This book explains the technical aspects of hacking, including stack based overflows, heap based overflows, string exploits, return-into-libc, shellcode, and cryptographic attacks on 802.11b.

    His Incompleteness Theorem turned not only mathematics but also the whole world of science and philosophy on its head. Equally legendary were Gö's eccentricities, his close friendship with Albert Einstein, and his paranoid fear of germs that eventually led to his death from self-starvation. Now, in the first popular biography of this strange and brilliant thinker, John Casti and Werner DePauli bring the legend to life. After describing his childhood in the Moravian capital of Brno, the authors trace the arc of Gö's remarkable career, from the famed Vienna Circle, where philosophers and scientists debated notions of truth, to the Institute for Advanced Study in Princeton, New Jersey, where he lived and worked until his death in 1978. In the process, they shed light on Gö's contributions to mathematics, philosophy, computer science, artificial intelligence -- even cosmology -- in an entertaining and accessible way.

    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

    A director in theoretical neuroscience introduces readers to the latest findings in the science of decision-making, offering an accessible discussion of the origins of aesthetic choices, ethical behavior, financial decisions, and more, in an account that also connects behavioral science to mental illness and addiction.

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    Anthony Brandt and David Eagleman rifle through the inventions of human society like paleontologists ransacking the fossil record. Exploring examples from Apollo 13 to Pablo Picasso, they seek to answer the question: what lies at the heart of humanity's ability--and drive--to create? If you took a snapshot of any animal species' behavior, from apes to barnacles, and contrasted it with the same species 10,000 years ago, they'd all be carrying on pretty much as usual (and if they aren't, it's likely due to human influence). Humanity, on the other hand, would be nearly unrecognizable. Above all else, our drive to create is what makes us unique among all living things. Yet where does this all creation, innovation, and change come from? Why us? And if we better understand this -cognitive software-, can we harness it more responsibly to improve our lives, schools, businesses and institutions? Brandt and Eagleman examine hundreds of examples of human creativity through dramatic storytelling and stunning images in this beautiful, full-color volume. By drawing out what creative acts have in common and viewing them through the lens of cutting-edge neuroscience, they uncover the essential elements of this critical human ability, and encourage a more creative future for all of us.

    Compelling evidence shows that genetics plays a more important role than environment as intelligence develops from childhood, and that intelligence test scores correspond strongly to specific features of the brain assessed with neuroimaging. In understandable language, Richard J. Haier explains cutting-edge techniques based on genetics, DNA, and imaging of brain connectivity and function. He dispels common misconceptions, such as the belief that IQ tests are biased or meaningless, and debunks simple interventions alleged to increase intelligence. Readers will learn about the real possibility of dramatically enhancing intelligence based on neuroscience findings and the positive implications this could have for education and social policy. The text also explores potential controversies surrounding neuro-poverty, neuro-socioeconomic status, and the morality of enhancing intelligence for everyone. Online resources, including additional visuals, animations, questions and links, reinforce the material.

    Why do you still feel fat after losing weight? What makes video games so addictive? How can “practicing” your favorite sport in your imagination improve your game? The answers can be found in body maps.Just as road maps represent interconnections across the landscape, your many body maps represent all aspects of your bodily self, inside and out. In concert, they create your physical and emotional awareness and your sense of being a whole, feeling self in a larger social world.Moreover, your body maps are profoundly elastic. Your self doesn’t begin and end with your physical body but extends into the space around you. This space morphs every time you put on or take off clothes, ride a bike, or wield a tool. When you drive a car, your personal body space grows to envelop it. When you play a video game, your body maps automatically track and emulate the actions of your character onscreen. When you watch a scary movie, your body maps put dread in your stomach and send chills down your spine. If your body maps fall out of sync, you may have an out-of-body experience or see auras around other people.The Body Has a Mind of Its Own explains how you can tap into the power of body maps to do almost anything better–whether it is playing tennis, strumming a guitar, riding a horse, dancing a waltz, empathizing with a friend, raising children, or coping with stress. The story of body maps goes even further, providing a fresh look at the causes of anorexia, bulimia, obsessive plastic surgery, and the notorious golfer’s curse “the yips.” It lends insights into culture, language, music, parenting, emotions, chronic pain, and more. Filled with illustrations, wonderful anecdotes, and even parlor tricks that you can use to reconfigure your body sense, The Body Has a Mind of Its Own will change the way you think–about the way you think.“The Blakeslees have taken the latest and most exciting finds from brain research and have made them accessible. This is how science writing should always be.”–Michael S. Gazzaniga, Ph.D., author of The Ethical Brain“Through a stream of fascinating and entertaining examples, Sandra Blakeslee and Matthew Blakeslee illustrate how our perception of ourselves, and indeed the world, is not fixed but is surprisingly fluid and easily modified. They have created the best book ever written about how our sense of ‘self’ emerges from the motley collection of neurons we call the brain.”–Jeff Hawkins, co-author of On Intelligence “The Blakeslees have taken the latest and most exciting finds from brain research and have made them accessible. This is how science writing should always be.”–Michael S. Gazzaniga, Ph.D., author of The Ethical Brain“A marvelous book. In the last ten years there has been a paradigm shift in understanding the brain and how its various specialized regions respond to environmental challenges. In addition to providing a brilliant overview of recent revolutionary discoveries on body image and brain plasticity, the book is sprinkled with numerous insights.”–V. S. Ramachandran, M.D., director, Center for Brain and Cognition, University of California, San Diego

    Emphasizes the applications of theory, and contains new material on particle physics, electron-positron annihilation in solids and the Mossbauer effect. Includes new appendices on such topics as crystallography, Fourier Integral Description of a Wave Group, and Time-Independent Perturbation Theory.

    It features a visual presentation, designed to encourage learning; revised exercises to ensure clarity, balance and relevance; and clear commentary on the difficult subject of critical multivariable calculus topics.

    Too often, overwhelmed by anatomical detail, students miss out on the functional beauty of the nervous system and its relevance to clinical practice.

    With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time.Work hands-on with three practical data analysis projects based on casino gamesStore, retrieve, and change data values in your computer's memoryWrite programs and simulations that outperform those written by typical R usersUse R programming tools such as if else statements, for loops, and S3 classesLearn how to write lightning-fast vectorized R codeTake advantage of R's package system and debugging toolsPractice and apply R programming concepts as you learn them

    This concept is at the root of the computational worldview, which basically says that very complex systems — the world we live in — have their beginnings in simple mathematical equations. We've lately come to understand that such an algorithm is only the start of a never-ending story — the real action occurs in the unfolding consequences of the rules. The chip-in-a-box computers so popular in our time have acted as a kind of microscope, letting us see into the secret machinery of the world. In Lifebox, Rucker uses whimsical drawings, fables, and humor to demonstrate that everything is a computation — that thoughts, computations, and physical processes are all the same. Rucker discusses the linguistic and computational advances that make this kind of "digital philosophy" possible, and explains how, like every great new principle, the computational world view contains the seeds of a next step.

    This time physicist Robert Gilmore takes us on a journey with Dorothy, following the yellow building block road through the land of the Wizard of Quarks. Using characters and situations based on the Wizard of Oz story, we learn along the way about the fascinating world of particle physics. Classes of particles, from quarks to leptons are shown in an atomic garden, where atoms and molecules are produced. See how Dorothy, The Tin Geek, and the Cowardly Lion experience the bizarre world of subatomic particles.

    Objects in harmonic motion have the ability to transfer some of their energy over large distances. Light Nature: This chapter covers the nature of light, polarization, and color.