A tévéproducer Laurie Moran boldog, amikor A gyanú árnyékában cím?, megoldatlan b?nügyekkel foglalkozó reality-drámájának kísérleti epizódja sikert arat. ?s most megtalálta az ideális esetet, mely a k?vetkez? rész témája lehet: ez A Hamupip?ke-gyilkosság. Amikor Susan Dempsey-t, a gy?ny?r? és tehetséges Los Angeles-i egyetemistát holtan találták, a gyilkosság számos kérdést vetett fel. Miért parkolt az autója kilométerekre a holttestét?l? Megjelent egyáltalán azon a meghallgatáson, amelyre egy felt?rekv? filmrendez? várta az otthonában? Miért akarja Susan barátja elkerülni a kapcsolatukra vonatkozó kérdéseket? ?sszefüggésben volt az elt?nése egy ellentmondásos egyházzal? Ragyogó m?szaki érzéke miatt állt k?zel a számítástechnika-tanárához, vagy t?bbr?l volt szó? ?s miért hiányzott Susanr?l az egyik cip?je, amikor felfedezték a holttestét? Laurie tudja, hogy a t?rténet t?kéletesen alkalmas a képerny?re, kül?n?sen, hogy a korábbi gyanúsítottak k?z?tt ott vannak Hollywood elitjének tagjai és a technika milliárdosai. De vajon a gyilkos is így gondolja-e? Mary Higgins Clark és Alafair Burke? ?rengeteg intrikát és izgalmat” szállítanak a sorozat új, idegfeszít? darabjában. - Publishers Weekly Talán a perg? iram, talán a sokrét? karakterek miatt, de az els? oldaltól az utolsóig találgat az olvasó.? – Booklist

Szakhmáry Zoltán, a tehetséges fiatal f?ldbirtokos t?bb száz hold f?ld?n gazdálkodik a Kiskunságon. Nem éri be az elmaradott f?ldm?vel?i módszerekkel, modernizálni akar. Mindezt azonban úgy, hogy k?zben saját társadalmi osztályához is ragaszkodik, ? dzsentriként akar mintagazdaságot létrehozni. A lehetetlent kísérti, mint egyébként minden dolgában. Ezt tetézi magánéleti konfliktusa: szeretik a n?k, és ? is odavan a szerelemért, de afféle "egyasszonyos ember", mondta róla maga Móricz. Olyan ember, akinek egyszerre csak egy n? fér meg a vágyaiban: bárhogy rajong is a feleségéért, ha mégis beleszeret valaki másba, akkor már csak érte, a szeret?jéért fog megveszekedni, élni és halni.

Bárdos András évtizedeken át az egyik legismertebb és legfoglalkoztatottabb televíziós riporter volt Magyarországon. Dolgozott a Magyar Televízióban, az RTL Klubon és a TV2-n is, vezetett két minisztereln?k-jel?lti vitát. A Rádió Krónika-m?sorai, Napk?zi, Naptévé, RTL-Híradó, Akták, Tények, Jó estét Magyarország - t?bb ezer interjút készített a k?zélet szerpl?ivel, politikusokkal. 1995 óta tanít a Színház- és Filmm?vészeti Egyetemen, t?bbek k?z?tt kommunikációt is.?Sokat tud a hazugságról, pályája során hallott eleget. Pamela Meyer hazugságról, a hazugság felismerésér?l szóló k?nyvéhez írt el?szavában arról írt, mi t?rténne, ha csak egyetlen napig igazat mondanánk. Ez az e-füzet Bárdos irónikus, mégis halálosan komoly el?szavát tartalmazza a Verj át, ha tudsz cím? k?nyvh?z.

