Never before have we attempted to measure as much as we do today. Why are we so obsessed with numbers? What can they really tell us? Too often we try to quantify what can’t actually be measured. We count people, but not individuals. We count exam results rather than intelligence, benefit claimants instead of poverty. The government has set itself 10,000 new targets. Politicians pack their speeches with skewed statistics: crime rates are either rising or falling depending on who is doing the counting. We are in a world in which everything designed only to be measured. If it can’t be measured it can be ignored. But the big problem is what numbers don’t tell you. They won’t interpret. They won’t inspire, and they won’t tell you precisely what causes what. In this passionately argued and thought-provoking book, David Boyle examines our obsession with numbers. He reminds us of the danger of taking numbers so seriously at the expense of what is non-measurable, non-calculable: intuition, creativity, imagination, happiness… Counting is a vital human skill. Yardsticks are a vital tool. As long as we remember how limiting they are if we cling to them too closely. Americans who claim to have been abducted by aliens = 3.7 million Average time spent by British people in traffic jams every year = 11 days Number of Americans shot by children under six between 1983 and 1993 = 138, 490

On an April evening in 1779, a woman is shot on the steps of Covent Garden. Her murderer is a young soldier and Church of England minister; her lover, the Earl of Sandwich, one of the most powerful politicians of the day. This compelling account of murder, love and intrigue brings Georgian London to life in a spellbinding historical masterpiece. On an April evening in 1779, Martha Ray, mistress of the Earl of Sandwich, was shot on the steps of Covent Garden by James Hackman, a young soldier and minister of the Church of England. She died instantly, leaving behind a grief-stricken lover and five small children. Hackman, after trying to kill himself, was arrested, tried and hanged at Tyburn ten days later. The story was to become one of the scandals of the age. It seemed an open-and-shut case, but why had Hackman killed Ray? He claimed he suffered from ‘love’s madness’ but his motives remained obscure. And as Martha Ray shared the bed of one of the most powerful and unpopular politicians of the day (and one of Georgian London's greatest libertines), the city buzzed with the story, as every hack journalist sharpened his pen. John Brewer has written an account of this violent murder that is as thrilling and compelling as the best crime novel. Atmospheric, beautifully written, and alive with the characters and bustle of 18th-century London, the book examines in minute detail the events of a few crucial moments and gives an unforgettable account of the relationships between the three protagonists and their different places within society. However, the interest in Martha's murder did not end with the Georgians, and ‘Sentimental Murder ‘ranges over two centuries, populated by journalists, biographers and historians who tried to make sense of the killing. And so it becomes an intriguing exploration of the relations between history and fiction, storytelling and fact, past and present. John Brewer has transformed a tragic tale of murder into an historical masterpiece.

Irritable Bowel Syndrome is now extremely common with at least one in three adults being affected. A controlled diet is the most effective way to deal with this painful problem. A new title in the Eat to Beat series, following up on the enormous success of Eat to Beat Arthritis Eat To Beat IBS provides recipes and advice to help with IBS and digestive pain. Written by a medical doctor (and Telegraph columnist) and and a well-known special diets cookery writer, it offers the health advice and support that IBS sufferers need, as well as providing a range of 60 good gut recipes. Irritable Bowel Syndrome is often the result of a basic food intolerance and can often flare up at times of stress. Aside from well known IBS ‘baddies’ such as caffeine, there is a range of common ‘trigger’ foods. Readers are encouraged to focus on different food ranges to help them identify their personal IBS triggers. Contains: ? All of the mainstream medical information – in an ‘easy to digest’ style. ? The low-down on the full range of effective complementary health treatments available. ? 60 good gut recipes that allow IBS sufferers control their diet, whilst still enjoying their food.

Return to the magical world of Enchantia in the captivating second series of Magic Ballerina by Darcey Bussell! King Neptune, ruler of the underwater kingdom, has accused King Tristan of taking his special sceptre and as a punishment he's cast a storm spell over Enchantia! Can Rosa and Nutmeg find out who really has the sceptre or will Enchantia be gloomy forever?

Return to the magical world of Enchantia in the captivating second series of Magic Ballerina by Darcey Bussell! Everyone in Madame Za-Za’s class is taking part in their first ballet exams and Rosa is feeling pretty confident about passing hers. But right in the middle of the exam she is whisked away to Enchantia. The magical moonstone has broken and all of the ballets have become muddled up! Can Rosa put things right?

