Writing with humour, humanity and solid scientific information reminiscent of Stumbling on Happiness and Freakonomics, Piers Steel explains why we knowingly and willingly put off a course of action despite recognizing we'll be worse off for it.For those who surf the Web instead of finishing overdue assignments, who always say diets start tomorrow, who stay up late watching TV to put off going to sleep, The Procrastination Equation explains why we do what we do — or in this case don't — and why in Western societies we're in the midst of an escalating procrastination epidemic.Dr. Piers Steel takes on the myths and misunderstandings behind procrastination and motivation — showing us how procrastination affects our lives, health, careers and happiness and what we can do about it. With accessible prose and the benefits of new scientific research, he provides insight into why we procrastinate even though the result is that we are less happy, healthy, even wealthy. Who procrastinates and why? How many ways, big and small, do we procrastinate? How can we stop doing it? The reasons are part cultural, part psychological, part biological. And, with a million new ways to distract ourselves in the digitized world — all of which feed on our built-in impulsiveness — more of us are potentially damaging ourselves by putting things off. But Steel not only analyzes the factors that weigh us down but the things that motivate us — including understanding the value of procrastination.

    This book can make you smarter.Mind Performance Hacks provides real-life tips and tools for overclocking your brain and becoming a better thinker. In the increasingly frenetic pace of today's information economy, managing your life requires hacking your brain. With this book, you'll cut through the clutter and tune up your brain intentionally, safely, and productively.Grounded in current research and theory, but offering practical solutions you can apply immediately, Mind Performance Hacks is filled with life hacks that teach you to:Use mnemonic tricks to remember numbers, names, dates, and other flotsam you need to recall. Put down your calculator and perform complex math in your head, with your fingers, or on the back of a napkin. Spark your creativity with innovative brainstorming methods. Use effective systems to capture new ideas before they get away. Communicate in creative new ways-even using artificial languages. Make better decisions by foreseeing problems and finding surprising solutions. Improve your mental fitness with cool tricks and games.While the hugely successful Mind Hacks showed you how your brain works, Mind Performance Hacks shows you how to make it work better.

    Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems."People sometimes ask me what they should read to find out about artificial intelligence. Herbert Simon's book The Sciences of the Artificial is always on the list I give them. Every page issues a challenge to conventional thinking, and the layman who digests it well will certainly understand what the field of artificial intelligence hopes to accomplish. I recommend it in the same spirit that I recommend Freud to people who ask about psychoanalysis, or Piaget to those who ask about child psychology: If you want to learn about a subject, start by reading its founding fathers." -- George A. Miller

    Available here:readmeaway.com/download?i=1593279523The Linux Command Line, 2nd Edition: A Complete Introduction PDF by William ShottsRead The Linux Command Line, 2nd Edition: A Complete Introduction PDF from No Starch Press,William ShottsDownload William Shotts’s PDF E-book The Linux Command Line, 2nd Edition: A Complete Introduction