Egy nyugtalan képzelet? koldusfiúcska a XVI. századi London nyomortanyáin k?nyveket olvas, és királyokról álmodik… ?rdekl?dése egy napon egészen a királyi palotáig sodorja, és egyszerre csak bent van a pompás termekben, s a vele egyid?s királyfi játékból ruhacserét ajánl, csak egy-két pillanatra. Nos, ez a játék, kül?nféle félreértések miatt, valóságra fordul! A koldusfiú hónapokon át élheti a királyfiú fenséges, de cseppet sem irigylésre méltó életét, a királyfiú pedig sz?rny? megaláztatások és szenvedések k?zt kénytelen ismereteket, emberséget és b?lcsességet gy?jteni elj?vend? országlása idejére. Mark Twain részrehajlás nélkül mindkét sorsnak a legalaposabban végére járt, mint aki maga is hol koldusnak, hol királyfinak álmodja magát…

Ebben a k?nyvben semmi sem az, aminek látszik.Louise, a fiatal titkárn? talán élete férfijával találkozik egy bárban, de a csók korainak bizonyul, kül?n?sen, miután hétf?n a munkahelyén megpillantja új f?n?két, Davidet – aki persze nem más, mint a férfi a bárból. ?s naná, hogy felesége van. Ami ezután t?rténik, az minden, csak nem megjósolható. Hiába kombinál az olvasó, el?bb-utóbb leesik neki, hogy ebben a szokványosnak látszó szerelmi háromsz?gben igazából semmi sem szokványos. ?s felesleges lenne arra intenünk, hogy inkább ne kedveljen meg egyetlen szerepl?t sem – úgyis képtelen lesz ellenállni. Mígnem egy ponton, amikor a legjobban aggódik majd az illet? sorsa miatt, ráébred: nem is ?t kellett volna féltenie!Sarah Pinborough regénye nem egy szerelmes t?rténet, egy krimi és egy thriller szimpla keveréke. Sokkal félelmetesebb annál. Mert Pinborough regénye elkísér. ?s nem hagy nyugodni. Ne higgy ennek a k?nyvnek!Ne higgy a szerepl?knek!Ne higgy saját magadnak se!?s t?rténjen bármi, senkinek se áruld el a végét! Sarah Pinborough az Egyesült Királyság egyik méltán népszer?, sokszoros díjnyertes romantikust?rténet- és krimiírója, akinek neve az egész világon ismert. Ne higgy a szemének! cím? regényét 19 nyelvre fordítják le, s a magyar kiadást már hetekkel az angliai bemutató után kezükbe vehetik az olvasók.Sarah Pinborough - er? és kecsesség. Egy irodalmi kaméleon! ― Neil GaimanPinborough írása élénk és érzelmileg vibráló. Nem tudtam letenni. ― Stephen KingT?kéletesen kidolgozott karakterek, páratlan írói munka, és egy cselekmény, ami teljes bizonytalanságban tart. A vége pedig úgy fejbe vág, mint mikor a mesében rázuhan egy zongora a nyúl fejére. Engem nem k?nny? leny?g?zni, de ez a k?nyv megtette. ― Joanne HarrisA Ne higgy a szemének! egy s?tét, hátborzongató hangulatú, letehetetlen k?nyv, brilliáns befejezéssel. Hamarosan rajongani fogsz Sarah Pinboroughért! ― Harlan CobenCsavaros pszichológiai thriller. A m?faj sokat látott olvasói is csak találgatnak - az utolsó oldalig. ― Publishers Weekly

Pride And Prejudice, the story of Mrs. Bennet's attempts to marry off her five daughters is one of the best-loved and most enduring classics in English literature. Excitement fizzes through the Bennet household at Longbourn in Hertfordshire when young, eligible Mr. Charles Bingley rents the fine house nearby. He may have sisters, but he also has male friends, and one of these—the haughty, and even wealthier, Mr. Fitzwilliam Darcy—irks the vivacious Elizabeth Bennet, the second of the Bennet girls. She annoys him. Which is how we know they must one day marry. The romantic clash between the opinionated Elizabeth and Darcy is a splendid rendition of civilized sparring. As the characters dance a delicate quadrille of flirtation and intrigue, Jane Austen's radiantly caustic wit and keen observation sparkle.

