Step back into the magical world of Pendleford with Sarah Painter’s new book The Secrets of Ghosts. Don’t miss the magical, heart-warming story from the bestselling author of The Language of Spells! On her twenty-first birthday Katie Harper has only one wish: to become a real Harper woman. Mystical powers are passed down her family generation after generation – some even call them witches – yet every spell Katie attempts goes disastrously wrong. When her magic does appear, it’s in a form nobody expected and suddenly Katie is thrown into a dangerous new world with shadowy consequences. For the realm of the deceased is not as peaceful as she once thought. The dead are buried with their secrets and only Katie can help the ghosts of the past finally find peace. If that is what they are looking for… Praise for Sarah Painter 'The magic, the romance, the right amount of humour and drama, made this a perfectly well-rounded novel. I greatly look forward to Sarah’s next novel.' - Laura's Little Book Blog 'I would recommend this book as it is a real mix: it’s a love story and a thriller with a dash of magic thrown in for good measure.' - Laura's Book Review 'I really loved this book – and it is not often I say this, really. An amazing début, I was sucked in so much I could hardly put it down and finished it in about a day I think. I also couldn’t stop talking about it! That is it’s charm and the skill of the writer, you can’t quite put your finger on what it is… I hope to read more in the future by this author.' - Beloved Eleanor utterly enchanting’ - The Madwoman in the Attic 'an enjoyable, escapist read, light hearted romance and a bit of paranormal who dunnit.' - Jeannie Zelos 'I thoroughly enjoyed The Secret of Ghosts. It was just as magical and just as enjoyable as The Language of Spells and I am soooooo glad Sarah Painter decided to go back to Pendleford. … I really do love magical fiction and I think SarahPainter is one of the best at giving you a realistic look at magic and all that comes with it.' - Chick Lit Reviews

Single daddy Captain Ray Hughes and his little boy have to create their own version of a family and Chrissie Evans is a complication. Chrissie is everything he could desire in a woman and he wants a future with her. But can he promise her what she needs to hear?

Willowmere in summer is breathtaking, but nurse Laurel Maddox has come to hide from her past. Local GP Dr David Trelawney is captivated by his new colleague and he determines to make Laurel blossom in the warmth of the village and, before the summer is out, make her his bride!

Former foster child Holly was determined to make this Christmas special for the kids at Hopewell House. Then handsome Clay Forrester stole her Father Christmas… Playing Santa was the only way to make it up to Holly. But could Clay convince her to give him a second chance?

Becca knows that her baby is her late husband's final gift to her. Her pregnancy couldn't be the result of one night when she tried to forget her grief. Rick's not convinced. He's not ready to give up on the prospect of being a father ; or of becoming more than just a friend to Becca. And he has nine months to ensure Becca feels the same way. . .

Jaz Harper is back in town, and determined to avoid her old flame Connor Reed – she won’t be hurt again. But Jaz hasn’t reckoned on still being irresistibly attracted to Connor…or the fact he’s now a bachelor dad!

Marion Lennox Raising the heir to the throne is nanny Elsa Murdoch's dream job, but sparks fly when feisty Elsa clashes with powerful Prince Stefanos over what's best for little Princess Zoe. Could Marrying His Majesty be the answer?

Daredevil firefighter Jess Corbett has spent his life running – from memories of his childhood, and the death of his fiancée. Then a dangerous rescue sees him reunited with tough-cookie nurse Julie Clark! Her warmth challenges his avoid-at-all-costs stance on love, but can she break through the ice that encases this gorgeous loner’s heart?

Fabulous Fathers FIRST COMES BABY… Shayla Morrison's mission was to unite a rambunctious baby boy with the rugged cowboy who was his closest kin. But one look at long, tall Turner MacLeod and Shayla decided to stick around. After all, what did a rough and tough rancher know about babies? Then again, what did a sensible woman like Shayla know about sharing close quarters with a mysterious Montana man? THEN COMES MARRIAGE? Shayla should have hightailed it back to her ho-hum life. Then the sound of a child's laughter–and the sparkle in the cowboy's eyes–had her whistling the wedding march. But could she turn the brooding bachelor into a forever husband? Fabulous Fathers This cowboy found a baby on his doorstep–and a wife in waiting!

ROYAL WEDDINGS Three small-town women find happily-ever-after with three irresistible princes! EVERY WOMAN WANTED TO MARRY THE PRINCE…. But Prince Lucas Hansson knew only one woman was fit to be his royal bride. If only he could find her…. Enter Annah Lane. According to local legend, the pretty shopkeeper had an uncanny instinct for spotting true love. But the moment she laid eyes on His Royal Hunkiness, she realized she was his destined bride! Annah knew her intuition had to be wrong–the prince needed so much more than a small-town woman like her could give. She'd just have to find him a better match–and she would!–as soon as she could tear herself from his strong yet tender embrace….

Bundles of Joy TWENTY POUNDS OF PERFECTION The moment Malcolm Evans laid eyes on tiny Robin Winslow, he was hooked. An enchantress in pink cotton rompers, she brought back feelings Malcolm would have sworn he'd buried for good. AND A MOMMY TO MATCH Christa Winslow had her baby daughter's blue eyes and blond hair–and the same indefinable spirit. And when Malcolm saw mother and child together, it made him wish for a family, something a man like him could only dream of…. WOULD LOVE TURN MALCOLM INTO MR. DADDY? Sometimes small packages lead to the biggest surprises!

