The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

    Today, buffeted by one food fad after another, America is suffering from what can only be described as a national eating disorder. The omnivore's dilemma has returned with a vengeance, as the cornucopia of the modern American supermarket and fast-food outlet confronts us with a bewildering and treacherous food landscape. What's at stake in our eating choices is not only our own and our children's health, but the health of the environment that sustains life on earth.The Omnivore's Dilemma is a groundbreaking book in which one of America's most fascinating, original, and elegant writers turns his own omnivorous mind to the seemingly straightforward question of what we should have for dinner. The question has confronted us since man discovered fire, but, according to Michael Pollan, the bestselling author of The Botany of Desire, how we answer it today, ath the dawn of the twenty-first century, may well determine our very survival as a species. Should we eat a fast-food hamburger? Something organic? Or perhaps something we hunt, gather or grow ourselves?To find out, Pollan follows each of the food chains that sustain us—industrial food, organic or alternative food, and food we forage ourselves—from the source to a final meal, and in the process develops a definitive account of the American way of eating. His absorbing narrative takes us from Iowa cornfields to food laboratories, from feedlots and fast-food restaurants to organic farms and hunting grounds, always emphasizing our dynamic coevolutionary relationship with the handful of plant and animal species we depend on. Each time Pollan sits down to a meal, he deploys his unique blend of personal and investigative journalism to trace the origins of everything consumed, revealing what we unwittingly ingest and explaining how our taste for particular foods and flavors reflects our evolutionary inheritance.The surprising answers Pollan offers to the simple question posed by this book have profound political, economic, psychological, and even mortal implications for all of us. Ultimately, this is a book as much about visionary solutions as it is about problems, and Pollan contends that, when it comes to food, doing the right thing often turns out to be the tastiest thing an eater can do. Beautifully written and thrillingly argued, The Omnivore's Dilemma promises to change the way we think about the politics and pleasure of eating. For anyone who reads it, dinner will never again look, or taste, quite the same.

    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

    The practice of meditation—which includes living in the moment and being in touch with your emotions—can change your body and brain, keeping them fit, flexible and resilient as you age. TIME’s special edition offers: Mindfulness tips for everyone, from the novice to the lifetime meditator The latest research on mindfulness, heart health and sleep How to bring mindfulness into your day without having to sit still on a cushion

    But the environmental emergency is also a crisis for our philosophical habits of thought, confronting us with a problem that seems to defy not only our control but also our understanding. Global warming is perhaps the most dramatic example of what Timothy Morton calls “hyperobjects”—entities of such vast temporal and spatial dimensions that they defeat traditional ideas about what a thing is in the first place. In this book, Morton explains what hyperobjects are and their impact on how we think, how we coexist with one another and with nonhumans, and how we experience our politics, ethics, and art.Moving fluidly between philosophy, science, literature, visual and conceptual art, and popular culture, the book argues that hyperobjects show that the end of the world has already occurred in the sense that concepts such as world, nature, and even environment are no longer a meaningful horizon against which human events take place. Instead of inhabiting a world, we find ourselves inside a number of hyperobjects, such as climate, nuclear weapons, evolution, or relativity. Such objects put unbearable strains on our normal ways of reasoning.Insisting that we have to reinvent how we think to even begin to comprehend the world we now live in, Hyperobjects takes the first steps, outlining a genuinely postmodern ecological approach to thought and action.

    It offers a bold new way of thinking about and responding to the personal and strategic challenges everyone in business faces these days.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    Tenner shows why our confidence in technological solutions may be misplaced, and explores ways in which we can better survive in a world where despite technology's advances--and often because of them--"reality is always gaining on us."  For anyone hoping to understand the ways in which society and technology interact, Why Things Bite Back is indispensable reading.  "A bracing critique of technological determinism in both its utopian and dystopian forms...No one who wants to think clearly about our high-tech future can afford to ignore this book."--Jackson Lears, Wilson Quarterly

     The more tools you have at your disposal, the more likely you'll use the right tool for the job — and get it done right. The same is true when it comes to your thinking. The quality of your outcomes depends on the mental models in your head. And most people are going through life with little more than a hammer. Until now. The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making, productivity, and how clearly you see the world. You will discover what forces govern the universe and how to focus your efforts so you can harness them to your advantage, rather than fight with them or worse yet— ignore them. Upgrade your mental toolbox and get the first volume today!

    What makes an operating system modern? According to author Andrew Tanenbaum, it is the awareness of high-demand computer applications--primarily in the areas of multimedia, parallel and distributed computing, and security. The development of faster and more advanced hardware has driven progress in software, including enhancements to the operating system. It is one thing to run an old operating system on current hardware, and another to effectively leverage current hardware to best serve modern software applications. If you don't believe it, install Windows 3.0 on a modern PC and try surfing the Internet or burning a CD. Readers familiar with Tanenbaum's previous text, Operating Systems, know the author is a great proponent of simple design and hands-on experimentation. His earlier book came bundled with the source code for an operating system called Minux, a simple variant of Unix and the platform used by Linus Torvalds to develop Linux. Although this book does not come with any source code, he illustrates many of his points with code fragments (C, usually with Unix system calls). The first half of Modern Operating Systems focuses on traditional operating systems concepts: processes, deadlocks, memory management, I/O, and file systems. There is nothing groundbreaking in these early chapters, but all topics are well covered, each including sections on current research and a set of student problems. It is enlightening to read Tanenbaum's explanations of the design decisions made by past operating systems gurus, including his view that additional research on the problem of deadlocks is impractical except for "keeping otherwise unemployed graph theorists off the streets." It is the second half of the book that differentiates itself from older operating systems texts. Here, each chapter describes an element of what constitutes a modern operating system--awareness of multimedia applications, multiple processors, computer networks, and a high level of security. The chapter on multimedia functionality focuses on such features as handling massive files and providing video-on-demand. Included in the discussion on multiprocessor platforms are clustered computers and distributed computing. Finally, the importance of security is discussed--a lively enumeration of the scores of ways operating systems can be vulnerable to attack, from password security to computer viruses and Internet worms. Included at the end of the book are case studies of two popular operating systems: Unix/Linux and Windows 2000. There is a bias toward the Unix/Linux approach, not surprising given the author's experience and academic bent, but this bias does not detract from Tanenbaum's analysis. Both operating systems are dissected, describing how each implements processes, file systems, memory management, and other operating system fundamentals. Tanenbaum's mantra is simple, accessible operating system design. Given that modern operating systems have extensive features, he is forced to reconcile physical size with simplicity. Toward this end, he makes frequent references to the Frederick Brooks classic The Mythical Man-Month for wisdom on managing large, complex software development projects. He finds both Windows 2000 and Unix/Linux guilty of being too complicated--with a particular skewering of Windows 2000 and its "mammoth Win32 API." A primary culprit is the attempt to make operating systems more "user-friendly," which Tanenbaum views as an excuse for bloated code. The solution is to have smart people, the smallest possible team, and well-defined interactions between various operating systems components. Future operating system design will benefit if the advice in this book is taken to heart. --Pete Ostenson

    Its authors present a new view of cognition that has important social and ethical implications, for, they assert, the only world we humans can have is the one we create together through the actions of our coexistence. Written for a general audience as well as for students, scholars, and scientists and abundantly illustrated with examples from biology, linguistics, and new social and cultural phenomena, this revised edition includes a new afterword by Dr. Varela, in which he discusses the effect the book has had in the years since its first publication.

    'Crow Planet' richly weaves Haupt's own 'crow stories' as well as scientific and scholarly research and the history and mythology of crows, culminating in a book that is sure to make readers see the world around them in a very different way.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.