With the echo of regal church bells still ringing in the ears of royalists and well-wishers worldwide, Fiona Macdonald take a look at the quirky, odd and downright bizarre circumstances surrounding the weddings of the kings, queens, princes and princesses of Britain. One must leave one's sense of decorum at the palace gates as the author tells the wacky stories surrounding the preparations, dresses, ceremonies and national moods that went with the excitement of a royal wedding, from England's resident marriage addict Henry VIII, through Anne Hyde, the 'commoner' who birthed two queens, right up to Prince Charles, Princess Diana and their son and daughter-in-law to be. Featuring facts, figures and family trees, Royal Weddings, A Very Peculiar History is sure to keep one in the spirit of things, even after the last fleck of confetti has touched the ground.

The book explores the role of leisure in modern life. It was written in the belief that leisure sets us apart as a species, that what is "e;useless"e; by commercial standards is probably the best thing we have going for us, and that leisure is under attack, in high danger of being lost, and has been for some time (since at least the end of the Second World War). The source of the problem is the ascendancy of the economic imperative, the subordination of the science of means (philosophy) by the science of ends (economics). The book argues that our leisurely impulse has been so squandered that boredom is now a significant problem in modern life. The essays canvass the distinctive contributions of art, science and religion, and provide a synthetic account of these three forces driving human culture. Although the book covers the science/religion question, this book differs from others on the science/religion debate in that it connects the traditional discussion to questions of economics and social policy. It takes an innovative approach in weaving the fundamentals of human life (art, science, economics and so on) into one fabric, namely, leisure.

"Negyvenkilenc voltam, amikor megszületett az els? és nyilvánvalóan egyetlen gyermekem, Linda.? Bár k?rnyezetem felkészített rá, hogy szinte minden ismer?snek, s?t idegennek is lesz valamilyen reakciója a hírrel kapcsolatban, talán még engem is meglepett, hogy milyen mennyiségben kaptam hideget-meleget. Ez a k?nyv az én verzióm, de nemcsak a saját sztorimat mesélem el benne, hanem hiszek abban, hogy segíteni tudok másoknak is a gondolataimmal.? Ha nem is tudom megoldani, hogy mindenki, aki szeretne, anyává válhasson, de bízom benne, az olvasóim céljainak eléréséhez kell? inspirációt nyújthatok." ?va ?szintén a kései teherbe esésr?l, gyermekvárásról, az els? hónapokról együtt.? Fej?s ?va új k?nyve egy személyes, naplószer? írás élete legutóbbi igen fontos eseményér?l, gyermeke születésér?l. ?szinte és humoros vallomások, t?rténetek gyerekvárásról, nevelésr?l, a mindennapokról. Egyfajta reflexió a sokakat foglalkoztató témára: a negyven f?l?tti gyerekvállalásra.? Tabukra fittyet hányó írás, amely minden gyereket tervez? vagy éppen már nevel? n?nek ajánlott olvasmány, kortól függetlenül, hogy mindenki számára egyértelm? legyen: Nem vagy egyedül, egy cip?ben járunk ;-)

SZENDI G?BOR új k?tetében az egyéni és a párkapcsolati problémákat elemzi. Részletesen szól az akarat szerepének túlértékelésér?l, gondolkodásunk paradoxonairól, a szokások kialakulásáról és elhagyásának módjairól, valamint mindennek fényében a kapcsolati konfliktusokról és lehetséges, ?másodfokú” megoldásaikról. Szendi az evolúciós gondolkodás mellett ezúttal a modern viselkedésterápiás szemléletet hívja segítségül, és állítja: cselekedeteinket folyamatosan általunk nem ismert és nem is megismerhet? tényez?k – rejtett tanulás, genetikailag ?r?k?lt vonások, nem érzékelhet? ingerek, hamis emlékek, ?nigazoló értelmezések, téves észlelések stb. – irányítják. Vagyis a problémákat maga az ember teremti, az emberi gondolkodás hozza létre azáltal, hogy értelmezi ?nmagát, sorsát, k?rnyezetét. A szerz? szerint az emberi problémák lényege, hogy korlátozott információk alapján akarunk sokkal szélesebb alapokon nyugvó jelenségeket értelmezni. Ilyenkor általában túl nagy jelent?séget tulajdonítunk az okoknak, és a magyarázatokhoz az emberi tudatból és emlékezésb?l nyert információk rendszerint kevésnek bizonyulnak. Szendi Gábor gyakorlati tanácsokban b?velked? k?nyvében ugyanakkor rámutat: ha nem az okokat akarjuk tisztázni, hanem a megoldást keressük, sokkal hatékonyabban kezelhetjük egyéni és társas problémáinkat is.

