. Through hands-on examples from the business world, this guide presents details on the major products and how you can build your own Enterprise services around the JBoss ecosystem. Starting with an introduction to the JBoss ecosystem, you will gradually move on to developing and deploying clustered application on JBoss Application Server, and setting up high availability using undertow or HA proxy loadbalancers. As you are moving to a micro service archicture, you will be taught how to package existing Java EE applications as micro service using Swarm or create your new micro services from scratch by coupling most popular Java EE frameworks like JPA, CDI with Undertow handlers. Next, you will install and configure JBoss Data grid in development and production environments, develop cache based applications and aggregate various data source in JBoss data virtualization. You will learn to build, deploy, and monitor integration scenarios using JBoss Fuse and run both producers/consumers applications relying on JBoss AMQ. Finally, you will learn to develop and run business workflows and make better decisions in your applications using Drools and Jboss BPM Suite Platform. Style and Approach The book works through the major JBoss products, with examples and instructions to help you understand each product and how they work together.

Architect your .NET applications by breaking them into really small pieces—microservices—using this practical, example-based guide About This Book ? Start your microservices journey and understand a broader perspective of microservices development ? Build, deploy, and test microservices using ASP.Net MVC, Web API, and Microsoft Azure Cloud ? Get started with reactive microservices and understand the fundamentals behind it Who This Book Is For This book is for .NET Core developers who want to learn and understand microservices architecture and implement it in their .NET Core applications. It’s ideal for developers who are completely new to microservices or have just a theoretical understanding of this architectural approach and want to gain a practical perspective in order to better manage application complexity. What You Will Learn ? Compare microservices with monolithic applications and SOA ? Identify the appropriate service boundaries by mapping them to the relevant bounded contexts ? Define the service interface and implement the APIs using ASP.NET Web API ? Integrate the services via synchronous and asynchronous mechanisms ? Implement microservices security using Azure Active Directory, OpenID Connect, and OAuth 2.0 ? Understand the operations and scaling of microservices in .NET Core ? Understand the testing pyramid and implement consumer-driven contract using pact net core ? Understand what the key features of reactive microservices are and implement them using reactive extension In Detail Microservices is an architectural style that promotes the development of complex applications as a suite of small services based on business capabilities. This book will help you identify the appropriate service boundaries within the business. We'll start by looking at what microservices are, and what the main characteristics are. Moving forward, you will be introduced to real-life application scenarios, and after assessing the current issues, we will begin the journey of transforming this application by splitting it into a suite of microservices. You will identify the service boundaries, split the application into multiple microservices, and define the service contracts. You will find out how to configure, deploy, and monitor microservices, and configure scaling to allow the application to quickly adapt to increased demand in the future. With an introduction to the reactive microservices, you strategically gain further value to keep your code base simple, focusing on what is more important rather than the messy asynchronous calls. Style and approach This guide serves as a stepping stone that helps .NET Core developers in their microservices architecture. This book provides just enough theory to understand the concepts and apply the examples.