It is the best and most successful guide to reading comprehension for the general reader. And now it has been completely rewritten and updated. You are told about the various levels of reading and how to achieve them – from elementary reading, through systematic skimming and inspectional reading, to speed reading, you learn how to pigeonhole a book, X-ray it, extract the author's message, criticize. You are taught the different reading techniques for reading practical books, imaginative literature, plays, poetry, history, science and mathematics, philosophy and social science. Finally, the authors offer a recommended reading list and supply reading tests whereby you can measure your own progress in reading skills, comprehension and speed.This a previously-published edition of ISBN 9780671212094

    However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art?Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniquesTopics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory Suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book Supplies supplementary course material for students at the associated website, http: //szeliski.org/Book/ Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

    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

    Then they came to Earth and amnesia set in: they forgot they were from different planets.Based on years of successful counseling of couples and individuals, Men Are from Mars, Women Are from Venus has helped millions of couples transform their relationships. Now viewed as a modern classic, this phenomenal book has helped men and women realize how different they really are and how to communicate their needs in such a way that conflict doesn't arise and intimacy is given every chance to grow!!!!

    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.

    This book was wonderful education for people, education in how to live life effectively and get closer to the ideal of being a ‘success’ in life.But not everyone understands Stephen Covey’s model fully well, or maybe there are some people who haven’t read it yet. This is definitely true because we still see so much failure all around us. Now, I am not saying that by using Covey’s model, or anyone else’s model for that matter, you can become a sure-shot success, but at least we should have seen many more successes around us already judging by the number of copies the book has sold! So, where is the shortcoming?There are two main problems here, and we are talking only about the people who have read the book already. The first problem is that most people are too lazy to implement the ideals of Stephen Covey in their lives. They consider his masterpiece of a book as a mere coffee-table book or a book that you use for light reading when you are traveling and then forget all about it. They do not realize that this book contains life-changing information. Or, they take the information and do not make the effort to actually utilize it so that it becomes knowledge for them.The second problem is that a lot of people have a myopic view of Covey’s ideals. These are people who are impressed by the book already. If you ask them what the seven habits are, they can rattle them off end to end, but then they miss the larger picture. They do not understand that Covey was trying to tell more than he wrote in words. There are hidden implications in this book, yes, and a lot of people have just failed to see through them.That is what we are trying to do. We are trying to show you how Covey’s book, or rather, his model, was a complete model in itself. There was nothing amiss about it. If you implement it, there should be no aspect of your life that should go untouched. The only thing is that you have to understand these ideals and try to implement them in your life.But, before we barge into that area, it is extremely important to understand what these ideals are. What was the model that was propounded by Stephen Covey in his mega-famous book? We shall begin by trying to understand his model first, and then interpret it in such a way that it pertains to every aspect of our life

    More than a series of fascinating case studies, To Engineer Is Human is a work that looks at our deepest notions of progress and perfection, tracing the fine connection between the quantifiable realm of science and the chaotic realities of everyday life."Alert, inquisitive, unspecialized, wholly human...refreshingly eclectic." --The Spectator"Henry Petroski is an ardent engineer, and if he writes more good books like this, he might find himself nominated to become the meistersinger of the guild. [This is] a refreshing plunge into the dynamics of the engineering ethos...as straightforward as an I-beam."--Science

    Rethinking the usage guide for the twenty-first century, Pinker doesn’t carp about the decline of language or recycle pet peeves from the rulebooks of a century ago. Instead, he applies insights from the sciences of language and mind to the challenge of crafting clear, coherent, and stylish prose. In this short, cheerful, and eminently practical book, Pinker shows how writing depends on imagination, empathy, coherence, grammatical knowhow, and an ability to savor and reverse engineer the good prose of others. He replaces dogma about usage with reason and evidence, allowing writers and editors to apply the guidelines judiciously, rather than robotically, being mindful of what they are designed to accomplish. Filled with examples of great and gruesome prose, Pinker shows us how the art of writing can be a form of pleasurable mastery and a fascinating intellectual topic in its own right.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    The title says it is the hard way to learn to writecode but it’s actually not. It’s the “hard” way only in that it’s the way people used to teach things. In this book youwill do something incredibly simple that all programmers actually do to learn a language: 1. Go through each exercise. 2. Type in each sample exactly. 3. Make it run.That’s it. This will be very difficult at first, but stick with it. If you go through this book, and do each exercise for1-2 hours a night, then you’ll have a good foundation for moving on to another book. You might not really learn“programming” from this book, but you will learn the foundation skills you need to start learning the language.This book’s job is to teach you the three most basic essential skills that a beginning programmer needs to know:Reading And Writing, Attention To Detail, Spotting Differences.