When working with children with ADHD, it can be difficult to know where to start. This book aims to be a practical guide to help you in your daily work with a child affected by the disorder. The book includes: signs and symptoms, information on statementing, strategies and techniques and rewards and boundaries.

Building efficient Python applications at minimal cost by adopting serverless architectures About This Book ? Design and set up a data flow between cloud services and custom business logic ? Make your applications efficient and reliable using serverless architecture ? Build and deploy scalable serverless Python APIs Who This Book Is For This book is for Python developers who would like to learn about serverless architecture. Python programming knowledge is assumed. What You Will Learn ? Understand how AWS Lambda and Microsoft Azure Functions work and use them to create an application ? Explore various triggers and how to select them, based on the problem statement ? Build deployment packages for Lambda functions ? Master the finer details about building Lambda functions and versioning ? Log and monitor serverless applications ? Learn about security in AWS and Lambda functions ? Scale up serverless applications to handle huge workloads and serverless distributed systems in production ? Understand SAM model deployment in AWS Lambda In Detail Serverless architectures allow you to build and run applications and services without having to manage the infrastructure. Many companies have adopted this architecture to save cost and improve scalability. This book will help you design serverless architectures for your applications with AWS and Python. The book is divided into three modules. The first module explains the fundamentals of serverless architecture and how AWS lambda functions work. In the next module, you will learn to build, release, and deploy your application to production. You will also learn to log and test your application. In the third module, we will take you through advanced topics such as building a serverless API for your application. You will also learn to troubleshoot and monitor your app and master AWS lambda programming concepts with API references. Moving on, you will also learn how to scale up serverless applications and handle distributed serverless systems in production. By the end of the book, you will be equipped with the knowledge required to build scalable and cost-efficient Python applications with a serverless framework. Style and approach The book takes a pragmatic approach, using a real-world example to demonstrate building efficient, secure, and scalable serverless applications.

Enhance your software deployment workflow using containers About This Book ? Get up-and-running with basic to advanced concepts of Docker ? Get acquainted with concepts such as Docker containers, Docker images, orchestrators and so on. ? Practical test-based approach to learning a prominent containerization tool Who This Book Is For This book is targeted at system administrators, operations engineers, DevOps engineers, and developers or stakeholders who are interested in getting started with Docker from scratch. No prior experience with Docker Containers is required. What You Will Learn ? Containerize your traditional or microservice-based application ? Share or ship your application as an immutable container image ? Build a Docker swarm and a Kubernetes cluster in the cloud ? Run a highly distributed application using Docker Swarm or Kubernetes ? Update or rollback a distributed application with zero downtime ? Secure your applications via encapsulation, networks, and secrets ? Know your options when deploying your containerized app into the cloud In Detail Docker containers have revolutionized the software supply chain in small and big enterprises. Never before has a new technology so rapidly penetrated the top 500 enterprises worldwide. Companies that embrace containers and containerize their traditional mission-critical applications have reported savings of at least 50% in total maintenance cost and a reduction of 90% (or more) of the time required to deploy new versions of those applications. Furthermore they are benefitting from increased security just by using containers as opposed to running applications outside containers. This book starts from scratch, introducing you to Docker fundamentals and setting up an environment to work with it. Then we delve into concepts such as Docker containers, Docker images, Docker Compose, and so on. We will also cover the concepts of deployment, orchestration, networking, and security. Furthermore, we explain Docker functionalities on public clouds such as AWS. By the end of this book, you will have hands-on experience working with Docker containers and orchestrators such as SwarmKit and Kubernetes. Style and approach The simple end-to-end guide will help you learn everything about how to containerize, ship, and run both a traditional application and a modern microservice-based application on-premise or in the cloud.

