Noel Malcolm is one of Britain’s most original scholar-journalists. He is the chief non-fiction reviewer for the Sunday Telegraph and writes widely on both literary and political matters. He is the editor of Hobbes’s correspondence and author of the best-selling Bosnia: A Short History. He briefs governments all over the world on Bosnia and Balkan matters and speaks most western and eastern European languages, both ancient and modern. He is now writing a biography of Hobbes.

The chilling new psychological thriller from the author of the top ten bestseller, THE BOOK OF YOU, which was selected for Richard and Judy in 2015. Perfect for fans of THE GIRL ON THE TRAIN and DISCLAIMER. It is ten years since Ella's sister Miranda disappeared without trace, leaving her young baby behind. Chilling new evidence links Miranda to the horrifying Jason Thorne, now in prison for murdering several women. Is it possible that Miranda knew him? At thirty, Miranda’s age when she vanished, Ella looks uncannily like the sister she idolized. What holds Ella together is her love for her sister’s child and her work as a self-defence expert helping victims. Haunted by the possibility that Thorne took Miranda, and driven by her nephew’s longing to know about his mother, Ella will do whatever it takes to uncover the truth – no matter how dangerous…

Indulge in the unputdownable I HEART series. Follow Angela’s adventures from day one . . . Includes two bonus short stories! When Angela Clark flees her best friend's wedding for New York, leaving chaos, an injured groom and a boyfriend in her wake, her adventures are only just beginning. Follow her through six hilarious and highly entertaining novels, as well as two short stories, as her attempts to start a new life and new career – and a new love affair too – take her to Hollywood, Vegas, Paris, back to London, all the way to Christmas. Being Angela, it's not long before she's in one scrape after another… Contains I Heart New York, I Heart Hollywood, I Heart Paris, Jenny Lopez Has A Bad Week, I Heart Vegas, I Heart London, I Heart Christmas, Jenny Lopez Saves Christmas

Colette Harris is Editor of Here’s Health. She discovered she had Polycistic Ovary Syndrome three years ago. Theresa Cheung is a full time writer with 5 health books already published in the US including a book on androgen disorders in women. She is author of Men and Depression. She is also a sufferer of PCOS

The fifth novel in the DI Sean Corrigan series – authentic and terrifying crime fiction with a psychological edge, by an ex-Met detective. Perfect for fans of Mark Billingham, Peter James and Stuart MacBride. A serial killer stalks the streets… In the darkest corners of London, a killer is on the hunt. His murders are brutal. Teeth pulled out. Nails pulled out. Bodies abandoned. A detective follows his every move… DI Sean Corrigan of the Special Investigations Unit desperately tries to use his ability to understand the minds of killers before another victim is ruthlessly murdered. A clash of dangerous minds… Corrigan is all too willing to take deadly risks to track down his quarry, but this time the killer has set a trap, just for him. Will Corrigan stop the murderer in time, or is he about to become a victim himself?

He promised he’d stay away…but he can’t resist keeping her close Setting rules and following them to the letter is part of cowboy Nick Haskins’s code. It keeps life uncomplicated, and his heart intact. The love he had for his high school sweetheart is ashes in the wind, but he’s not counting on her twin, Lindsay Gavin, to show up on his ranch—or in his dreams. Lindsay’s got a code of her own: hands off her sister’s guy. But now that Nick is free to share his bunkhouse and his bed, she can’t help but take what he’s offering. There’s no harm in satisfying years worth of curiosity. There’s no shame in indulging in the sexiest fun of her life. Only, when Nick and Lindsay let desire set fire to the rules, will they both end up getting burned?

