In his first two books, Dr. Dale Bredesen outlined the revolutionary treatments that are changing what had previously seemed like the inevitable outcome of cognitive decline and dementia. And in these moving narratives, you can hear directly from the first survivors of Alzheimer's themselves--their own amazing stories of hope told in their own words. These first person accounts honestly detail the fear, struggle, and ultimate victory of each patient's journey. They vividly describe what it is like to have Alzheimer's. They also drill down on how each of these patients made the program work for them--the challenges, the workarounds, the encouraging results that are so motivating. Dr. Bredesen includes commentary following each story to help point readers to the tips and tricks that might help them as well.Dr. Bredesen's patients have not just survived; they have thrived to rediscover fulfilling lives, rewarding relationships, and meaningful work. This book will give unprecedented hope to patients and their families.

    Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

     This book is perfect for history lovers. Author James Weber did the research and compiled this huge list of events that changed the course of history forever. Some of them include: - The first civilization in Mesopotamia in 3,000 B.C. - The Norman Invasion of England in 1066 - The invention of the printing press by Johannes Guttenberg around 1450 - The French Revolution in 1789 - The first motorized airplane flight in 1903 - The Moonlanding in 1969 and many many more The book includes pictures and explanations to every event, making this the perfect resource for students and anyone wanting to broaden their knowledge in histoy. Download your copy now! Tags: history, world history, history books, history of the world, human history, world history textbook, history books for kids, earth history, geographic history, earth history kindle, human history, history books for kids age 9 12, history of the world part 1, a little history of the world, history books for kids age 7-9, history books for young readers, history books for children, history books for kindle,

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    in this book, once more, her heart is laid bare' Giovanna Fletcher 'I didn't want to put it down' Jools Oliver 'Raw and honest... like a letter from a friend' Sarah Turner, The Unmumsy Mum 'Beautifully emotional and healing' Genelle Aldred 'Heartbreaking yet uplifting... I was truly holding my breath' Cat Strawbridge, The Finally Pregnant podcast ***** 'It turns out there are plenty of us: the unlucky ones. The women whose journey into motherhood, or whose yearning for more children, has yet to be fulfilled by the universe. I am certain that in so many parts of my story I really am not the only one to have gone through it, so it makes sense to write it all down. For all of us - and for any parents who might go through some of what we did in the future too. So here it is, our journey to a rainbow. A story of fertility, trying again and, above all, hope.' After the death of her three-day-old son Teddy in 2016, Elle Wright never expected what came next - that the path to bringing home a living child could be so winding. Elle's loss was followed by three and a half years of endless waiting. She and her husband waited for test results, hospital appointments and so many new procedures to help with their experience of secondary infertility. This wait included friends announcing their happy news whilst Elle was experiencing three rounds of IVF and the loss of three more babies. Months and years slipped by, of immense physical and emotional toll, and still those two lines were just out of reach. Faced with constant questions, drugs, negative tests, tears, loss, frustration and so many more tears, throughout it all Elle managed to still believe that one day it would happen for her, somehow... A Bump in the Road reflects the reality of becoming a parent for thousands of people like Elle who have difficulty conceiving in the UK today. It captures Elle's journey to a rainbow, comforting through her beautifully written words with a story of fertility that might just reflect yours, too.

    This new edition continues the LWW focus on providing accurate, up-to-date, and practical instruction in phlebotomy procedures and techniques, grounded by a comprehensive background in phlebotomy theory. Key additions include updated information on the latest CLSI guidelines, new media to accompany each chapter, more color photos, and the addition of terms to align the text with the International Standards Organization (ISO).Written to be highly accessible to students at all levels, and comprehensive enough for practicing phlebotomists, this text is complemented by a robust ancillary suite to help readers of all learning styles master the material. The online ancillaries, coupled with the text and available workbook and exam review book, help create a dynamic phlebotomy learning experience.