Explore GIS processing and learn to work with various tools and libraries in Python. About This Book ? Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas ? Leverage new ArcGIS API to process geospatial data for the cloud. ? Explore various Python geospatial web and machine learning frameworks. Who This Book Is For The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3. What You Will Learn ? Manage code libraries and abstract geospatial analysis techniques using Python 3. ? Explore popular code libraries that perform specific tasks for geospatial analysis. ? Utilize code libraries for data conversion, data management, web maps, and REST API creation. ? Learn techniques related to processing geospatial data in the cloud. ? Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite. In Detail Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API. Style and approach The book takes a practical, example-driven approach to teach you GIS analysis and automation techniques with Python 3.

Enterprise Agility is practical framework for enhancing Agility and equipping your company with the tools to survive. About This Book ? Prepare your company to navigate the rapidly-moving business world ? Enhance Agility in every component of your organization ? Build a framework that meets the unique requirements of your enterprise Who This Book Is For Enterprise Agility is a tool for anyone with the motivation to influence outcomes in an enterprise, who aspires to improve Agility. Readers from the following backgrounds will benefit: chief executive officer, chief information officer, people/human resource director, information technology director, head of change program, head of transformation, and Agile coach/consultant. What You Will Learn ? Drive agility-oriented change across the enterprise ? Understand why agility matters (more than ever) to modern enterprises ? Adopt and influence an Agile mindset in your teams and in your organization ? Understand the concept of a CAS and how to model enterprise and leadership behaviors on CAS characteristics to enhance enterprise agility ? Understand and convey the differences between Agile and true enterprise agility ? Create an enterprise-specific action plan to enhance agility ? Become a champion for enterprise agility ? Recognize the advantages and challenges of distributed teams, and how Agile ways of working can remedy the rough spots ? Enable and motivate your IT partners to adopt Agile ways of working In Detail The biggest challenge enterprises face today is dealing with fast-paced change in all spheres of business. Enterprise Agility shows how an enterprise can address this challenge head on and thrive in the dynamic environment. Avoiding the mechanistic construction of existing enterprises that focus on predictability and certainty, Enterprise Agility delivers practical advice for responding and adapting to the scale and accelerating pace of disruptive change in the business environment. Agility is a fundamental shift in thinking about how enterprises work to effectively deal with disruptive changes in the business environment. The core belief underlying agility is that enterprises are open and living systems. These living systems, also known as complex adaptive systems (CAS), are ideally suited to deal with change very effectively. Agility is to enterprises what health is to humans. There are some foundational principles that can be broadly applied, but the definition of healthy is very specific to each individual. Enterprise Agility takes a similar approach with regard to agility: it suggests foundational practices to improve the overall health of the body—culture, mindset, and leadership—and the health of its various organs: people, process, governance, structure, technology, and customers. The book also suggests a practical framework to create a plan to enhance agility. Style and approach Enterprise Agility is a step-by-step guide to facing change and uncertainty head-on. The books provides practical ways to apply Agile methodologies and boost Agility throughout a business.

Explore the features included in the latest versions of MQTT for IoT and M2M communications and use them with modern Python 3. About This Book ? Make your connected devices less prone to attackers by understanding security mechanisms ? Take advantage of MQTT features for IoT and Machine-to-Machine communications ? The only book that covers MQTT with a single language, Python Who This Book Is For This book is for developers who want to learn about the MQTT protocol for their IoT projects. Prior knowledge of working with IoT and Python will be helpful. What You Will Learn ? Learn how MQTT and its lightweight messaging system work ? Understand the MQTT puzzle: clients, servers (formerly known as brokers), and connections ? Explore the features included in the latest versions of MQTT for IoT and M2M communications ? Publish and receive MQTT messages with Python ? Learn the difference between blocking and threaded network loops ? Take advantage of the last will and testament feature ? Work with cloud-based MQTT interfaces in Python In Detail MQTT is a lightweight messaging protocol for small sensors and mobile devices. This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python. The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. You will use different utilities and diagrams to understand the most important concepts related to MQTT. You will learn to?make all the necessary configuration to work with digital certificates for encrypting all data sent between the MQTT clients and the server. You will also work with the different Quality of Service levels and later analyze and compare their overheads. You will write Python 3.x code to control a vehicle with MQTT messages delivered through encrypted connections (TLS 1.2), and learn how leverage your knowledge of the MQTT protocol to build a solution based on requirements. Towards the end, you will write Python code to use the PubNub cloud-based real-time MQTT provider to monitor a surfing competition. In the end, you will have a solution that was built from scratch by analyzing the requirements and then write Python code that will run on water-proof IoT boards connected to multiple sensors in surfboards. Style and approach This book shows you what MQTT is, and how to install and secure an MQTT server. You will write Python 3 code to control a vehicle with MQTT messages, test and improve, then monitor a surfing competition with cloud-based real-time MQTT providers.

Explore the latest features of Unity 2018 to create immersive VR projects for Oculus Rift, HTC Vive, Daydream and Gear VR About This Book ? A project-based guide to teach you how to develop immersive and fun VR applications using Unity 3D ? Build experiences with interactable objects, physics, UI, animations, C# scripting, and other Unity features ? Explore the world of VR by building experiences such as diorama, first-person characters, 360-degree projections, social VR, audio fireball game, and VR storytelling Who This Book Is For If you're a non-programmer unfamiliar with 3D computer graphics, or experienced in both but new to virtual reality, and are interested in building your own VR games or applications, then this book is for you. Any experience in Unity is an advantage. What You Will Learn ? Create 3D scenes with Unity and other 3D tools while learning about world space and scale ? Build and run VR applications for specific headsets, including Oculus, Vive, and Daydream ? Interact with virtual objects using eye gaze, hand controllers, and user input events ? Move around your VR scenes using locomotion and teleportation ? Implement an audio fireball game using physics and particle systems ? Implement an art gallery tour with teleportation and data info ? Design and build a VR storytelling animation with a soundtrack and timelines ? Create social VR experiences with Unity networking In Detail Unity has become the leading platform for building virtual reality games, applications, and experiences for this new generation of consumer VR devices. Unity Virtual Reality Projects walks you through a series of hands-on tutorials and in-depth discussions on using the Unity game engine. With its practical and project-based approach, this book will get you up to speed with the specifics of Virtual Reality development in Unity. You will learn how to use Unity to develop VR applications that can be experienced with devices such as Oculus, Daydream, and Vive. Among the many topics and projects, you will explore gaze-based versus hand controller input, world space UI canvases, locomotion and teleportation, software design patterns, 360-degree media, timeline animation, and multiplayer networking. You will learn the Unity 3D game engine via the interactive Unity Editor as well as C# programming. By the end of the book, you will be fully equipped to develop rich, interactive virtual reality experiences using Unity. Style and approach A practical step-by-step guide to building impressive VR experiences with Unity 2018.

A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript About This Book ? Solve complex computational problems in browser with JavaScript ? Teach your browser how to learn from rules using the power of machine learning ? Understand discoveries on web interface and API in machine learning Who This Book Is For This book is for you if you are a JavaScript developer who wants to implement machine learning to make applications smarter, gain insightful information from the data, and enter the field of machine learning without switching to another language. Working knowledge of JavaScript language is expected to get the most out of the book. What You Will Learn ? Get an overview of state-of-the-art machine learning ? Understand the pre-processing of data handling, cleaning, and preparation ? Learn Mining and Pattern Extraction with JavaScript ? Build your own model for classification, clustering, and prediction ? Identify the most appropriate model for each type of problem ? Apply machine learning techniques to real-world applications ? Learn how JavaScript can be a powerful language for machine learning In Detail In over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the ability to learn patterns and reproduce them to become a part of innovative products and applications. Hands-on Machine Learning with JavaScript presents various avenues of machine learning in a practical and objective way, and helps implement them using the JavaScript language. Predicting behaviors, analyzing feelings, grouping data, and building neural models are some of the skills you will build from this book. You will learn how to train your machine learning models and work with different kinds of data. During this journey, you will come across use cases such as face detection, spam filtering, recommendation systems, character recognition, and more. Moreover, you will learn how to work with deep neural networks and guide your applications to gain insights from data. By the end of this book, you'll have gained hands-on knowledge on evaluating and implementing the right model, along with choosing from different JS libraries, such as NaturalNode, brain, harthur, classifier, and many more to design smarter applications. Style and approach This is a practical tutorial that uses hands-on examples to step through some real-world applications of machine learning. Without shying away from the technical details, you will explore machine learning with JavaScript using clear and practical examples.

