James Beard Award-winning chef Cory Schreiber teams up with Julie Richardson, owner of Portland’s Baker & Spice, to showcase the freshest fruit available amidst a repertoire of nearly 75 satisfying old-timey fruit desserts, including crumbles, crisps, buckles, pies, and more. An early fall cobbler with blackberries bubbling in their juice beneath a golden cream biscuit. A crunchy oatmeal crisp made with mid-summer’s nectarines and raspberries. Or a comforting pear bread pudding to soften a harsh winter’s day. Simple, scrumptious, cherished–these heritage desserts featuring local fruit are thankfully experiencing a long-due revival. Whether you’re searching for the perfect ending to a sit-down dinner party or a delicious sweet to wrap up any night of the week, these broadly appealing and easy-to-prepare classics will become family favorites.
A Family affair, could just be a play on words. About an affair? About a family? In this case, about both. Which takes precedence? The family or the affair? In this, sometimes whimsical, humorous, poignant, heart- felt story, it can be said, to be all this, and more. Many diverse, vibrant, true to life plethora of characters, paragraphs of people, tread these corridors of words, which lead where? To Life, to love, to hope.... To dead-ends? Filling the pages with expectancy, desire, it tells the story primarily of a young man, Liam, and his love for Paula. She, however, is not all she would seem to be. There are many layers to her personality, and she has many men in her life. Not least being, Alistair McKendrick, Liam’s father. What did Liam or his father mean to her? You will have to read the book to find out. Who would she choose? Did she want or need to? Not just a love story, far more than that! For running throughout its pages, is entwined, another, which recounts that of an ageing adventurer, Hector Carruthers, a reluctant thrill seeker, told through his journals, left to his wife Geraldine. She, never interested in his exploits, left them to gather dust, until Liam’s arrival in her life, when they were resurrected, dusted down, and devoured with interest by him. Hector’s story is intermingled with that of the other. Yet another layer, of the story’s intricate web, to catch the imagination of the reader.
Advanced Perioperative Crisis Management is a high-yield, clinically-relevant resource for understanding the epidemiology, pathophysiology, assessment, and management of a wide variety of perioperative emergencies. Three introductory chapters review a critical thinking approach to the unstable or pulseless patient, crisis resource management principles to improve team performance and the importance of cognitive aids in adhering to guidelines during perioperative crises. The remaining sections cover six major areas of patient instability: cardiac, pulmonary, neurologic, metabolic/endocrine, and toxin-related disorders, and shock states, as well as specific emergencies for obstetrical and pediatric patients. Each chapter opens with a clinical case, followed by a discussion of the relevant evidence. Case-based learning discussion questions, which can be used for self-assessment or in the classroom, round out each chapter. Advanced Perioperative Crisis Management is an ideal resource for trainees, clinicians, and nurses who work in the perioperative arena, from the operating room to the postoperative surgical ward.
Master machine learning techniques with R to deliver insights in complex projects About This Book Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning Implement advanced concepts in machine learning with this example-rich guide Who This Book Is For This book is for data science professionals, data analysts, or anyone with a working knowledge of machine learning, with R who now want to take their skills to the next level and become an expert in the field. What You Will Learn Gain deep insights into the application of machine learning tools in the industry Manipulate data in R efficiently to prepare it for analysis Master the skill of recognizing techniques for effective visualization of data Understand why and how to create test and training data sets for analysis Master fundamental learning methods such as linear and logistic regression Comprehend advanced learning methods such as support vector machines Learn how to use R in a cloud service such as Amazon In Detail This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you'll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets. Style and approach The book delivers practical and real-world solutions to problems and a variety of tasks such as complex recommendation systems. By the end of this book, you will have gained expertise in performing R machine learning and will be able to build complex machine learning projects using R and its packages.
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