Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    Written in a frank but engaging style, Debuggingprovides simple, foolproof principles guaranteed to help find any bug quickly. This book makes those shelves of application-specific debugging books (on C++, Perl, Java, etc.) obsolete. It changes the way readers think about debugging, making those pesky problems suddenly much easier to find and fix. Illustrating the rules with real-life bug-detection war stories, the book shows readers how to: * Understand the system: how perceiving the ""roadmap"" can hasten your journey * Quit thinking and look: when hands-on investigation can’t be avoided * Isolate critical factors: why changing one element at a time can be an essential tool * Keep an audit trail: how keeping a record of the debugging process can win the day

     They are also used in countless industries such as medicine, manufacturing and finance to help companies make better decisions and reduce risk. Whether coded or scratched out by hand, both algorithms are powerful tools that can make a significant impact. This book is a visual introduction for beginners that unpacks the fundamentals of decision trees and random forests. If you want to dig into the basics with a visual twist plus create your own machine learning algorithms in Python, this book is for you.

    Two leaders in the requirements community have teamed up to deliver a contemporary set of practices covering the full range of requirements development and management activities on software projects. Describes practical, effective, field-tested techniques for managing the requirements engineering process from end to end. Provides examples demonstrating how requirements "good practices" can lead to fewer change requests, higher customer satisfaction, and lower development costs. Fully updated with contemporary examples and many new practices and techniques. Describes how to apply effective requirements practices to agile projects and numerous other special project situations. Targeted to business analysts, developers, project managers, and other software project stakeholders who have a general understanding of the software development process. Shares the insights gleaned from the authors' extensive experience delivering hundreds of software-requirements training courses, presentations, and webinars.New chapters are included on specifying data requirements, writing high-quality functional requirements, and requirements reuse. Considerable depth has been added on business requirements, elicitation techniques, and nonfunctional requirements. In addition, new chapters recommend effective requirements practices for various special project situations, including enhancement and replacement, packaged solutions, outsourced, business process automation, analytics and reporting, and embedded and other real-time systems projects.

    I asked other people and they didn't seem to know how these things work, or at least they couldn't explain them in a way that I could understand. Counter Hack Reloaded is the clearest explanation of these tools I have ever seen. Thank you!" --Stephen Northcutt, CEO, SANS Institute "Ed Skoudis does it again! With this new edition, Ed takes a phenomenal work to the next level! This book is a 'must-have' and a 'must-read' for anyone remotely associated with computers and computer security." --Harlan Carvey, CISSP, author of Windows Forensics and Incident Recovery "Ed Skoudis is a rare individual. He knows the innards of all the various systems, knows all the latest exploits and defenses, and yet is able to explain everything at just the right level. The first edition of Counter Hack was a fascinating read. It's technically intriguing and very clear. . . . A book on vulnerabilities, though, will get out of date, and so we definitely needed this updated and significantly rewritten second edition. This book is a wonderful overview of the field." --From the Foreword by Radia Perlman, series editor, The Radia Perlman Series in Computer Networking and Security; author of Interconnections; and coauthor of Network Security: Private Communications in a Public World "What a great partnership! Ed Skoudis and Tom Liston share an uncanny talent for explaining even the most challenging security concepts in a clear and enjoyable manner. Counter Hack Reloaded is an indispensable resource for those who want to improve their defenses and understand the mechanics of computer attacks." --Lenny Zeltser, coauthor of Malware: Fighting Malicious Code "Ed Skoudis does it again! With this new edition, Ed takes a phenomenal work to the next level! This book is a 'must-have' and a 'must-read' for anyone remotely associated with computers and computer security." --Harlan Carvey, CISSP, author of Windows Forensics and Incident Recovery "In addition to having breadth of knowledge about and probing insights into network security, Ed Skoudis's real strength is in his ability to show complex topics in an understandable form. By the time he's done, what started off as a hopeless conglomeration of acronyms starts to sound comfortable and familiar. This book is your best source for understanding attack strategies, attack tools, and the defenses against both." --William Stearns, network security expert, www.stearns.org "This book is a must-have for anyone in the Internet security game. It covers everything from the basic principles to the fine details of online attack methods and counter-strategies and is very engagingly written." --Warwick Ford, coauthor of Secure Electronic Commerce For years, Counter Hack has been the primary resource for every network/system administrator and security professional who needs a deep, hands-on understanding of hacker attacks and countermeasures. Now, leading network security expert Ed Skoudis, with Tom Liston, has thoroughly updated this best-selling guide, showing how to defeat today's newest, most sophisticated, and most destructive attacks.For this second edition, more than half the content is new and updated, including coverage of the latest hacker techniques for scanning networks, gaining and maintaining access, and preventing detection. The authors walk you through each attack and demystify every tool and tactic. You'll learn exactly how to establish effective defenses, recognize attacks in progress, and respond quickly and effectively in both UNIX/Linux and Windows environments.Important features of this new edition includeAll-new "anatomy-of-an-attack" scenarios and tools An all-new section on wireless hacking: war driving, wireless sniffing attacks, and more Fully updated coverage of reconnaissance tools, including Nmap port scanning and "Google hacking" New coverage of tools for gaining access, including uncovering Windows and Linux vulnerabilities with Metasploit New information on dangerous, hard-to-detect, kernel-mode rootkits

    Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming.Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science.* Understand fundamental computing concepts, such as Turing completeness in languages* Discover how programs use dynamic semantics to communicate ideas to machines* Explore what a computer can do when reduced to its bare essentials* Learn how universal Turing machines led to today’s general-purpose computers* Perform complex calculations, using simple languages and cellular automata* Determine which programming language features are essential for computation* Examine how halting and self-referencing make some computing problems unsolvable* Analyze programs by using abstract interpretation and type systems

    It is suitable for a one or two semester university course on AI, as well as for researchers in the field.

    Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts.This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology.Master the fundamentals of star schema design and slow change processingIdentify situations that call for multiple stars or cubesEnsure compatibility across subject areas as your data warehouse growsAccommodate repeating attributes, recursive hierarchies, and poor data qualitySupport conflicting requirements for historic dataHandle variation within a business process and correlation of disparate activitiesBoost performance using derived schemas and aggregatesLearn when it's appropriate to adjust designs for BI and ETL tools

    Now, 10 years later and in the third edition, this classic still reigns supreme as the book written by an SQL master that teaches future SQL masters. These are not just tips and techniques; Joe also offers the best solutions to old and new challenges and conveys the way you need to think in order to get the most out of SQL programming efforts for both correctness and performance.In the third edition, Joe features new examples and updates to SQL-99, expanded sections of Query techniques, and a new section on schema design, with the same war-story teaching style that made the first and second editions of this book classics.

    Here is a complete library of dimensional modeling techniques-- the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball's classic guide is more than sixty percent updated.The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including:* Retail sales and e-commerce* Inventory management* Procurement* Order management* Customer relationship management (CRM)* Human resources management* Accounting* Financial services* Telecommunications and utilities* Education* Transportation* Health care and insuranceBy the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.This book is also available as part of the Kimball's Data Warehouse Toolkit Classics Box Set (ISBN: 9780470479575) with the following 3 books:The Data Warehouse Toolkit, 2nd Edition (9780471200246)The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775)The Data Warehouse ETL Toolkit (9780764567575)

    This new edition has been rewritten and expanded to stay current with database system trends.

    

    It should be labelled 'start here'." --Pieter Jan Stappers, ID-StudioLab, Delft University of Technology

    The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it.In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go.Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.