Starting with the fundamentals, it describes the most advanced features of the most advanced language: Common Lisp. Only the top percentile of programmers use lisp and if you can understand this book you are in the top percentile of lisp programmers. If you are looking for a dry coding manual that re-hashes common-sense techniques in whatever langue du jour, this book is not for you. This book is about pushing the boundaries of what we know about programming. While this book teaches useful skills that can help solve your programming problems today and now, it has also been designed to be entertaining and inspiring. If you have ever wondered what lisp or even programming itself is really about, this is the book you have been looking for.

    We have learned little from the cataclysms of September 11 and Hurricane Katrina. When it comes to catastrophe, America is living on borrowed time-and squandering it. In this new book, leading security expert Stephen Flynn issues a call to action, demanding that we wake up and prepare immediately for a safer future. The truth is acts of terror cannot always be prevented, and nature continues to show its fury in frighteningly unpredictable ways. Resiliency, argues Flynn, must now become our national motto. With chilling frankness and clarity, Flynn paints an all too real scenario of the threats we face within our own borders. A terrorist attack on a tanker carrying liquefied natural gas into Boston Harbor could kill thousands and leave millions more of New Englanders without power or heat. The destruction of a ship with a cargo of oil in Long Beach, California, could bring the West Coast economy to its knees and endanger the surrounding population. But even these all-too-plausible terrorist scenarios pale in comparison to the potential destruction wrought by a major earthquake or hurricane. Our growing exposure to man-made and natural perils is largely rooted in our own negligence, as we take for granted the infrastructure handed down to us by earlier generations. Once the envy of the world, this infrastructure is now crumbling. After decades of neglect, our public health system leaves us at the mercy of microbes that could kill millions in the next flu pandemic. Flash flooding could wipe out a fifty-year-old dam north of Phoenix, placing thousands of homes and lives at risk. The next San Francisco earthquake could destroy century-old levees, contaminating the freshwater supply that most of California relies on for survival. It doesn't have to be this way. "The Edge of Disaster "tells us what we can do about it, as individuals and as a society. We can-and, Flynn argues, we must-construct a more resilient nation. With the wounds of recent national tragedies still unhealed, the time to act is now. Flynn argues that by tackling head-on, eyes open the perils that lie before us, we can remain true to our most important and endearing national trait: our sense of optimism about the future and our conviction that we can change it for the better for ourselves-and our children. "Steve Flynn offers the answer not only to protecting America from terrorist attacks and natural disaster but also to revitalizing our democracy. This book is a must-read for all members of Congress, 2008 presidential candidates, and ordinary citizens who want to build a better and safer future."-Anne-Marie Slaughter, dean, Woodrow Wilson School of Public and International Affairs, Princeton University Advance praise for "The Edge of Disaster" "Steve Flynn has done it again. Like America the Vulnerable before it, "The Edge of Disaster" is the must-read book for every American, elected official, and presidential candidate who is committed to ensuring that our nation continue to thrive in perilous times."-Mark Warner, former governor of Virginia "Since 9/11, protecting our nation against a terrorist attack has consumed policy makers in Washington. What Stephen Flynn points out in The Edge of Disaster is that much of this effort has been directed overseas, often at the expense of our homeland and its much more likely areas of vulnerability. Laying out a series of potential disasters both manmade and natural, Flynn calls for a greater emphasis on preparedness and the ability of communities and the nation to recover. Painting an often frustrating and infuriating picture of missed opportunities, "The Edge of Disaster "is a call to action. The time to act is now. We can only hope that policy makers are listening." -Christine Todd Whitman, former governor of New Jersey and former administrator, Environmental Protection Agency (2001-03) "Steve Flynn's book makes the very persuasive argument that national security preparedness is linked to natural disaster preparedness. By investing significantly in our critical infrastructure, in citizen preparedness, and most importantly in leadership, we can be better prepared for all hazards. A great book that I highly recommend." -James Lee Witt, former director, Federal Emergency Management Agency "Steve Flynn has become a relentless contributor to the dialogue on prioritizing the work of the post-9/11 security environment. "The Edge of Disaster" calls into question the neglect of domestic preparedness in favor of the Department of Defense-driven offensive in the global war on terrorism. The book offers provocative challenges to both our elected and our private-sector leaders, and both should read it thoroughly." -Admiral James M. Loy, former commandant, U.S. Coast Guard, and former deputy secretary of homeland security

    Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and seminars. More than 300 exercises are included with a selected hint set.

    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.

    Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

    0321513339 / 9780321513335 Physics for Scientists and Engineers: A Strategic Approach with Modern Physics and MasteringPhysicsâ�¢ Package consists of 0321513576 / 9780321513571 Student Workbook for Physics for Scientists and Engineers: A Strategic Approach with Modern Physics 0321516397 / 9780321516398 MasteringPhysicsâ�¢ with E-book Student Access Kit for Physics for Scientists and Engineers: A Strategic Approach 0805327363 / 9780805327366 Physics for Scientists and Engineers: A Strategic Approach with Modern Physics

    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

    It is planned to give a solid basis of the structures and vocabulary of English. Each book contains material for about a year's work, the vocabulary rising to some 3,000 words.The Teacher's Books provide notes on each lesson, the vocabulary to be taught, supplementary grammatical material and answers to exercises.In this new edition some of the grammatical sections have been, rewritten and expanded, and parts of the text and many illustrations have been brought up to date. Fundamentally, however, the new edition remains the same as previous editions.