JUNE BRIDES HIS MEANT-TO-BE BRIDE When doe-eyed, all gowned-up-and-no-groom-in-sight Megan Morison sought refuge in his arms, bachelor John Vermont offered her a roof over her head, a job to pay the bills and his rugged shoulder to lean on…. HER DESTINED GROOM Megan had had her fill of people trying to run her life, but with strong, silent, steely-eyed John Vermont, she felt truly safe, accepted…and dare she believed loved? But John claimed that marriage wasn't for him, though his longing looks and heated kisses suggested otherwise. And now Megan wished this gorgeous albeit gruff ship captain would take the gift destiny offered and make her his lawfully wedded wife…. Celebrate a month of joyful marriages with Silhouette Romance!

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

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.

From a rising young novelist comes an artful meditation on love and life in contemporary London. When David Pinner introduces his former teacher, the American artist Ruth Marks, to his friend and flatmate James Glover, he unwittingly sets in place a love triangle loaded with tension, guilt and heartbreak. As David plays reluctant witness (and more) to James and Ruth's escalating love affair, he must come to terms with his own blighted emotional life. Set in the London art scene awash with new money and intellectual pretension, in the sleek galleries and posh restaurants of a Britannia resurgent with cultural and economic power, Nick Laird's insightful and drolly satirical novel vividly portrays three people whose world gradually fractures along the fault lines of desire, truth and jealousy. With wit and compassion, Laird explores the very nature of contemporary romance, among damaged souls whose hearts and heads never quite line up long enough for them to achieve true happiness.

A wonderfully illustrated celebration of the blood, sweat and joy to be had ‘growing your own’ in an allotment – with the in-depth, practical gardening know-how for which Collins is renowned. No longer considered the preserve of old men in sheds, allotment gardening is currently enjoying a renaissance of interest. People of all ages and from all walks of life are digging their own plots in search of the ultimate in fresh, organic produce – and you cannot get more locally-sourced than your own allotment! This book testifies to the vibrancy of allotment culture, aiming both to inspire the next generation of plot-holders and to provide all the practical knowledge needed to turn a patch of soil into a lifelong adventure. Open to all the eco-gardening techniques, and the various weird and wonderful ways people make use of their plots, contents include: ? the history of allotments – from 19th century origins, through wartime ‘Dig for Victory’, to the cosmopolitan communities of today; features photos and interviews with current plot-holders ? planning your perfect allotment – finding it, assessing it, clearing the ground and working out what to grow ? the brown stuff – all you need to know about soil management, the key to growing success ? choosing a gardening method – organic, biodynamic, rotation beds, companion planting, greenhouse, multi-level, potager, cottage garden, and so on… ? the hard stuff – constructing sheds, compost bins, cold frames, fruit cages, ponds, seating and play areas ? selecting crops – what and how to grow, from parsnips and peas to chilli peppers and lemon grass ? cultivation techniques – digging, sowing, feeding, weeding and harvesting, plus troubleshooting pests and diseases ? the allotment calendar – extensive, month-by-month look at what’s in season, jobs for now and looking ahead

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.

This book is your guide to exploring the possibilities in the field of deep learning, making use of Google's TensorFlow. You will learn about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data. About This Book ? Explore various possibilities with deep learning and gain amazing insights from data using Google’s brainchild-- TensorFlow ? Want to learn what more can be done with deep learning? Explore various neural networks with the help of this comprehensive guide ? Rich in concepts, advanced guide on deep learning that will give you background to innovate in your environment Who This Book Is For If you are a data scientist who performs machine learning on a regular basis, are familiar with deep neural networks, and now want to gain expertise in working with convoluted neural networks, then this book is for you. Some familiarity with C++ or Python is assumed. What You Will Learn ? Set up your computing environment and install TensorFlow ? Build simple TensorFlow graphs for everyday computations ? Apply logistic regression for classification with TensorFlow ? Design and train a multilayer neural network with TensorFlow ? Intuitively understand convolutional neural networks for image recognition ? Bootstrap a neural network from simple to more accurate models ? See how to use TensorFlow with other types of networks ? Program networks with SciKit-Flow, a high-level interface to TensorFlow In Detail Dan Van Boxel’s Deep Learning with TensorFlow is based on Dan’s best-selling TensorFlow video course. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Dan Van Boxel will be your guide to exploring the possibilities with deep learning; he will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data. With Dan’s guidance, you will dig deeper into the hidden layers of abstraction using raw data. Dan then shows you various complex algorithms for deep learning and various examples that use these deep neural networks. You will also learn how to train your machine to craft new features to make sense of deeper layers of data. In this book, Dan shares his knowledge across topics such as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, and high level interfaces. With the help of novel practical examples, you will become an ace at advanced multilayer networks, image recognition, and beyond. Style and Approach This book is your go-to guide to becoming a deep learning expert in your organization. Dan helps you evaluate common and not-so-common deep neural networks with the help of insightful examples that you can relate to, and show how they can be exploited in the real world with complex raw data.

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