Prima Ballerina Darcey Bussell takes you on a captivating journey to a faraway land of ballet and magic, the wonderful world of Enchantia! The first of a sparkly new series for all young girls who dream of being a ballerina, or simply love to dance… Delphie’s greatest dream is to become a ballerina, and she can't quite believe it when she is invited to join the new ballet school. But there's more to Madame Zarakova's than it at first seems and with the help of some very special ballet shoes, Delphie finds herself spinning into a whole new world…

When friendship becomes love, two people must face their greatest fear – being hurt again…The powerful bestseller from the country’s number one storyteller. Luke Hammond: handsome, rich, charismatic, cursed by private tragedy. Amy Atkinson: humble and kind with a good – but wounded – heart. When they meet by chance, a spark of love takes hold of their hearts. But neither are sure that they can dare to love again. And what of Luke's public life, hidden from Amy? The owner of a large factory, he is a pillar of the community, married – though in name only. Amy is torn between her head and her heart, but her sense of honour is paramount – and when she discovers his true identity, she is thrown into even greater turmoil. Then disaster strikes and the future looks troubled indeed ….

Another page-turning story of tragedy and triumph from the No.1 bestselling author of The Loner and The Journey. In the sleepy Lancashire village of Salmesbury, childhood sweethearts Emily and John are secretly planning a life together when they are cruelly forced apart. Already abandoned by her father, and unhappy at home, Emily is heartbroken when John leaves the village. Her life takes a devastating turn for the worse when she gives birth to a child. She dare not reveal the identity of the child's father or there will be a terrible price to pay. Many miles away, John is trying to forget Emily and forge a new life. Having carried her in his heart for years, a chance encounter leads him to believe she has forgotten him. Emily has never been able to banish thoughts of John. But when it looks as though history is about to repeat itself, Emily must put the past – and John – behind her and safeguard her daughter. But can she forget him?

This bestseller from the country’s number one storyteller is a deeply moving and powerful tale of love and courage and a sacrifice no man should be asked to make. Three strangers are thrown together by chance. It’s an encounter which is destined to change all of their lives for ever. When Ben Morris comes to the aid of Lucy Baker and her daughter Mary, he is intrigued by the story behind their frequent visits to the local graveyard. Later, invited into their home, an old Edwardian place suffused with secrets of the past, Ben hears Lucy’s remarkable tale – one she must tell before it’s too late. The story of Barney Davidson, his family and the part Lucy played in his extraordinary life, is one of a deep, abiding love and an incredible sacrifice.

From the Pulitzer Prize-winning author of ‘The Hours’ and new novel ‘The Snow Queen’, time, technology and love are the central concerns of a provocative novel that calls to mind David Mitchell’s ‘Cloud Atlas’. Lucas, Catherine, Simon: three characters meet time and again in the three linked narratives that form ‘Specimen Days’. The first, a science fiction of the past, tells of a boy whose brother was ‘devoured’ by the machine he operated. The second is a noirish thriller set in our century, as a police psychologist attempts to track down a group of terrorists. And the third and final strand accompanies two strange beings into the future. A novel of connecting and reconnecting, inspired by the writings of the great visionary poet Walt Whitman, ‘Specimen Days’ is a genre-bending, haunting ode to life itself – a work of surpassing power and beauty by one of the most original and daring writers at work today.

A romance-filled page-turner for any Austen fanatic who’s ever dreamt of spending a weekend with Mr Darcy… Katherine Roberts is fed up with men. As a lecturer specialising in the works of Jane Austen, she knows that the ideal man only exists within the pages of Pride & Prejudice and that in real life there is no such thing. Determined to go it alone, she finds all the comfort she needs reading her guilty pleasure – regency romances from the pen of Lorna Warwick – with whom she has now struck up an intimate correspondence. Austen fanatic, Robyn Love, is blessed with a name full of romance, but her love life is far from perfect. Stuck in a rut with a bonehead boyfriend, Jace, and a job she can do with her eyes shut – her life has hit a dead end. Robyn would love to escape from it all but wouldn't know where to start. They both decide to attend the annual Jane Austen Conference at sumptuous Purley Hall, overseen by the actress and national treasure, Dame Pamela Harcourt. Robyn is hoping to escape from Jace for the weekend and indulge in her passion for all things Austen. Katherine is hoping that Lorna Warwick will be in attendance and is desperate to meet her new best friend in the flesh. But nothing goes according to plan and Robyn is aghast when Jace insists on accompanying her, whilst Katherine is disappointed to learn that Lorna won't be coming. However, an Austen weekend wouldn't be the same without a little intrigue, and Robyn and Katherine are about to get much more than they bargained for. Because where Jane Austen is concerned, romance is never very far away…

