The man or woman who works eighteen-hour days and eats his or her meals on the run between appointments is usually viewed with a combination of respect and awe. But for many, this lifestyle leads to family problems, a decline in work productivity, and ultimately to physical and mental collapse.Chained to the Desk, best-selling author and widely respected family therapist Bryan E. Robinson's groundbreaking book, originally published in 1998, was the first comprehensive portrait of the workaholic. Thousands benefited from this innovative book, which profiles the myths behind this greatly misunderstood disorder and the inner psychological battle that work addicts wage against themselves. Intended for anyone touched by what Robinson calls "the best-dressed problem of the twenty-first century," the author also provides an inside look into the impact on those who live and work with them --partners, spouses, children, and colleagues--as well as the appropriate techniques for clinicians who treat them.In this new and updated edition, Robinson portrays the many different kinds of workaholism, drawing on hundreds of case reports from his own original research and years of clinical practice. From California to the Carolinas, men and women tell of their agonizing bouts with workaholism and the devastations left in its wake, struggles made all the more challenging in a world where the computer, cell phone, and Blackberry allow twenty-four-hour access to the office, even on weekends and from vacation spots. Adult children of workaholics describe their childhood pain and the lifelong legacies they still carry, and the spouses or partners of workaholics reveal the isolation and loneliness of their vacant relationships. Employers and business colleagues discuss the cost to the company when workaholism dominates the workplace.Chained to the Desk both counsels and consoles. It provides a step-by-step guide to help readers spot workaholism, understand it, and recover. Robinson presents strategies for workaholics and their loved ones on how to cope, and for people in the workplace on how to distinguish between work efficiency and workaholism.

    Includes creative solutions for effective management medically, behaviorally, socially, legally, financially, and emotionally of challenging elders who resist care. How To: Hire caregivers, get obstinate elders to give up driving, accept a housekeeper/caregiver, see different doctors, take medication, shower, eat properly, attend adult day care, move to a new residence and much more. Wealth of tips and valuable resources. ELDER RAGE includes an extensive Addendum by renowned dementia specialist, Rodman Shankle, MS MD: A Physician's Guide to Treating Dementia, making it valuable for the family to the physician. AUTHOR MEDIA includes: TODAY, CNN, PBS Alzheimer's Documentary, AARP Bulletin cover story, Woman's Day, Prevention, hundreds of radio/television interviews, hundreds of articles. AUTHOR HONORS include: Advocate of the Year from the National Association of Women Business Owners at their Remarkable Women Awards--and Media Award from the National Adult Day Services Association. ELDER RAGE is available in Print, Audio, eBook, and autographed via CC at the PayPal option: www.ElderRage.com/Order-2012.asp

    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

    Dorfman brings his years of expertise as instructor/counselor with the A's, Marlins, and Devil Rays to provide an easy-to-use, A-to-Z handbook which will give insight and instruction on how to pitch to peak performance at every level of the game. Perfect for pitchers who need that extra edge or hitters who want to better understand the mental moves on the mound.

    In a literal sense also, emotions are a chemical cocktail that course through our bodies. But while we have no problems with pleasant emotions, unpleasant emotions are the source of much angst in our lives. In Emotion: The Juice of Life, Sadhguru looks at the gamut of human emotions and how to turn them into stepping stones rather than stumbling blocks.Sadhguru is a yogi and profound mystic of our times. An absolute clarity of perception places him in a unique space in not only matters spiritual but in business, environmental and international affairs, and opens a new door on all that he touches.

    Essentially, you are estimating a probability, but then updating that estimate based on other things that you know. This book is designed to give you an intuitive understanding of how to use Bayes Theorem. It starts with the definition of what Bayes Theorem is, but the focus of the book is on providing examples that you can follow and duplicate. Most of the examples are calculated in Excel, which is useful for updating probability if you have dozens or hundreds of data points to roll in.