    Bayesian statistics is taught in most first-year statistics classes across the nation, but there is one major problem that many students (and others who are interested in the theorem) face. The theorem is not intuitive for most people, and understanding how it works can be a challenge, especially because it is often taught without visual aids. In this guide, we unpack the various components of the theorem and provide a basic overview of how it works - and with illustrations to help. Three scenarios - the flu, breathalyzer tests, and peacekeeping - are used throughout the booklet to teach how problems involving Bayes Theorem can be approached and solved. Over 60 hand-drawn visuals are included throughout to help you work through each problem as you learn by example. The illustrations are simple, hand-drawn, and in black and white. For those interested, we have also included sections typically not found in other beginner guides to Bayes Rule. These include: A short tutorial on how to understand problem scenarios and find P(B), P(A), and P(B|A). For many people, knowing how to approach scenarios and break them apart can be daunting. In this booklet, we provide a quick step-by-step reference on how to confidently understand scenarios.A few examples of how to think like a Bayesian in everyday life. Bayes Rule might seem somewhat abstract, but it can be applied to many areas of life and help you make better decisions. It is a great tool that can help you with critical thinking, problem-solving, and dealing with the gray areas of life. A concise history of Bayes Rule. Bayes Theorem has a fascinating 200+ year history, and we have summed it up for you in this booklet. From its discovery in the 1700’s to its being used to break the German’s Enigma Code during World War 2, its tale is quite phenomenal.Fascinating real-life stories on how Bayes formula is used in everyday life.From search and rescue to spam filtering and driverless cars, Bayes is used in many areas of modern day life. We have summed up 3 examples for you and provided an example of how Bayes could be used.An expanded definitions, notations, and proof section.We have included an expanded definitions and notations sections at the end of the booklet. In this section we define core terms more concretely, and also cover additional terms you might be confused about. A recommended readings section.From The Theory That Would Not Die to a few other books, there are a number of recommendations we have for further reading. Take a look! If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Bayesian statistics is an incredibly fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a wide-range of industries - so take an easy dive into the theorem for yourself with a visual approach!If you are looking for a short beginners guide packed with visual examples, this booklet is for you.

    In 1905 an unknown 26-year-old clerk at the Swiss Patent Office, who had supposedly failed math in school, burst on to the scientific scene and swept away the hidebound theories of the day. The clerk, Albert Einstein, introduced a new and unexpected understanding of the universe and launched the two great revolutions of twentieth-century physics, relativity and quantum mechanics. The obscure origin and wide-ranging brilliance of the work recalled Isaac Newton’s “annus mirabilis” (miracle year) of 1666, when as a 23-year-old seeking safety at his family manor from an outbreak of the plague, he invented calculus and laid the foundations for his theory of gravity. Like Newton, Einstein quickly became a scientific icon--the image of genius and, according to Time magazine, the Person of the Century.The actual story is much more interesting. Einstein himself once remarked that “science as something coming into being ... is just as subjectively, psychologically conditioned as are all other human endeavors.” In this profile, the historian of science L. Randles Lagerstrom takes you behind the myth and into the very human life of the young Einstein. From family rifts and girlfriend troubles to financial hardships and jobless anxieties, Einstein’s early years were typical of many young persons. And yet in the midst of it all, he also saw his way through to profound scientific insights. Drawing upon correspondence from Einstein, his family, and his friends, Lagerstrom brings to life the young Einstein and enables the reader to come away with a fuller and more appreciative understanding of Einstein the person and the origins of his revolutionary ideas.About the cover image: While walking to work six days a week as a patent clerk in Bern, Switzerland, Einstein would pass by the famous "Zytglogge" tower and its astronomical clocks. The daily juxtaposition was fitting, as the relative nature of time and clock synchronization would be one of his revolutionary discoveries in the miracle year of 1905.

    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

    Say you?re already an experienced photographer? The helpful tips and tricks in this friendly book will get you quickly up to speed on the D3100's new 14-megapixel sensor, continous video/live focus, full HD video, expanded autofocus, and more. As a seasoned instructor at the Palm Beach Photographic Center, Julie anticipates all questions, whether you?re a beginner or digital camera pro, and offers pages of easy-to-follow advice.Helps you get every bit of functionality out of the new Nikon D3100 camera Walks you through its exciting new features, including the 14-megapixel sensor, continous video/live focus, full HD video, expanded autofocus, and the updated in-camera menu Explores shooting in Auto mode, managing playback options, and basic troubleshooting Explains how to adjust the camera's manual settings for your own preferred exposure, lighting, focus, and color style Covers digital photo housekeeping tips?how to organize, edit, and share your files Tap all the tools in this hot new DSLR camera and start taking some great pix with Nikon D3100 For Dummies.