A tremendously vivid, page-turning and plausible novel that depicts the rise and fall of Anne Boleyn, the most spirited, independent and courageous of Henry’s queens, as viewed from both the bedrooms and the kitchens of the Tudor court. Everyone knows the story of Anne Boleyn. Henry VIII divorced his longstanding, long-suffering, older, Spanish wife for a young, black-eyed English beauty, and, in doing so, severed England from Rome and indeed from the rest of the western world. Then, when Henry had what he wanted, he managed a mere three years of marriage before beheading his wife for alleged adultery with several men, among them his own best friend and her own brother. This is the context for Suzannah Dunn's wonderful new novel, which is about – and told by – two women: Anne Boleyn, king's mistress and fated queen; and Lucy Cornwallis, the king's confectioner, an employee of the very highest status, who made the centrepiece of each of the feasts to mark the important occasions in Anne's ascent. There's another link between them, though: the lovely Mark Smeaton, wunderkind musician, the innocent on whom, ultimately, Anne's downfall hinged… Suzannah Dunn has all the equipment needed for literary-commercial success: wit, a mastery of dialogue, brilliant characterization, lack of pretence, and good humour. The Queen of Subtleties adds to that mix a wonderfully balanced, strong story; Dunn has plumped for a fascinating retelling of one of the most often-told, most compelling stories of our islands' history. In doing so, she's turning from contemporary stories to historical fiction. The result is sensational.

David Beckham is one of the world's foremost media icons, his popularity transcending sport and cultural divides. This is his own in-depth account of his career to date, for Manchester United and England, and of his childhood, family and personal life. This is Beckham's fascinating life story in his own words. His rise through the ranks at the biggest club side in the world. His complex relationship with United boss Alex Ferguson. The England story, from being vilified by the nation before returning as the prodigal son to eventually captaining his country. His acrimonious falling-out with his manager and departure from Old Trafford in June 2003. And starting a new chapter of his life on foreign soil in the glare of the world’s press. Now from Beckham himself, we gain a vivid and eye-opening insight into the family man behind the famous footballer, the international model and fashion leader. He describes how he first met and then married ex-Spice girl Victoria Adams, and the upbringing of their two children Brooklyn and Romeo. How his family's every step is monitored by a posse of newshounds and paparazzi. Also, the influence of his parents, growing up as a shy youngster in the family home, and how their subsequent split affected him. Intimate and soul-searching, this is the real David Beckham like we have never seen before.

The warm, engrossing new novel from the No. 1 bestseller, Cathy Kelly. Welcome to Avalon: a quaint, sleepy town on the Irish coast. Nothing has changed here for generations – least of all the huge mansion on Willow Street; the house in which sisters Tess and Suki Power grew up. Now, years later, Tess is trying to save her marriage protect her glamorous sister Suki who has come back home, dreams shattered. Similarly, Mara Wilson is seeking refuge from a broken heart at her Aunt Danae’s house. And Danae, the inscrutable postmistress, is hiding some dark memories of her own. Now that the big house is up for sale, change is blowing on the cold sea wind. But before they can look to the future, these four women must face up to the past…

The whole of the magnificent Riftwar Cycle by bestselling author Raymond E. Feist, master of magic and adventure, now available in ebook Kaspar, former Duke of Olasko and once absolute ruler of his nation, has been cast into exile. Abandoned in the wilds of a continent on the other side of the world and left with nothing but his wits and determination, he must fight merely to survive. Armed with guile, cunning and an iron will, he starts his odyssey with a single goal: to return to his home and revenge himself upon the man who cast him down, Talwin Hawkins. But fate has other plans for Kaspar, and as he struggles against adversity, he encounters dangers greater than any he had imagined. More is at stake than he realised and Kaspar is but a single player in a far greater game than he imagined, for pitted against the Conclave of Shadows are the agents of the Dark Empire, a looming menace that threatens not only Kaspar's homeland, but the entire world of Midkemia. Exile’s Return is the third and concluding book in the Conclave of Shadows trilogy.

