Today, says Dale Purves, the dominant research agenda may have taken us as far as it can--and neuroscientists may be approaching a paradigm shift. In this highly personal book, Purves reveals how we got to this point and offers his notion of where neuroscience may be headed next. Purves guides you through a half-century of the most influential ideas in neuroscience and introduces the extraordinary scientists and physicians who created and tested them. Purves offers a critical assessment of the paths that neuroscience research has taken, their successes and their limitations, and then introduces an alternative approach for thinking about brains. Building on new research on visual perception, he shows why common ideas about brain networks can't be right and uncovers the factors that determine our subjective experience. The resulting insights offer a deeper understanding of what it means to be human. - Why we need a better conception of what brains are trying to do and how they do it Approaches to understanding the brain over the past several decades may be at an impasse - The surprising lessons that can be learned from what we see How complex neural processes owe more to trial-and-error experience than to logical principles - Brains--and the people who think about them Meet some of the extraordinary individuals who've shaped neuroscience - The -ghost in the machine- problem The ideas presented further undermine the concept of free will

    Now he gathers the best of his best, updated and expanded upon, to guide readers on a mind-bending tour of the far frontier, and how these advances are radically transforming our lives. From the ways science and technology are fundamentally altering our bodies and our world (the world’s first bionic soldier, the future of evolution) to those explosive collisions between science and culture (life extension and bioweapons), we’re crossing moral and ethical lines we’ve never faced before.As Kotler writes, “Life is tricky sport—and that's the emotional core of this story, the real reason we can’t put Pandora back in the box. When you strip everything else away, technology is nothing more than the promise of an easier tomorrow. It’s the promise of hope. And how do you stop hope?”Join Kotler in this fascinating exploration of our incredible next: a deep dive into those future technologies happening now—and what it means to be a part of this brave new world.

    Theoretical, yet applied. Statistics for Business and Economics, Eleventh Edition, gives you the best of both worlds. Using a rich array of applications from a variety of industries, McClave/Sincich/Benson clearly demonstrates how to use statistics effectively in a business environment.The book focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data. As consumers and future producers of statistical inferences, readers are introduced to a wide variety of data collection and analysis techniques to help them evaluate data and make informed business decisions. As with previous editions, this revision offers an abundance of applications with many new and updated exercises that draw on real business situations and recent economic events. The authors assume a background of basic algebra.

     Author Paul Teutul, Jr., is arguably the most creative builder of custom "chopper" motorcycles in the world. His talents were revealed to millions of TV viewers worldwide on American Chopper, as well as later on a spinoff series, American Chopper Senior vs Junior. The Build gives the reader at Paul Jr.'s life behind the camera, which included volcanic conflict with his father and business mentor, Paul Sr. Using his own story of improbable success as an illustration, Paul Jr. offers insights on how anyone can find and activate often hidden talents. In a charming, often humorous way, The Build is a rallying cry to unleash God-designed creativity and live life to the fullest.

    When the cyborg arrives, she senses a worthy and dangerous opponent--one that's been dead for 800 years...

    Readers profit from its verbal-conceptual exposition and frequent use of examples.The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    That's what Ben Lindbergh and Sam Miller got to do when the Sonoma Stompers, an independent minor-league team in California, offered them the chance to run the team's baseball operations according to the most advanced statistics. The Only Rule Is It Has to Work is unlike any other baseball tale you've ever read.We tag along as Lindbergh and Miller apply their number-crunching insights to all aspects of assembling and running a team. We meet colorful figures like general manager Theo Fightmaster and boundary-breakers like the first openly gay professional player and the first Japanese manager in American professional baseball. Even José Canseco makes a cameo appearance.Will sabermetrics bring the Stompers a championship, or will they fall on their face? Will the team have a competitive advantage or is the old folk wisdom really true after all? Will the players be able to maximize their talents and attract the attention of big-league scouts, or will this be a fast track to oblivion?It's a wild ride, as the authors' infectious enthusiasm and feel for the absurd make the Stompers' story one that will speak to numbers geeks and traditionalists alike. And it proves that you don't need a bat or a glove to make a genuine contribution to the game.

    Nobel laureate Murray Gell-Mann offers a uniquely personal and unifying vision of the relationship between the fundamental laws of physics and the complexity and diversity of the natural world.

    No really, it is. Let me explain.It turns out that drooling dogs and ringing bells are far more important than a logo (thank you Pavlov).Sure, successful businesses have logos--easily recognizable logos. Playboy, McDonald's, Coke. But there's far more to their success than bunny ears, golden arches or a certain shade of red. Stripped of all the marketing lingo, branding is pretty simple: Your brand is all the associations that come to mind when your potential customers see or hear your name.Whether your focus is on personal branding or on branding your company culture--you've got to have more than a fancy logo and edgy color scheme to create brand stickability (you know, a brand your customers can't get out of their heads).Well, there’s a process to capturing attention and getting your foot in the door of your customers’ minds. Here's a taste of some of the personal branding advice you'll find in this book:You must become the first solution your customer thinks of when they have a problem you can solve. How?The first step is to figure out what your audience cares about. What keeps them up at night? What problems can you help them solve? From there, you need to apply these three steps:1) Frequency2) Repetition3) AnchoringIn this e-book, we’ll show you how to figure out what your customers really want. Then we will show you how to apply these three steps to help you become the trusted resource that comes to mind first when your customer’s itch needs to be scratched.Is real and authentic branding going to happen overnight? Probably not. But ask yourself this: Do you want short-term results that lose effectiveness? Or are you willing to invest a bit more time and effort to create long-term results that get better and better?If you're looking for a branding book that promises a quick fix, this isn't the book for you. But if you want to create a brand that sticks like superglue--read this book!Go ahead and let the wimps and whiners have the get-rich quick schemes that fizzle and fall flat like a wet firework. You want to ignite a branding bonfire.

    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

    If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to:Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

    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.

    We like to imagine that it’s based on evidence and the results of fair tests. In reality, those tests are often profoundly flawed. We like to imagine that doctors are familiar with the research literature surrounding a drug, when in reality much of the research is hidden from them by drug companies. We like to imagine that doctors are impartially educated, when in reality much of their education is funded by industry. We like to imagine that regulators let only effective drugs onto the market, when in reality they approve hopeless drugs, with data on side effects casually withheld from doctors and patients.All these problems have been protected from public scrutiny because they’re too complex to capture in a sound bite. But Dr. Ben Goldacre shows that the true scale of this murderous disaster fully reveals itself only when the details are untangled. He believes we should all be able to understand precisely how data manipulation works and how research misconduct on a global scale affects us. In his own words, “the tricks and distortions documented in these pages are beautiful, intricate, and fascinating in their details.” With Goldacre’s characteristic flair and a forensic attention to detail, Bad Pharma reveals a shockingly broken system and calls for something to be done. This is the pharmaceutical industry as it has never been seen before.

    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.