    Crafted and edited with care, Worth Books set the standard for quality and give you the tools you need to be a well-informed reader.    This short summary and analysis of The Handmaid’s Tale by Margaret Atwood includes:   Historical context Part-by-part summaries Analysis of the main characters Themes and symbols Important quotes Fascinating trivia Glossary of terms Supporting material to enhance your understanding of the original work   About Margaret Atwood’s The Handmaid’s Tale:   Margaret Atwood’s dystopian literary masterpiece tells the story of Offred, a Handmaid living in the near future in what was once the United States. A new theocratic regime called the Republic of Gilead has come to power and changed life as she knew it.   Once Offred had a her own name and a loving family—a husband and daughter—both of which were taken from her; now she belongs to the Commander and his hostile wife, and her only value lies in her ability to bear a child for them. She used to read books and learn; now such things are forbidden to all women.   Gripping, disturbing, and so relevant today, The Handmaid’s Tale is a brilliant novel and a chilling warning about what can happen when extreme ideas are taken to their logical conclusions.   The summary and analysis in this ebook are intended to complement your reading experience and bring you closer to a great work of fiction.

     99.99% of the world’s mysteries are yet to be discovered and/or solved. Why not… It’s time for you to rediscover science? One of the most compelling draws of the sciences for many people is the potential of discovering something that was not known before. Whether someone’s doing it for fame, for fortune, or just for the fun of it, discovering something new, leaving your own personal mark for the rest of humanity’s time in the universe, is a tempting prospect for many. How would you feel about naming a star, and for others to know that you named it? That star would be visible in the sky for the rest of your lifetime, and more than likely for your great-great-great-grandchildren’s lifetimes. Your discovery would be immortalized above for the life of the star. Inside this book you will discover: -String theory and how it came about -Black holes and quantum gravity -If Schrödinger’s Cat is really a cat? -Disagreements between Einstein and Bohr -The double slit experiment Attention! Quantum Physics is NOT for everyone! This book is not for people: -Who doesn’t want to impress their girl with science -Who are not curious about the universe -Who isn’t inspired to name their own science theory If you are ready to learn about quantum physics, Scroll Up And Click On The “BUY NOW” Button Now!

    So begins the story of Sonia MacTaggert. An engineer by education with dreams of actually earning a living as one, she is stuck in a dead-end maintenance job servicing the engines of starships that put into port at Tammuz. When she finally lands an engineering position on the starship Night Searcher, she finds herself thrust into the unfamiliar world of interstellar exploration on a ship with a classified mission. Has her quest for a new life and career gotten Sonia more than she bargained for? The voyage of the Night Searcher tests not only the technical savvy of the fledgling engineer, but her character and leadership, as she's faced with challenges she could never have seen coming.

     -Byte, September 1995 I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up. -Charles Long If you think you're a really good programmer... read [Knuth's] Art of Computer Programming... You should definitely send me a resume if you can read the whole thing. -Bill Gates It's always a pleasure when a problem is hard enough that you have to get the Knuths off the shelf. I find that merely opening one has a very useful terrorizing effect on computers. -Jonathan Laventhol This first volume in the series begins with basic programming concepts and techniques, then focuses more particularly on information structures-the representation of information inside a computer, the structural relationships between data elements and how to deal with them efficiently. Elementary applications are given to simulation, numerical methods, symbolic computing, software and system design. Dozens of simple and important algorithms and techniques have been added to those of the previous edition. The section on mathematical preliminaries has been extensively revised to match present trends in research. Ebook (PDF version) produced by Mathematical Sciences Publishers (MSP), http: //msp.org

    Shilov, Professor of Mathematics at the Moscow State University, covers determinants, linear spaces, systems of linear equations, linear functions of a vector argument, coordinate transformations, the canonical form of the matrix of a linear operator, bilinear and quadratic forms, Euclidean spaces, unitary spaces, quadratic forms in Euclidean and unitary spaces, finite-dimensional algebras and their representations, with an appendix on categories of finite-dimensional spaces.The author begins with elementary material and goes easily into the advanced areas, covering all the standard topics of an advanced undergraduate or beginning graduate course. The material is presented in a consistently clear style. Problems are included, with a full section of hints and answers in the back.Keeping in mind the unity of algebra, geometry and analysis in his approach, and writing practically for the student who needs to learn techniques, Professor Shilov has produced one of the best expositions on the subject. Because it contains an abundance of problems and examples, the book will be useful for self-study as well as for the classroom.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    What will it take to turn this opportunity into reality in every classroom, school, and district? Continuing its tradition of mathematics education leadership, NCTM has defined and described the principles and actions, including specific teaching practices, that are essential for a high-quality mathematics education for all students. Principles to Actions: Ensuring Mathematical Success for All offers guidance to teachers, specialists, coaches, administrators, policymakers, and parents: Builds on the Principles articulated in Principles and Standards for School Mathematics to present six updated Guiding Principles for School MathematicsSupports the first Guiding Principle, Teaching and Learning, with eight essential, research-based Mathematics Teaching PracticesDetails the five remaining Principles--the Essential Elements that support Teaching and Learning as embodied in the Mathematics Teaching PracticesIdentifies obstacles and unproductive and productive beliefs that all stakeholders must recognize, as well as the teacher and student actions that characterize effective teaching and learning aligned with the Mathematics Teaching PracticesWith Principles to Actions, NCTM takes the next step in shaping the development of high-quality standards throughout the United States, Canada, and worldwide.