A classic Cold War spy story from the bestselling thriller writer Derek Lambert. The Trans-Siberian Express has left Moscow carrying the most powerful, closely guarded man in the Soviet Union – and also the man who plans to kidnap him. Tension aboard the train is at a maximum. The KGB has checked and double checked. But as Vasily Yermakov, the Soviet leader, tries to sleep on the first night in his cabin, he has an uneasy feeling that something is about to go wrong. ‘An exciting new development – not only of Derek Lambert’s skills, but of the thriller too!’ Len Deighton ‘Exciting’ New York Times Book Review ‘Hugely entertaining’ Manchester Guardian ‘A timely and gripping thriller’ Publishers Weekly ‘Bursting with action’ Evening Standard ‘A taut and fast-moving thriller that reeks with authenticity’ Coventry Evening Telegraph ‘Quite superb … It deserves to be a best-seller’ Leslie Thomas

A classic World War II novel from the bestselling thriller writer Derek Lambert. As the Russians and the Western Allies race towards Berlin, the Nazi hierarchy plots to escape the inevitable retribution facing them at the end of World War II. Kurt Wolff is a handsome, blond SS Captain and a member of Hitler’s personal elitist bodyguard. Yet he still has to know the greatest honour of all. He has been chosen to implement Grey Fox – The Saint Peter’s Plot – the most daring and secret mission of the War. As Germany stands on the edge of an abyss, the fate of this once great nation is in his hands. ‘A fine thriller … very hard to put down’ Irish Press ‘Mr Lambert is of the Wilbur Smith school of modern adventure writers – colourfully imaginative, totally convincing’ Manchester Evening News ‘A thrilling novel … written with great sensitivity’ Derby Evening Telegraph

A classic Cold War spy story about the space race from the bestselling thriller writer Derek Lambert. As the Soviet space-shuttle Dove orbits 150 miles above the earth on its maiden flight, Warsaw Pact troops crash into Poland. The seventy-two-year-old President of America wants to be re-elected, and for that he needs to win the first stage of the war in space: he needs to capture the Soviet space shuttle. But as the President plans his coup a nuclear-armed shuttle speeds towards target America – and only defection in space can stop it. ‘Writing as crisp as the Moscow winter … the Soviet setting is magically evocative’ New York Times ‘Lambert, author of many intelligent political thrillers, has another in this fastpaced, complex, and timely novel. Highly recommended’ Library Journal ‘A most satisfying thriller with a highly dramatic finish’ Publishers Weekly

The most lethal Colton is out for revenge Real-estate tycoon Declan Sinclair has a score to settle with on-the-run felon Livia Colton. He can't change his tragic past, but he can demolish her estate. But while coming to terms with his most hated enemy, Declan bumps heads with Livia's youngest daughter, the alluring Jade Colton… Having always felt isolated from her own family, Jade finds satisfaction in rescuing and rehabilitating Thoroughbred racehorses. And when she finds herself in Livia's crosshairs, Jade turns to Declan for comfort and protection. But can she trust the man who's sworn to take down the entire Colton clan – once and for all?

It’s the Twirlywoos! Today they’re learning all about . . . counting! Introducing a new range of early learning concept board books with a Twirlywoos twist! This sturdy board book is the perfect introduction to numbers. Packed full of their trademark slapstick humour but with a strong educational underpinning, every child can learn something new with the Twirlywoos!

This book is dedicated to all those who have written for or otherwise contributed to the activities of the Institute of Contemporary British History in its first ten years (1986–96). In particular, I would like to dedicate it to the two principal ‘founding fathers’, David Butler and Sir Frank Cooper, who along with David Severn and Lady (Olive) Wood helped Peter Hennessy and me establish the ICBH.