    

    If today you’ve listened to recorded music, watched a television show or movie, plugged something into an electric socket, had an X-ray, turned on your car, spoke on the telephone, or flicked on an electric light, you have Edison to thank for his pioneering work in these fields, and many more. Yet Edison is all too often remembered in popular culture only as villain for his feuds with other inventors, most notably the mad genius Nikola Tesla. In this thrilling, compact biography, Alexander Kennedy sorts fact from fiction in the life of the most prolific inventor in human history. We follow Edison, the ultimate self-made man, from his origins as a Michigan telegraph boy to the pinnacle of success as an industrial titan. Along the way, Kennedy carefully explains each of Edison’s key breakthroughs as well as the blots on his record, such as his anti-Semitism and his unhappy family life. The portrait that emerges is a man who is neither hero nor villain, sometimes a saint and sometimes a sinner—but always a genius... "Genius is one percent inspiration and ninety-nine percent perspiration." - Thomas Edison Buy Now to Discover: Explanations of Edison’s most important breakthroughs, written in accessible layman’s language. The founding of Menlo Park, one of the world’s greatest laboratories. The true story of Edison’s rivalry with Tesla. Edison’s pioneering role in discovering the health effects of tobacco. The surprising history of the electric chair and the electrocution of Topsy the elephant. Edison’s friendship with Henry Ford—and the trouble it led him into. Edison’s role in World War I. Read Your Book Now Your book will be instantly and automatically delivered to your Kindle device, smartphone, tablet, and computer. Money Back Guarantee If you start reading our book and are not completely satisfied with your purchase, simply return it to Amazon within 7 days for a full refund. Go to Your Account -> Manage Your Content and Devices -> Find the Book -> Return for Full Refund. Buy Now and Read the True Story of Thomas Edison Thank you in advance for buying our book. We know you'll love it!

    Paul Kalanithi. As he nears the end of his 7-year residency he gets the report no one wants, cancer. Now his forty-year plan is scrapped. The hopes and dreams he and Lucy, his wife, have held to are dramatically altered. In this book you will find the story of a man that seeks out truth and meaning in a very detailed way. From his undergraduate literary pursuits to his combined goal of neuroscience and surgery Dr. Kalanithi desires to connect meaning to every aspect of human life. As cancer becomes his story the reader will see the emotional decisions made about starting a family and continuing his beloved career. Dr. Kalanithi begins to see how his care for his patients would be altered as he experiences the treatments himself. Through every emotion Paul and Lucy share the love for each other and life. Inside this SUMMARY READS Summary & Highlights of When Breath Becomes Air: Summary of Each Chapter Highlights (Best Quotes) BONUS: Critics Corner BONUS: Free Report about The Tidiest and Messiest Places on Earth - http: //sixfigureteen.com/messy.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    The metric gives unparalleled insight into which teams and players are performing at the highest level.Professional gamblers have used Expected Goals to make millions through football betting. Club scouts have used Expected Goals to identify hidden gems in the transfer market. And the media have recently started using Expected Goals to offer more profound insight in their broadcasts.Despite this, most ordinary fans still don’t understand what the Expected Goals method is – or appreciate the significant impact that it is set to have on the sport in coming years.Expected Goals (otherwise known as xG) was originally conjured up by a small corner of the online football analytics community. It didn’t take long for professional gamblers to begin using xG to predict match outcomes. These bettors utilised the Expected Goals method to turn over hundreds of millions of pounds from the bookmakers.Before long, football clubs had caught on to the ground-breaking insight given by xG. Brentford FC were leaders in this field, managing to assemble a Play-Off-reaching squad on a shoe-string budget. In the last five years, the small West London side have turned over more than £100m in transfer profit from their use of the Expected Goals method in player recruitment.More recently, the Expected Goals method has been adopted by the media as a form of insight. Fans are finally catching on to the pioneering means of football analysis. Soon enough, anyone who doesn’t understand the Expected Goals philosophy will be left behind.“This book will make you watch football differently” – Tobias Pedersen“Possibly the most ground-breaking football book ever written” – Football Impact“A brilliant account of the history and future of Expected Goals” – StatShot