Git is the version control system developed by Linus Torvalds for Linux kernel development. It took the open source world by storm since its inception in 2005, and is used by small development shops and giants like Google, Red Hat, and IBM, and of course many open source projects. A book by Git experts to turn you into a Git expert Introduces the world of distributed version control Shows how to build a Git development workflow
If you think ´´Modern? and ´´C? don´t belong in the same sentence, think again. The C standards committee actively reviews and extends the language, with updated published C standards as recently as 2018. In Modern C, author Jens Gustedt teaches you the skills and features you need to write relevant programs in this tried-and-true language, including Linux and Windows, device drivers, web servers and browsers, smartphones, and much more! Modern C teaches you to take your C programming skills to new heights, whether you´re just starting out with C or have more extensive experience. Organized by level, this comprehensive guide lets you jump in where it suits you best while still reaping the maximum benefits. Key Features * Fundamentals of C programming * Operators and functions * Performance techniques * C library functions For more than four decades, C has proved its usefulness and staying power for everything from massive systems for mainframes, satellites, and internet browsers to tiny embedded systems in vending machines, credit card readers, and alarm clocks. Today you´ll find lightning-fast, elegant C programs running in smartphone kernels, databases, 3D movies, video games, and scores of other modern applications. For programmers comfortable writing simple programs in a language like Java, Python, Ruby, C#, C++, or C. Jens Gustedt has been a senior scientist at the French National Institute for Computer Science and Control (INRIA) since 1998, working in areas including algorithms, scientific experimentation, models for coarse-grained parallelism, and distributed locking. Currently, he´s conducting the Modular C project, which has given rise to libraries such as arbogast and EiLck.
This is the first textbook on pattern recognition to present the Bayesian viewpoint. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible, and it uses graphical models to describe probability distributions. The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.This completely new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra isrequired, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher. The book is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information.Coming soon: For students, worked solutions to a subset of exercises available on a public web site (for exercises marked ´´www´´ in the text) For instructors, worked solutions to remaining exercises from the Springer web site Lecture slides to accompany each chapter Data sets available for download
PoC or GTFO, Volume 2 follows-up the wildly popular first volume with issues 9-13 of the eponymous hacker zine. Contributions range from humorous poems to deeply technical essays. The International Journal of Proof-of-Concept or Get The Fuck Out is a celebrated magazine of reverse engineering, retro-computing, and systems internals. This second collected volume holds all of the articles from releases nine to thirteen. Learn how to patch the firmware of a handheld amateur radio, then emulate that radio´s proprietary audio code under Linux. How to slow the Windows kernel when exploiting a race condition and how to make a PDF file taht is also an Android app, an audio file, or a Gameboy speedrun. How to hack a Wacom pen table with voltage glitching, then hack it again by pure software to read RDID tags from its surface. How to disassemble every last byte of an Atari game and how to bypass every classic form of copy protection on Apple ][. But above all else, beyond the nifty tricks and silly songs, this book exists to remind you what a clever engineer can build from a box of parts with a bit of free time. Not to show you what others have done, but to show you how they did it so that you can do the same.
For courses in Image Processing and Computer Vision. Introduce your students to image processing with the industry´s most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the book´s 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book.
The best practice test preparation for the foundational CompTIA Linux+ certification exam If you´re preparing for this all-important exam, turn to CompTIA Linux+ Practice Tests. The book covers the 5 objective domains, PLUS one additional 90-question practice exam, for a total of 1,000 practice test questions. Readers will also get one year of FREE access to the online test bank where they can study and work through the questions, reinforcing their skills and knowledge. Study for the CompTIA Linux+ certification with Sybex and get the advantage of exam day confidence. This book covers: Hardware and System Configuration Systems Operation and Maintenance Security Linux Troubleshooting and Diagnostics Automation and Scripting Linux is a UNIX-based operating system originally created by Linus Torvalds with the help of developers around the world. Developed under the GNU General Public License, the source code is free. Because of this, Linux is viewed by many organizations and companies as an excellent, low-cost, secure alternative to expensive OSs, such as Microsoft Windows. The CompTIA Linux+ exam tests a candidate´s understanding and familiarity with the Linux Kernel. As the Linux server market share continues to grow, so too does demand for qualified and certified Linux administrators.
This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.
This updated edition of Michael W. Lucas´ definitive volume on FreeBSD-based systems adds coverage of modern disks, the ZFS filesystem IPv6, redesigned jail and packaging systems, and virtualization, among dozens of new features added in the last 10 years. FreeBSD is the muscle behind companies like Netflix and EMC. Any place where someone does heavy lifting on the Internet, you´ll find FreeBSD. This newly revised edition of Absolute FreeBSD brings FreeBSD´s strengths to bear on your problems and covers FreeBSD´s newest features, all in the inimitable style that has made author Michael W. Lucas´ system administration books so popular. Any computer system is only as good as the system administrator´s knowledge. Absolute FreeBSD teaches you everything you need to know about managing FreeBSD systems, from installation, configuration, and taking the system from ´´just working´´ to ´´working well.´´ A cohesive focus on service delivery and best practice means that you can apply much of the book to other operating systems. Absolute FreeBSD dives deep into server management, taking you beyond just making things work and into understanding why they work. You´ll learn: How to best install FreeBSD to meet your needs Which filesystem to use in your environment How to back up and restore critical data How to tweak the kernel, and when not to Network configuration, from activating interfaces to selecting congestion control algorithms How to manage UFS, ZFS, and other critical filesystems FreeBSD´s software packaging system, including how to build your own package repository How and when to upgrade Techniques to build your own FreeBSD Advanced security features like blacklistd and packet filtering How to monitor and adjust performance Container-style virtualization with jails Diskless systems Panic management and bug reporting With Absolute FreeBSD readers will get the solid introduction they need while fans of the earlier editions will expand their skills even further.