Build Machine Learning models with a sound statistical understanding. About This Book ? Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics. ? Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering. ? Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python. Who This Book Is For This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming knowledge in R or Python will be useful. What You Will Learn ? Understand the Statistical and Machine Learning fundamentals necessary to build models ? Understand the major differences and parallels between the statistical way and the Machine Learning way to solve problems ? Learn how to prepare data and feed models by using the appropriate Machine Learning algorithms from the more-than-adequate R and Python packages ? Analyze the results and tune the model appropriately to your own predictive goals ? Understand the concepts of required statistics for Machine Learning ? Introduce yourself to necessary fundamentals required for building supervised & unsupervised deep learning models ? Learn reinforcement learning and its application in the field of artificial intelligence domain In Detail Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. You will also design programs for performing tasks such as model, parameter fitting, regression, classification, density collection, and more. By the end of the book, you will have mastered the required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problem. Style and approach This practical, step-by-step guide will give you an understanding of the Statistical and Machine Learning fundamentals you'll need to build models.

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.

Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye! About This Book ? Learn Scala’s sophisticated type system that combines Functional Programming and object-oriented concepts ? Work on a wide array of applications, from simple batch jobs to stream processing and machine learning ? Explore the most common as well as some complex use-cases to perform large-scale data analysis with Spark Who This Book Is For Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker. What You Will Learn ? Understand object-oriented & functional programming concepts of Scala ? In-depth understanding of Scala collection APIs ? Work with RDD and DataFrame to learn Spark’s core abstractions ? Analysing structured and unstructured data using SparkSQL and GraphX ? Scalable and fault-tolerant streaming application development using Spark structured streaming ? Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML ? Build clustering models to cluster a vast amount of data ? Understand tuning, debugging, and monitoring Spark applications ? Deploy Spark applications on real clusters in Standalone, Mesos, and YARN In Detail Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big. Style and approach Filled with practical examples and use cases, this book will hot only help you get up and running with Spark, but will also take you farther down the road to becoming a data scientist.

Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book ? An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. ? Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. ? Master the art of real-time processing with the help of Apache Spark 2.x Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn ? Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J ? Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming ? Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames ? Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud ? Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames ? Learn how specific parameter settings affect overall performance of an Apache Spark cluster ? Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark’s functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark 2.x. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark 2.x, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book ? Take your first steps in the world of data science by understanding the tools and techniques of data analysis ? Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods ? Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn ? Learn how to clean your data and ready it for analysis ? Implement the popular clustering and regression methods in Python ? Train efficient machine learning models using decision trees and random forests ? Visualize the results of your analysis using Python’s Matplotlib library ? Use Apache Spark’s MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb’s machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank’s successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.

Learn the art of leveraging PowerShell to automate Office 365 repetitive tasks About This Book ? Master the fundamentals of PowerShell to automate Office 365 tasks. ? Easily administer scenarios such as user management, reporting, cloud services, and many more. ? A fast-paced guide that leverages PowerShell commands to increase your productivity. Who This Book Is For The book is aimed at sys admins who are administering office 365 tasks and looking forward to automate the manual tasks. They have no knowledge about PowerShell however basic understanding of PowerShell would be advantageous. What You Will Learn ? Understand the benefits of *ing and automation and get started using Powershell with Office 365 ? Explore various PowerShell packages and permissions required to manage Office 365 through PowerShell ? Create, manage, and remove Office 365 accounts and licenses using PowerShell and the Azure AD ? Learn about using powershell on other platforms and how to use Office 365 APIs through remoting ? Work with Exchange Online and SharePoint Online using PowerShell ? Automate your tasks and build easy-to-read reports using PowerShell In Detail While most common administrative tasks are available via the Office 365 admin center, many IT professionals are unaware of the real power that is available to them below the surface. This book aims to educate readers on how learning PowerShell for Office 365 can simplify repetitive and complex administrative tasks, and enable greater control than is available on the surface. The book starts by teaching readers how to access Office 365 through PowerShell and then explains the PowerShell fundamentals required for automating Office 365 tasks. You will then walk through common administrative cmdlets to manage accounts, licensing, and other scenarios such as automating the importing of multiple users,assigning licenses in Office 365, distribution groups, passwords, and so on. Using practical examples, you will learn to enhance your current functionality by working with Exchange Online, and SharePoint Online using PowerShell. Finally, the book will help you effectively manage complex and repetitive tasks (such as license and account management) and build productive reports. By the end of the book, you will have automated major repetitive tasks in Office 365 using PowerShell. Style and approach This step by step guide focuses on teaching the fundamentals of working with PowerShell for Office 365. It covers practical usage examples such as managing user accounts, licensing, and administering common Office 365 services. You will be able to leverage the processes laid out in the book so that you can move forward and explore other less common administrative tasks or functions.