MORE YEARS have passed since 1945 than from the beginning of the century to that date. The major issues and questions in British history from 1900–45 are now fairly well established and there have been

Explore powerful R packages to create predictive models using ensemble methods Key Features *Implement machine learning algorithms to build ensemble-efficient models *Explore powerful R packages to create predictive models using ensemble methods *Learn to build ensemble models on large datasets using a practical approach Book Description Ensemble techniques are used for combining two or more similar or dissimilar machine learning algorithms to create a stronger model. Such a model delivers superior prediction power and can give your datasets a boost in accuracy. Hands-On Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble techniques – bagging, random forest, and boosting – then you'll learn how they can be used to provide greater accuracy on large datasets using popular R packages. You will learn how to combine model predictions using different machine learning algorithms to build ensemble models. In addition to this, you will explore how to improve the performance of your ensemble models. By the end of this book, you will have learned how machine learning algorithms can be combined to reduce common problems and build simple efficient ensemble models with the help of real-world examples. What you will learn *Carry out an essential review of re-sampling methods, bootstrap, and jackknife *Explore the key ensemble methods: bagging, random forests, and boosting *Use multiple algorithms to make strong predictive models *Enjoy a comprehensive treatment of boosting methods *Supplement methods with statistical tests, such as ROC *Walk through data structures in classification, regression, survival, and time series data *Use the supplied R code to implement ensemble methods *Learn stacking method to combine heterogeneous machine learning models Who this book is for This book is for you if you are a data scientist or machine learning developer who wants to implement machine learning techniques by building ensemble models with the power of R. You will learn how to combine different machine learning algorithms to perform efficient data processing. Basic knowledge of machine learning techniques and programming knowledge of R would be an added advantage.

Make the most of Angular by leveraging design patterns and best practices to build stable and high performing apps Key Features *Get to grips with the benefits and applicability of using different design patterns in Angular with the help of real-world examples *Identify and prevent common problems, programming errors, and anti-patterns *Packed with easy-to-follow examples that can be used to create reusable code and extensible designs Book Description This book is an insightful journey through the most valuable design patterns, and it will provide clear guidance on how to use them effectively in Angular. You will explore some of the best ways to work with Angular and how to use it to meet the stability and performance required in today's web development world. You’ll get to know some Angular best practices to improve your productivity and the code base of your application. We will take you on a journey through Angular designs for the real world, using a combination of case studies, design patterns to follow, and anti-patterns to avoid. By the end of the book, you will understand the various features of Angular, and will be able to apply well-known, industry-proven design patterns in your work. What you will learn *Understand Angular design patterns and anti-patterns *Implement the most useful GoF patterns for Angular *Explore some of the most famous navigational patterns for Angular *Get to know and implement stability patterns *Explore and implement operations patterns *Explore the official best practices for Angular *Monitor and improve the performance of Angular applications Who this book is for If you want to increase your understanding of Angular and apply it to real-life application development, then this book is for you.

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.

Echo is a leading framework for creating web applications with the Go language. This book will show you how to develop scalable real-world web apps, RESTful services, and backend systems with Echo. About This Book ? The easiest way to learn how to build web apps with Echo ? Build a full working project ? For Go developers with only basic web development knowledge required Who This Book Is For You will need to know the basics of the Go language, and the general concepts of web development. What You Will Learn ? Key design considerations for high performance Echo applications ? How Echo handles routing ? How context is managed through the lifetime of the request and response pipeline ? Decrease complexity of your apps by developing middleware functions ? Interact with the request through request data bindings ? Interact with the response through response data renderings within the framework ? Use Echo's logging and error handling facilities ? Render Go templates within Echo to allow for server side rendering of content In Detail Echo is a leading framework for creating web applications with the Go language.? This book will show you how to develop scalable real-world web apps, RESTful services, and backend systems with Echo.? After a thorough understanding of the basics, you'll be introduced to all the concepts for a building real-world web system with Echo. You will start with the the Go HTTP standard library, and setting up your work environment. You will move on to Echo handlers, group routing, data binding, and middleware processing. After that, you will learn how to test your Go application and use templates.? By the end of this book you will be able to build your very own high performance apps using Echo. A Quick Start Guide is a focussed, shorter title which provides a faster paced introduction to a technology. They are for people who don’t need all the detail at this point in their learning curve. The presentation has been streamlined to concentrate on the things you really need to know, rather than everything. Style and approach This book creates a working example of a web application written with the Echo framework, and shows you enough of Echo to give context for a developer to bootstrap a high performance web application with the smallest amount of development time.

