This is a deeply technical book and focuses on the software engineering skills to ace your interview. The book is over 500 pages and includes 150 programming interview questions and answers, as well as other advice.The full list of topics are as follows:The Interview ProcessThis section offers an overview on questions are selected and how you will be evaluated. What happens when you get a question wrong? When should you start preparing, and how? What language should you use? All these questions and more are answered.Behind the ScenesLearn what happens behind the scenes during your interview, how decisions really get made, who you interview with, and what they ask you. Companies covered include Google, Amazon, Yahoo, Microsoft, Apple and Facebook.Special SituationsThis section explains the process for experience candidates, Program Managers, Dev Managers, Testers / SDETs, and more. Learn what your interviewers are looking for and how much code you need to know.Before the InterviewIn order to ace the interview, you first need to get an interview. This section describes what a software engineer's resume should look like and what you should be doing well before your interview.Behavioral PreparationAlthough most of a software engineering interview will be technical, behavioral questions matter too. This section covers how to prepare for behavioral questions and how to give strong, structured responses.Technical Questions (+ 5 Algorithm Approaches)This section covers how to prepare for technical questions (without wasting your time) and teaches actionable ways to solve the trickiest algorithm problems. It also teaches you what exactly "good coding" is when it comes to an interview.150 Programming Questions and AnswersThis section forms the bulk of the book. Each section opens with a discussion of the core knowledge and strategies to tackle this type of question, diving into exactly how you break down and solve it. Topics covered include• Arrays and Strings• Linked Lists• Stacks and Queues• Trees and Graphs• Bit Manipulation• Brain Teasers• Mathematics and Probability• Object-Oriented Design• Recursion and Dynamic Programming• Sorting and Searching• Scalability and Memory Limits• Testing• C and C++• Java• Databases• Threads and LocksFor the widest degree of readability, the solutions are almost entirely written with Java (with the exception of C / C++ questions). A link is provided with the book so that you can download, compile, and play with the solutions yourself.Changes from the Fourth Edition: The fifth edition includes over 200 pages of new content, bringing the book from 300 pages to over 500 pages. Major revisions were done to almost every solution, including a number of alternate solutions added. The introductory chapters were massively expanded, as were the opening of each of the chapters under Technical Questions. In addition, 24 new questions were added.Cracking the Coding Interview, Fifth Edition is the most expansive, detailed guide on how to ace your software development / programming interviews.

    In this richly illustrated book, accessible examples are used to show how information theory can be understood in terms of everyday games like '20 Questions', and the simple MatLab programs provided give hands-on experience of information theory in action. Written in a tutorial style, with a comprehensive glossary, this text represents an ideal primer for novices who wish to become familiar with the basic principles of information theory.Download chapter 1 from http://jim-stone.staff.shef.ac.uk/Boo...

    In other words, by all of us."--Dr. Bernie Siegel, author of Love, Medicine and MiraclesRule One for the neurologist in residence: "You ain't never the same when the air hits your brain." In this fascinating book, Dr. Frank Vertosick brings that fact to life through intimate portraits of patients and unsparing yet gripping descriptions of brain surgery.With insight, humor, and poignancy, Dr. Vertosick chronicles his remarkable evolution from naive young intern to world-class neurosurgeon, where he faced, among other challenges, a six week-old infant with a tumor in her brain, a young man struck down in his prime by paraplegia, and a minister with a .22 caliber bullet lodged in his skull. In candid detail, WHEN THE AIR HITS YOUR BRAIN illuminates both the mysteries of the mind and the realities of the operating room."Riveting."--Publishers Weekly

    The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo MCMC. Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

    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.

    Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling.--Walter Isaacson, author of The Code Breaker Recipient of starred reviews in both Kirkus and Library JournalTHE UNTOLD TECH STORY OF OUR TIMEWhat does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create?With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn't drive and didn't fly because he could no longer sit down--but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do.They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line.Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question:How far will we let it go?

    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

    The authors—two Norwegian sisters, one a neuropsychologist and the other an acclaimed writer—skillfully interweave history, research, and exceptional personal stories, taking readers on a captivating exploration of the evolving science of memory from its humble Renaissance beginnings up to the present day. They interview experts of all stripes, from the world’s top neuroscientists to famous novelists, from taxi drivers to quizmasters, to help explain how memory works, why it sometimes fails, and what we can do to improve it. Filled with cutting-edge research and nimble storytelling, the result is a charming—and memorable—adventure through human memory

    The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. The author addresses the topics in a practical way while providing complete information and references where other expositions can be found. He includes examples based on widely available datasets and practical and theoretical problems to test understanding and application of the material. The book describes algorithms with code examples backed up by a website that provides working implementations in Python. The author uses data from a variety of applications to demonstrate the methods and includes practical problems for students to solve.Highlights a Range of Disciplines and ApplicationsDrawing from computer science, statistics, mathematics, and engineering, the multidisciplinary nature of machine learning is underscored by its applicability to areas ranging from finance to biology and medicine to physics and chemistry. Written in an easily accessible style, this book bridges the gaps between disciplines, providing the ideal blend of theory and practical, applicable knowledge."