     If you have ever found yourself lost halfway through other introductory materials on this topic, this is the book for you. If you don't understand set terminology such as vectors, hyperplanes, and centroids, then this is also the book for you. This starter course isn't a picture story book but does include many visual examples that break algorithms down into a digestible and practical format. As a starter course, this book connects the dots and offers the crash course I wish I had when I first started. The kind of guide I wish had before I started taking on introductory courses that presume you’re two days away from an advanced mathematics exam. That’s why this introductory course doesn’t go further on the subject than other introductory books, but rather, goes a step back. A half-step back in order to help everyone make his or her first strides in machine learning and is an ideal study companion for the visual learner. In this step-by-step guide you will learn: - How to download free datasets - What tools and software packages you need - Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data - Preparing data for analysis, including k-fold Validation - Regression analysis to create trend lines - Clustering, including k-means and k-nearest Neighbors - Naive Bayes Classifier to predict new classes - Anomaly detection and SVM algorithms to combat anomalies and outliers - The basics of Neural Networks - Bias/Variance to improve your machine learning model - Decision Trees to decode classification Please feel welcome to join this starter course by buying a copy, or sending a free sample to your preferred device.

    With it you can prime yourself with the key concepts of statistics before getting involved in the associated calculations. Using words and diagrams instead of figures, formulae and equations, Derek Rowntree makes statistics accessible to those who are non-mathematicians. And just to get you into the spirit of things. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far you have mastered the subject.

    Whether you are a beginner or an advanced student of meditation, Qigong or Yoga, this book is for you! The dozens of easy to follow warm up exercises and ancient meditation techniques alone is worth the cost of this course. However, Oceanic Mind introduces not only the finest techniques, but a complete meditation strategy training for consistently profound meditation. The strategy training transforms meditation into a much much easier and a more customized process. Regardless of your background, you will love this book.

    Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills you’ll need alongside your technical know-how in order to succeed in the field. Following their clear and simple instructions you’ll craft a resume that hiring managers will love, learn how to ace your interview, and ensure you hit the ground running in your first months at your new job. Once you’ve gotten your foot in the door, learn to thrive as a data scientist by handling high expectations, dealing with stakeholders, and managing failures. Finally, you’ll look towards the future and learn about how to join the broader data science community, leaving a job gracefully, and plotting your career path. With this book by your side you’ll have everything you need to ensure a rewarding and productive role in data science.

    These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of Web intelligence, as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected.Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    Individual teachers, as reflective practitioners, still need to make their own decisions about how they are going to get students actively involved in large classes, to teach international students, and to assess in ways that enhance the quality of learning. But now that quality assurance and quality enhancement are required at the institutional level, the concept of constructive alignment is applied to the reflective institution, where it becomes a powerful underpinning to quality enhancement procedures. widespread than expected, leaving some teachers apprehensive about what it might mean for them. A new chapter elaborates on how ET can be used to enhance learning, but with a warning that any tool, electronic or otherwise, is as good as the thoughtful use to which it is put. interested in enhancing their teaching and their students' learning, and for administrators and teaching developers who are involved in teaching-related decisions on an institutional basis.

    As author Jeffrey Needham points out in this eye-opening book, big data can provide unprecedented insight into user habits, giving enterprises a huge market advantage. It will also inspire organizations to change the way they function."Disruptive Possibilities: How Big Data Changes Everything" takes you on a journey of discovery into the emerging world of big data, from its relatively simple technology to the ways it differs from cloud computing. But the big story of big data is the disruption of enterprise status quo, especially vendor-driven technology silos and budget-driven departmental silos. In the highly collaborative environment needed to make big data work, silos simply don't fit.Internet-scale computing offers incredible opportunity and a tremendous challenge--and it will soon become standard operating procedure in the enterprise. This book shows you what to expect.

    The book begins with an introduction to the language of statistics and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers:- Difficulty Rating Index for each chapter′s material- Tips for doing and thinking about a statistical technique- Top tens for everything from the best ways to create a graph to the most effective techniques for data collection- Steps that break techniques down into a clear sequence of procedures- SPSS tips for executing each major statistical technique- Practice exercises at the end of each chapter, followed by worked out solutions.The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book′s unhurried pace and thorough, friendly presentation.