Leverage the power of Python to build DIY robotic projects About This Book ? Design, build, and stimulate collaborative robots ? Build high-end robotics projects such as a customized personal Jarvis ? Leverage the power of Python and ROS for DIY robotic projects Who This Book Is For If building robots is your dream, then this book is made for you. Prior knowledge of Python would be an added advantage. What You Will Learn ? Get to know the basics of robotics and its functions ? Walk through interface components with microcontrollers ? Integrate robotics with the IoT environment ? Build projects using machine learning ? Implement path planning and vision processing ? Interface your robots with Bluetooth In Detail Robotics is a fast-growing industry. Multiple surveys state that investment in the field has increased tenfold in the last 6 years, and is set to become a $100-billion sector by 2020. Robots are prevalent throughout all industries, and they are all set to be a part of our domestic lives. This book starts with the installation and basic steps in configuring a robotic controller. You'll then move on to setting up your environment to use Python with the robotic controller. You'll dive deep into building simple robotic projects, such as a pet-feeding robot, and more complicated projects, such as machine learning enabled home automation system (Jarvis), vision processing based robots and a self-driven robotic vehicle using Python. By the end of this book, you'll know how to build smart robots using Python. Style and approach A simple step-by-step guide to help you learn the concepts of robotics using simple to advanced steps. You’ll not only learn the concepts of AI, machine learning, and Vision Processing, but also how to practically implement them in your projects.

Learn how to automate and manage your containers and reduce the overall operation burden on your system. About This Book ? Use containers to manage, scale and orchestrate apps in your organization ? Transform the latest concept of Kubernetes 1.10 into examples ? Expert techniques for orchestrating containers effectively Who This Book Is For This book is for system administrators, developers, DevOps engineers, or any stakeholder who wants to understand how Kubernetes works using a recipe-based approach. Basic knowledge of Kubernetes and Containers is required. What You Will Learn ? Build your own container cluster ? Deploy and manage highly scalable, containerized applications with Kubernetes ? Build high-availability Kubernetes clusters ? 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 an open source orchestration platform to manage containers in a cluster environment. With Kubernetes, you can configure and deploy containerized applications easily. This book gives you a quick brush up on how Kubernetes works with containers, and an overview of main Kubernetes concepts, such as Pods, Deployments, Services and etc. This book explains how to create Kubernetes clusters and run applications with proper authentication and authorization configurations. With real-world recipes, you'll learn how to create high availability Kubernetes clusters on AWS, GCP and in on-premise datacenters with proper logging and monitoring setup. You'll also learn some useful tips about how to build a continuous delivery pipeline for your application. Upon completion of this book, you will be able to use Kubernetes in production and will have a better understanding of how to manage containers using Kubernetes. Style and approach This recipe-based book will teach you how to use Kubernetes in production and will help you discover various steps involved in managing your containers using Kubernetes

Be an adaptive thinker that leads the way to Artificial Intelligence About This Book ? AI-based examples to guide you in designing and implementing machine intelligence ? Develop your own method for future AI solutions ? Acquire advanced AI, machine learning, and deep learning design skills Who This Book Is For Artificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book. What You Will Learn ? Use adaptive thinking to solve real-life AI case studies ? Rise beyond being a modern-day factory code worker ? Acquire advanced AI, machine learning, and deep learning designing skills ? Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology ? Understand future AI solutions and adapt quickly to them ? Develop out-of-the-box thinking to face any challenge the market presents In Detail Artificial Intelligence has the potential to replicate humans in every field. This book serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision. Style and approach An easy-to-follow step by step guide which will help you get to grips with real world application of Artificial Intelligence