    These black-and-white and vibrantly colored images, many resembling abstract art, are employed daily by scientists around the world, but most have never before been seen by the general public. Each chapter addresses a different set of techniques for studying the brain as revealed through the images, and each is introduced by a leading scientist in that field of study. Author Carl Schoonover’s captions provide detailed explanations of each image as well as the major insights gained by scientists over the course of the past 20 years. Accessible to a wide audience, this book reveals the elegant methods applied to study the mind, giving readers a peek at its innermost workings, helping us to understand them, and offering clues about what may lie ahead. Praise for Portraits of the Mind: "An odyssey through the brain, illuminated by a rainbow" --New York Times "Stunning images" --Scientific American "The collection of images in the new book Portraits of the Mind is truly impressive . . . The mix of history, science and art is terrific." -Wired.com "History, science, and art come together to provide a unique perspective on what's going on upstairs." --New Yorker.com "No knowledge of the source or subject matter of these images is necessary; the book is justified by their beauty alone." --Science "A remarkable new book"- -Discover.com "John Keats's insistence that truth is beauty is exemplified by Carl Schoonover's wonderful book Portraits of the Mind. Since one cannot understand the present without examining the past, this book offers a delightful and instructive way of accomplishing just that. I enthusiastically recommend this beautiful book both to students of brain science and to lovers of art." -Eric R. Kandel, MD, Nobel Prize in Physiology or Medicine, 2000; University Professor at Columbia; Fred Kavli Professor and Director, Kavli Institute for Brain Science; Senior Investigator at the Howard Hughes Medical Institute; and author of In Search of Memory: The Emergence of a New Science of Mind "Portraits of the Mind achieves a rare combination of beauty and knowledge. Its images of the brain are mesmerizing, from medieval engravings to modern visualizations as gorgeously abstract as anything by Rothko or de Kooning. And in explaining the nature of these images, this book also delivers an enlightening, up-to-date history of neuroscience." -Carl Zimmer, author of Soul Made Flesh: The Discovery of the Brain-and How It Changed the World and The Mind's Eye Goes Blind: Fifteen Journeys Through the Brain "Portraits of the Mind is a remarkable book that combines beautifully reproduced illustrations of the nervous system as it has been visualized over the centuries, as well as lively and authoritative commentaries by some of today's leading neuroscientists. It will be enjoyed by professionals and general readers alike." --Dale Purves, MD, Professor of Neurobiology, Psychology and Neuroscience; and Philosophy at Duke University

    Broks fuses classic cases of neuropsychology with the his own case studies, philosophical debate, and thought provoking riffs and meditations on the nature of neurological impairments and dysfunctions.

    Now, with the intellectual curiosity and emotional wisdom that make his columns among the most read in the nation, Brooks turns to the building blocks of human flourishing in a multilayered, profoundly illuminating work grounded in everyday life.This is the story of how success happens. It is told through the lives of one composite American couple, Harold and Erica—how they grow, push forward, are pulled back, fail, and succeed. Distilling a vast array of information into these two vividly realized characters, Brooks illustrates a fundamental new understanding of human nature. A scientific revolution has occurred—we have learned more about the human brain in the last thirty years than we had in the previous three thousand. The unconscious mind, it turns out, is most of the mind—not a dark, vestigial place but a creative and enchanted one, where most of the brain’s work gets done. This is the realm of emotions, intuitions, biases, longings, genetic predispositions, personality traits, and social norms: the realm where character is formed and where our most important life decisions are made. The natural habitat of The Social Animal. Drawing on a wealth of current research from numerous disciplines, Brooks takes Harold and Erica from infancy to school; from the “odyssey years” that have come to define young adulthood to the high walls of poverty; from the nature of attachment, love, and commitment, to the nature of effective leadership. He reveals the deeply social aspect of our very minds and exposes the bias in modern culture that overemphasizes rationalism, individualism, and IQ. Along the way, he demolishes conventional definitions of success while looking toward a culture based on trust and humility.The Social Animal is a moving and nuanced intellectual adventure, a story of achievement and a defense of progress. Impossible to put down, it is an essential book for our time, one that will have broad social impact and will change the way we see ourselves and the world.

    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

    Encompassing recent advances in molecular pharmacology and brain imaging, Drugs, The Brain and Behavior offers a unique breadth of coverage from historical accounts of drug use, through clinical and preclinical behavioural studies, to the latest research on drug effects in transgenic mouse models.

    You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, data visualizations with Python's super-handy libraries, and a simple web app you can deploy online.As you work through Python Crash Course, you'll learn how to: Use powerful Python libraries and tools, including matplotlib, NumPy, and PygalMake 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progressesWork with data to generate interactive visualizationsCreate and customize simple web apps and deploy them safely onlineDeal with mistakes and errors so you can solve your own programming problemsIf you've been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!