    But by knowing what they are and how to spot them, we can avoid them and make better choices-whether dealing with a personal problem or a business negotiation; trying to save money or make money; working out what we do or don't want in life: and how best to get it.Simple, clear and always surprising, this indispensable book will change the way you think and transform your decision-making-work, at home, every day. It reveals, in 99 short chapters, the most common errors of judgment, and how to avoid them.

    Be it hiring a new employee, investing in a financial interest, speaking with your child about drugs, confronting your significant other about suspected infidelity, or even dating someone new, having the ability to unmask a lie can have far-reaching and even life-altering consequences.As former CIA officers, Philip Houston, Michael Floyd, and Susan Carnicero are among the world’s best at recognizing deceptive behavior. Spy the Lie chronicles the captivating story of how they used a methodology Houston developed to detect deception in the counterterrorism and criminal investigation realms, and shows how these techniques can be applied in our daily lives.Through fascinating anecdotes from their intelligence careers, the authors teach listeners how to recognize deceptive behaviors, both verbal and nonverbal, that we all tend to display when we respond to questions untruthfully. For the first time, they share with the general public their methodology and their secrets to the art of asking questions that elicit the truth.Spy the Lie is a game-changer. You may never experience another book that has a more dramatic impact on your career, your relationships, or your future.©2012 Philip Houston, Susan Carnicero, Don Tennant, Michael Floyd (P)2012 Macmillan

    But what if the two are inextricably linked, equal partners in meaning-making? Written and drawn entirely as comics, Unflattening is an experiment in visual thinking. Nick Sousanis defies conventional forms of scholarly discourse to offer readers both a stunning work of graphic art and a serious inquiry into the ways humans construct knowledge.Unflattening is an insurrection against the fixed viewpoint. Weaving together diverse ways of seeing drawn from science, philosophy, art, literature, and mythology, it uses the collage-like capacity of comics to show that perception is always an active process of incorporating and reevaluating different vantage points. While its vibrant, constantly morphing images occasionally serve as illustrations of text, they more often connect in nonlinear fashion to other visual references throughout the book. They become allusions, allegories, and motifs, pitting realism against abstraction and making us aware that more meets the eye than is presented on the page.In its graphic innovations and restless shape-shifting, Unflattening is meant to counteract the type of narrow, rigid thinking that Sousanis calls “flatness.” Just as the two-dimensional inhabitants of Edwin A. Abbott’s novella Flatland could not fathom the concept of “upwards,” Sousanis says, we are often unable to see past the boundaries of our current frame of mind. Fusing words and images to produce new forms of knowledge, Unflattening teaches us how to access modes of understanding beyond what we normally apprehend.

    But is his extraordinary intellect merely a gift of fiction, or can we learn to cultivate these abilities ourselves, to improve our lives at work and at home?We can, says psychologist and journalist Maria Konnikova, and in Mastermind she shows us how. Beginning with the "brain attic"--Holmes's metaphor for how we store information and organize knowledge--Konnikova unpacks the mental strategies that lead to clearer thinking and deeper insights. Drawing on twenty-first-century neuroscience and psychology, Mastermind explores Holmes's unique methods of ever-present mindfulness, astute observation, and logical deduction. In doing so, it shows how each of us, with some self-awareness and a little practice, can employ these same methods to sharpen our perceptions, solve difficult problems, and enhance our creative powers. For Holmes aficionados and casual readers alike, Konnikova reveals how the world's most keen-eyed detective can serve as an unparalleled guide to upgrading the mind.

    of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve