The hugely popular Sleepover Club series is back with a gorgeous new look. Meet Frankie, Kenny, Fliss, Rosie and Lyndz – five best friends who just want to have fun! Baby Morgan needs a babysitter urgently and the Sleepover Club girls agree to take charge. After all, what can be so difficult about looking after a baby? But things are never quite that simple for Frankie and friends.. As well as a great story this book has tips on how to have your own brilliant sleepover party for you and your friends. Pack up those nappies and toddle on over!

A magical Arabian Nights tale from the captivating creator of fantasy, Diana Wynne Jones. The dazzling sequel to Howls Moving Castle, now a major animated film. Far to the south in the Land of Ingary, lives a young carpet merchant called Abdullah. In his dreams, he is the long-lost son of a great prince. This dream is a complete castle in the air… or is it? Abdullah’s day-dreams suddenly start to come true when he meets the exquisite Flower-in-the-Night, daughter of the ferocious Sultan of Zanzib. Fate has destined them for each other, but a bad-tempered genie, a hideous djinn, and various villanous bandits have their own ideas. When Flower-in-the-Night is carried off, Abdullah is determined to rescue her – if he can find her.

Glorious new rejacket of a Diana Wynne Jones favourite, featuring Chrestomanci – now a book with extra bits! SOMEONE IN THIS CLASS IS A WITCH When the note, written in ordinary ballpoint, turns up in the homework books Mr Crossley is marking, he is very upset. For this is Larwood House, a school for witch-orphans, where witchcraft is utterly forbidden. And yet magic keeps breaking out all over the place - like measles! The last thing they need is a visit from the Divisional Inquisitor. If only Chrestomanci could come and sort out all the trouble.

A masterpiece of black humour from the renown comic and acclaimed author of ‘At Swim-Two-Birds’ – Flann O’Brien. A thriller, a hilarious comic satire about an archetypal village police force, a surrealistic vision of eternity, the story of a tender, brief, unrequited love affair between a man and his bicycle, and a chilling fable of unending guilt, ‘The Third Policeman’ is comparable only to ‘Alice in Wonderland’ as an allegory of the absurd. Distinguished by endless comic invention and its delicate balancing of logic and fantasy, ‘The Third Policeman’ is unique in the English language.

Winner of the Pulitzer Prize for Fiction and Richard and Judy pick. From the author of the acclaimed ‘Year of Wonders’ and ‘People of the Book’, a historical novel and love story set during a time of catastrophe on the front lines of the American Civil War. Set during the American Civil War, ‘March’ tells the story of John March, known to us as the father away from his family of girls in ‘Little Women’, Louisa May Alcott’s classic American novel. In Brooks’s telling, March emerges as an abolitionist and idealistic chaplain on the front lines of a war that tests his faith in himself and in the Union cause when he learns that his side, too, is capable of barbarism and racism. As he recovers from a near-fatal illness in a Washington hospital, he must reassemble the shards of his shattered mind and body, and find a way to reconnect with a wife and daughters who have no idea of the ordeals he has been through. As Alcott drew on her real-life sisters in shaping the characters of her little women, so Brooks turned to the journals and letters of Bronson Alcott, Louisa May’s father, an idealistic educator, animal rights exponent and abolitionist who was a friend and confidante of Ralph Waldo Emerson and Henry David Thoreau. The story spans the vibrant intellectual world of Concord and the sensuous antebellum South, through to the first year of the Civil War as the North reels under a series of unexpected defeats. Like her bestselling ‘Year of Wonders’, ‘March’ follows an unconventional love story. It explores the passions between a man and a woman, the tenderness of parent and child, and the life-changing power of an ardently held belief.

The funniest debut novel since Tom Sharpe’s Riotous Assembly, only it’s set in Tasmania! Julian Corkle's got small-screenability. His mother tells him he'll be a star one day. 'Twinkle, twinkle,' she says, giving his hair a ruffle. Not everyone shares Julian's dreams of stardom. Television is too much like hairdressing for his father's tastes. A Tasmanian man wants a son for sporting purposes. 'Boys don't like dolls,' he tells Julian, 'They like Dinky Toys.' Not this boy, thinks Julian, who knows better than to tell the truth. Besides, the family already has a sporting hero, Julian's sister Carmel aka 'The Locomotive'. Julian likes his sister, but knows better than to tangle with her bowling arm. It's the same one she uses for punching. Julian Corkle is a Filthy Liar is the ultimate feel-good novel, a book that will have the reader laughing out loud on the back of a bus as it follows Julian's bumpy journey through adolescence, fibbing his way through school and a series of dead-end jobs, to find his ultimate calling as creator of 'The Hog'. It's as if Crocodile Dundee has crashed Muriel's wedding and run off into the desert with Priscilla.

Maggie’s about to have the holiday romance of a lifetime. Perfect for fans of Jill Mansell and Carole Matthews. Maggie Morgan has been longing to find Mr Right all her life but even she didn't expect him to be delivered to her door, giftwrapped in a skimpy towel, one sunny summer morning. Sexy Nick Lucas seems almost too good to be true – and maybe he is. Arriving out of nowhere, he seems to have no past, no family, no history: things just don't add up. As Nick's past starts to catch up with him, Maggie becomes embroiled in an exciting cat-and-mouse chase across the country. Temperatures rise and passion sizzles but although Maggie has the hots for Nick, can she take the heat?

Whether skateboarding across the kitchen as a child, or taking part in the world's most prestigious vintage road race, TV chef James Martin has never been one to sit still. In this entertaining narrative he reveals how his two passions – cooking and cars – have fuelled his hopes, dreams and successes and made him the household name he is today. James talks with passion, energy and candid humour about his childhood, early ambitions, becoming a successful chef and wowing audiences with his foxtrot on Strictly Come Dancing. His story is punctuated with tales of remarkable cars, from his first toy Ferrari to his vintage Maserati, each one representing a personal milestone and bringing with it charming stories and amusing anecdotes. James' cars give him the perfect excuse to delve into his life, revealing frank and fascinating details - from racing through the fields on his father's tractor and teenage fumblings in the back seat, to hurtling round a track with James Bond actor, Daniel Craig. With James' career reaching new heights, and his collection of classic cars continuing to grow, Driven tells how his two lifelong obsessions have shaped the life of this relentlessly ambitious man.

My Kitchen is a collection of James Martin's favourite seasonal recipes. Be inspired in your kitchen all year round with more than 100 of James's tried-and-tested favourites. As the face of British food, James Martin knows how to cook for an audience. But what happens when the cameras are turned off and it's time to feed himself and his friends? Here James shares the recipes that see him through the year, with plenty of easy and irresistible ideas for fantastic food, even when there's no occasion. James firmly believes that fresh, local ingredients are always the best, and he often uses his own home-grown fruit and veg in his everyday cooking. His recipes are organised by the seasons, so that whether your produce hails from the garden, the greengrocer or the supermarket, you'll never be short of ways to celebrate delicious seasonal food. A vocal supporter of traditional British grub, James also includes ideas for using different cuts of meat, harking back to an era of 'waste not, want not'. Determined to prove that game, such as grouse, rabbit and venison, is not only affordable but also very delicious, he finds versatile ways to turn these meats into mouth-watering dishes that everyone will love. Discover over 100 no-nonsense recipes from James's personal repertoire, all explained in his straightforward and easy-to-follow manner. Accompanied by beautiful food photography and seasonal reportage images which offer a view of James's own house and garden, this is a book which cannot fail to inspire healthy, hearty home-cooked food. RECIPES INCLUDE: ? Leek and Potato Soup with Smoked Salmon and Poached Egg ? Cromer Crab Toastie ? Beef and Fennel Koftas with Corn on the Cob ? Marinated Loin of Lamb with Warm Figs, Coriander and Honey ? Herb-crusted Baked Cod with Spiced Cauliflower Cheese ? Roasted Turkey with Guinness Glaze ? Rabbit Casserole with Grapes and White Wine ? Thyme-roasted Apricots with Honey Madelines ? Swiss-style Hazelnut Meringue with Coffee Cream ? Christmas Pudding Ice Cream with Warm Satsumas and Caramel Sauce

The inspiration behind ‘Life of Pi’ director Ang Lee’s ‘Brokeback Mountain’ is one of the short stories to be found in this haunting collection of Wyoming tales. ‘Brokeback Mountain’ is set in the beautiful, wild landscape of Wyoming where cowboys live as they have done for generations. Hard, lonely lives in unforgiving country. Jack Twist and Ennis del Mar are two ranch hands, glad to have found each other’s company where none had been expected. But companionship becomes something else on Brokeback Mountain, something not looked for – an intimacy neither can forget. ‘Brokeback Mountain’ was made into an Academy Award-winning film by Ang Lee, and starred Heath Ledger, Jake Gyllenhaal, Michelle Williams and Anne Hathaway.

