She entered Ah-gwah-ching State Sanatorium at Walker, Minnesota, for what she thought would be a short stay. In January, her tuberculosis spread, and she nearly died. Her recovery required many months of bed rest and medical care.Marilyn loved to write, and the story of her three-year residency at the sanatorium is preserved in hundreds of letters that she mailed back home to her parents, who could visit her only occasionally and whom she missed terribly. The letters functioned as a diary in which Marilyn articulately and candidly recorded her reactions to roommates, medical treatments, Native American nurses, and boredom. She also offers readers the singular perspective of a bed-bound teenager, gossiping about boys, requesting pretty new pajamas, and enjoying Friday evening popcorn parties with other patients.Selections from this cache of letters are woven into an informative narrative that explores the practices and culture of a midcentury tuberculosis sanatorium and fills in long-forgotten details gleaned from recent conversations with Marilyn, who "graduated" from the sanatorium and went on to lead a full, productive life.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    It is the quality of these, whatever the size of the organisation, which make the difference between organisations which thrive, and those which stagnate.This is not to argue for soft, easy and comfortable options. Instead it considers how top leaders manage to walk the line between the impossible and the possible, between the undoable and the doable, and to create conditions for productive work which transcend the difficulties which come towards us every day. Instead of dodging them, they embrace them. And by navigating high challenge, low threat, they show how others how to do the same.

    In this pocket version of his bestselling Life Without Diabetes, Professor Roy Taylor offers a brilliantly concise explanation of what happens to us when we get type 2 and how we can escape it.Taylor's research has demonstrated that type 2 is caused by just one factor - too much internal fat in the liver and pancreas - and that to reverse it you need to strip this harmful internal fat out with rapid weight loss.In simple, accessible language, Taylor takes you through the three steps of his clinically proven Newcastle weight loss plan and shows how to incorporate the programme into your life.Complete with FAQs and inspirational tips from his trial participants, this is an essential read for anyone who has been given a diagnosis of type 2 diabetes or pre-diabetes and wants to understand their condition and transform their outcomes.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    With fantastic fact files and quirky quizzes, teacher tests and crazy cartoons, this terrible twosome has been revamped and is bubbling over with info! Science has never been so horrible!

    Whether you are a patient struggling with miscarriages or a medical provider caring for patients with recurrent pregnancy loss, you will learn something from this resource. Dr. Shahine explains not only a typical Western medicine approach to evaluation and treatment for miscarriage but also includes Eastern approaches to care, lifestyle factors that will decrease your risk of miscarriage, and the emotional impact of recurrent pregnancy loss. You will finish this book feeling more empowered to be an advocate for your care and more hopeful than ever to continue towards your family goals. “I have one word to describe this fabulous book: FINALLY. Women with recurrent pregnancy loss have been needing this book for years.” – Dr. Alice Domar, associate professor of obstetrics, gynecology, and reproductive biology at Harvard Medical School and author of Conquering Infertility and Finding Calm for the Expectant Mom

    It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpayd�n offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpayd�n, author of a popular textbook on machine learning, explains that as Big Data has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.

    This is incidental as it is about neither of those industries in particular. It is about the magic and wonderment of those days as seen through the eyes of a child – my eyes! It is about the days when imagination was the biggest plaything that we possessed. The days when a plastic football provided a whole summer's play. It is about the scrapes that I found myself in and the things that I observed around me, and how they made me feel. All the stories are true and I personally experienced every one of them. The names of the characters have been changed. The reason being that I have no idea of the whereabouts of many of the characters contained within my stories, so I have no way of asking them for their permission to include them in this book. Some have possibly passed away, and it would be unfair of me to mention them without their blessing. Anyone who knows me will know who they are though.

    Everything around us, including matter, is energy. A deep look into the mysteries of the subatomic world – the particles that make up the atom – provides answers to basic questions about how the universe works. To solve the future of mankind’s energy needs we need to understand the basic building blocks of the universe, including the atom and its parts. By exploring the subatomic world we’ll find more answers to our questions about time, forces like gravity and the matter that surrounds us. More importantly, we’ll find new ways to tap into the energy that exists around us to power our growing needs. In a new branch of particle physics, where tiny particles are thought of as energy waves, we find new answers that may help us in our quest to find alternative energy sources.

    It avoids overburdening the reader with topographical detail that is unnecessary for the medical student. Minimum assumptions are made of existing knowledge of the subject.'Key point' boxes for reinforcement and quick revision Glossary of important terms 'Clinical detail' boxes closely integrated with relevant neuroanatomyComplete revision and updating of text. Revision nad expansion of summary chapter, providing overview of entire subject. Clinical material updated to reflect current prevalence of neurological disease. Artwork entirely redrawn for improved clarity and closer integration with text.

    The beginning chapters introduce basic chemical and biological concepts to provide students with the framework they need to comprehend physiological principles. The chapters that follow promote conceptual understanding rather than rote memorization of facts. Health applications are included throughout the book to heighten interest, deepen understanding of physiological concepts, and help students relate the material to their individual career goals. Every effort has been made to help students integrate related concepts and understand the relationships between anatomical structures and their functions.

    A more plausible explanation would have been that she died from a drug overdose. A review of the medical examiner's report revealed that the Fisher family refused to give permission for an autopsy and toxicology tests to be done. Constrained by these limitations, the coroner labeled the manner of death "undetermined".FORENSICS: The Science behind the Deaths of Famous People is an analysis and description of how coroners determine the cause and manner of death. An investigation of twenty-three deaths of famous people was conducted based on a review of publicly available autopsy and toxicology reports, as well as published scientific and lay articles. Drug use was implicated in 70 percent of the deaths. Four celebrity deaths were the result of suicide or homicide. Four others were from natural causes.

    The Twelfth Edition's hallmark continues to be its pioneering integration of the proven-effective SQ4R learning system (Survey, Question, Read, Reflect, Review, Recite), which promotes critical thinking as it guides students step-by-step to an understanding of psychology's broad concepts and diversity of topics. Throughout every chapter, these active learning tools—together with the book's example-laced writing style, discussions of positive psychology, cutting-edge coverage of the field's new research findings, and excellent media resources—ensure that students find the study of psychology fascinating, relevant, and above all, accessible.

    It offers superior coverage of all key areas, including descriptive chemistry, MO theory, bonding, and physical inorganic chemistry. Chapter topics are presented in logical order and include: basic concepts; nuclear properties; an introduction to molecular symmetry; bonding in polyatomic molecules; structures and energetics of metallic and ionic solids; acids, bases, and ions in aqueous solution; reduction and oxidation; non-aqueous media; and hydrogen. Four special topic chapters, chosen for their currency and interest, conclude the book. For researchers seeking the latest information in the field of inorganic chemistry.