A hands-on guide with a minimalist and flexible approach that enables quick learning and rapid delivery of cloud-ready enterprise applications with Angular 6 About This Book ? Explore tools and techniques to push your web app to the next level ? Master Angular app design and architectural considerations ? Learn continuous integration and deploy your app on a highly available cloud infrastructure in AWS Who This Book Is For This book is for developers who want to confidently deliver high-quality and production-grade Angular apps from design to deployment. We assume that you have prior experience in writing a RESTful API with the tech stack of your choice; if you don't, you can still gain a lot of benefit from this book, which focuses on the entire scope of frontend development, from design to deployment! What You Will Learn ? Create full-stack web applications using Angular and RESTful APIs ? Master Angular fundamentals, RxJS, CLI tools, unit testing, GitHub, and Docker ? Design and architect responsive, secure and scalable apps to deploy on AWS ? Adopt a minimalist, value-first approach to delivering your app with Kanban ? Get introduced to automated testing with continuous integration on CircleCI ? Optimize Nginx and Node.js web servers with load testing tools In Detail Angular 6 for Enterprise-Ready Web Applications follows a hands-on and minimalist approach demonstrating how to design and architect high quality apps. The first part of the book is about mastering the Angular platform using foundational technologies. You will use the Kanban method to focus on value delivery, communicate design ideas with mock-up tools and build great looking apps with Angular Material. You will become comfortable using CLI tools, understand reactive programming with RxJS, and deploy to the cloud using Docker. The second part of the book will introduce you to the router-first architecture, a seven-step approach to designing and developing mid-to-large line-of-business applications, along with popular recipes. You will learn how to design a solid authentication and authorization experience; explore unit testing, early integration with backend APIs using Swagger and continuous integration using CircleCI. In the concluding chapters, you will provision a highly available cloud infrastructure on AWS and then use Google Analytics to capture user behavior. By the end of this book, you will be familiar with the scope of web development using Angular, Swagger, and Docker, learning patterns and practices to be successful as an individual developer on the web or as a team in the Enterprise. Style and approach The book follows a hands-on, value-first methodology to help readers design and architect small and large applications, while covering ancillary topics that all web developers should be aware of. The book uses minimal and flexible tools and techniques to enable quick learning and rapid delivery of high-quality and reliable Angular applications.

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

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda About This Book ? Use Anaconda to find solutions for clustering, classification, and linear regression ? Analyze your data efficiently with the most powerful data science stack ? Use the Anaconda cloud to store, share, and discover projects and libraries Who This Book Is For Hands-On Data Science with Anaconda is for you if you are a developer who is looking for the best tools in the market to perform data science. It’s also ideal for data analysts and data science professionals who want to improve the efficiency of their data science applications by using the best libraries in multiple languages. Basic programming knowledge with R or Python and introductory knowledge of linear algebra is expected. What You Will Learn ? Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda ? Use the package manager conda and discover, install, and use functionally efficient and scalable packages ? Get comfortable with heterogeneous data exploration using multiple languages within a project ? Perform distributed computing and use Anaconda Accelerate to optimize computational powers ? Discover and share packages, notebooks, and environments, and use shared project drives on Anaconda Cloud ? Tackle advanced data prediction problems In Detail Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You’ll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You’ll explore all the essentials of data science and linear algebra to perform data science tasks using packages such as SciPy, contrastive, scikit-learn, Rattle, and Rmixmod. Once you’re accustomed to all this, you’ll start with operations in data science such as cleaning, sorting, and data classification. You’ll move on to learning how to perform tasks such as clustering, regression, prediction, and building machine learning models and optimizing them. In addition to this, you’ll learn how to visualize data using the packages available for Julia, Python, and R. Style and approach This book is your step-by-step guide full of use cases, examples and illustrations to get you well-versed with the concepts of Anaconda.