A story spanning centuries. A long awaited revenge. In London, journalist Jo Clifford plans to debunk the belief in past-lives in a hard-hitting magazine piece. But her scepticism is shaken when a hypnotist forces her to relive the experiences of Matilda, Lady of Hay, a noblewoman during the reign of King John. She learns of Matilda's unhappy marriage, her love for the handsome Richard de Clare, and the brutal death threats handed out by King John, before it becomes clear that Jo’s past and present are inevitably entwined. She realises that eight hundred years on, Matilda’s story of secret passion and unspeakable treachery is about to repeat itself… Barbara Erskine’s iconic debut novel still delights generations of readers thirty years after its first publication.

From the bestselling author of ‘The Queen’s Conjuror’, comes the story of Nicholas Culpeper – legendary rebel, radical, Puritan, and author of the great ‘Herbal’. This is a powerful history of medicine’s first freedom fighter set in London during Britain’s age of revolution. In the mid-17th century, England was visited by the four horsemen of the apocalypse: a civil war which saw levels of slaughter not matched until the Somme, famine in a succession of failed harvests that reduced peasants to 'anatomies', epidemics to rival the Black Death in their enormity, and infant mortality rates that left childless even women who had borne eight or nine children. In the midst of these terrible times came Nicholas Culpeper’s ‘Herbal’ – one of the most popular and enduring books ever published. Culpeper was a virtual outcast from birth. Rebelling against a tyrannical grandfather and the prospect of a life in the church, he abandoned his university education after a doomed attempt at elopement. Disinherited, he went to London, where he was to find his vocation in instigating revolution. London's medical regime was then in the grip of the College of Physicians, a powerful body personified in the ‘immortal’ William Harvey, anatomist, royal physician and discoverer of the circulation of the blood. Working in the underground world of religious sects, secret printing presses and unlicensed apothecary shops, Culpeper challenged this stronghold at the time it was reaching the very pinnacle of its power – and in the process helped spark the revolution that toppled a monarchy. In a spellbinding narrative of impulse, romance and heroism, Benjamin Woolley vividly recreates these momentous struggles and the roots of today's hopes and fears about the power of medical science, professional institutions and government. ‘The Herbalist’ tells the story of a medical rebel who took on the authorities and paid the price.

SPELLBOUND is the second book in acclaimed debut author Blake Charlton’s exciting and original trilogy, following on from SPELLWRIGHT. Francesca DeVega is a successful healer in the city of Avel, wielding magical text to close wounds and disspell curses, but her life is thrown into chaos when a dead patient suddenly sits up and tells her to run. Now Francesca is in the middle of a game she doesn’t understand, one that ties her to the notorious rogue wizard, Nicodemus Weal, and brings her face to face with demons, demigods, and a man she thought she’d never see again. It has been ten years since Nicodemus Weal escaped the Starhaven Academy, where he was considered disabled and useless, where he battled the demon who stole his birthright and killed his friends. Unable to use the magical languages of his own people, Nico has honed his skills in the dark language of the kobolds, readying himself for his next encounter with the demon. But there are complications: his mentor suffers from an incurable curse, his half-sister’s agents are hunting him, and he’s still not sure what part Francesca DeVega will play. He certainly doesn’t know what to make of Francesca herself…. Introducing new twists to the unique magical system of Spellwright and uncovering more sinister dangers, Spellbound is sure to please Blake Charlton’s fans and earn him new ones.

David Crane has given us a magisterial portrait of one of Britain’s greatest heroes and explorers, acclaimed as the ‘masterpiece’ on the subject. Reissued for the 100th anniversary of Scott’s doomed expedition. ‘It seems a pity, but I do not think I can write more…For God’s sake look after our people.’ These were the final words written in Scott’s diary on 29 March 1912, as he lay dying of exhaustion, starvation and extreme cold, in his tent on his return journey from the South Pole. Since then he has been the subject of many books. Yet in all the pages that have been written about him, the personality behind the legend has been forgotten or distorted beyond all recognition. David Crane’s magisterial biography redresses this completely. By reassessing Scott’s life and his substantial scientific achievements, Crane is able to provide a fresh and exciting perspective on both the Discovery expedition of 1901-4 and the Terra Nova expedition of 1910-12. The courage and tragedy of Scott’s last journey are only one part of the process, for the scientific enquiry that led up to it transformed the whole nature and ambition of Antarctic exploration. Written with the full support of Scott’s surviving relatives, and with access to the voluminous diaries and records of key participants, this definitive biography sets out to reconcile the very private struggles of the man with the very public life of extremes that he led.

Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning About This Book ? Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects ? More than 15 open source Java tools in a wide range of techniques, with code and practical usage. ? More than 10 real-world case studies in machine learning highlighting techniques ranging from data ingestion up to analyzing the results of experiments, all preparing the user for the practical, real-world use of tools and data analysis. Who This Book Is For This book will appeal to anyone with a serious interest in topics in Data Science or those already working in related areas: ideally, intermediate-level data analysts and data scientists with experience in Java. Preferably, you will have experience with the fundamentals of machine learning and now have a desire to explore the area further, are up to grappling with the mathematical complexities of its algorithms, and you wish to learn the complete ins and outs of practical machine learning. What You Will Learn ? Master key Java machine learning libraries, and what kind of problem each can solve, with theory and practical guidance. ? Explore powerful techniques in each major category of machine learning such as classification, clustering, anomaly detection, graph modeling, and text mining. ? Apply machine learning to real-world data with methodologies, processes, applications, and analysis. ? Techniques and experiments developed around the latest specializations in machine learning, such as deep learning, stream data mining, and active and semi-supervised learning. ? Build high-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies. ? Get a deeper understanding of technologies leading towards a more powerful AI applicable in various domains such as Security, Financial Crime, Internet of Things, social networking, and so on. In Detail Java is one of the main languages used by practicing data scientists; much of the Hadoop ecosystem is Java-based, and it is certainly the language that most production systems in Data Science are written in. If you know Java, Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in Data Science. This book aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning. Accompanying each chapter are illustrative examples and real-world case studies that show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today. On completing this book, you will have an understanding of the tools and techniques for building powerful machine learning models to solve data science problems in just about any domain. Style and approach A practical guide to help you explore machine learning—and an array of Java-based tools and frameworks—with the help of practical examples and real-world use cases.

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

A practical guide to help you undertand the ability of Apache jMeter to load and performance test various server types in a more efficient way. About This Book ? Use jMeter to create and run tests to improve the performance of your webpages and applications ? Learn to build a test plan for your websites and analyze the results ? Unleash the power of various features and changes introduced in Apache jMeter 3.0 Who This Book Is For This book is for software professionals who want to understand and improve the performance of their applications with Apache jMeter. What You Will Learn ? See why performance testing is necessary and learn how to set up JMeter ? Record and test with JMeter ? Handle various form inputs in JMeter and parse results during testing ? Manage user sessions in web applications in the context of a JMeter test ? Monitor JMeter results in real time ? Perform distributed testing with JMeter ? Get acquainted with helpful tips and best practices for working with JMeter In Detail JMeter is a Java application designed to load and test performance for web application. JMeter extends to improve the functioning of various other static and dynamic resources. This book is a great starting point to learn about JMeter. It covers the new features introduced with JMeter 3 and enables you to dive deep into the new techniques needed for measuring your website performance. The book starts with the basics of performance testing and guides you through recording your first test scenario, before diving deeper into JMeter. You will also learn how to configure JMeter and browsers to help record test plans. Moving on, you will learn how to capture form submission in JMeter, dive into managing sessions with JMeter and see how to leverage some of the components provided by JMeter to handle web application HTTP sessions. You will also learn how JMeter can help monitor tests in real-time. Further, you will go in depth into distributed testing and see how to leverage the capabilities of JMeter to accomplish this. You will get acquainted with some tips and best practices with regard to performance testing. By the end of the book, you will have learned how to take full advantage of the real power behind Apache JMeter. Style and approach The book is a practical guide starting with introducing the readers to the importance of automated testing. It will then be a beginner’s journey from getting introduced to Apache jMeter to an in-detail discussion of more advanced features and possibilities with it.

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.

Leverage the power of Python to collect, process, and mine deep insights from social media data About This Book ? Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more ? Analyze and extract actionable insights from your social data using various Python tools ? A highly practical guide to conducting efficient social media analytics at scale Who This Book Is For If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process. What You Will Learn ? Understand the basics of social media mining ? Use PyMongo to clean, store, and access data in MongoDB ? Understand user reactions and emotion detection on Facebook ? Perform Twitter sentiment analysis and entity recognition using Python ? Analyze video and campaign performance on YouTube ? Mine popular trends on GitHub and predict the next big technology ? Extract conversational topics on public internet forums ? Analyze user interests on Pinterest ? Perform large-scale social media analytics on the cloud In Detail Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes. Style and approach This book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.

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.