But not all know how to craft great code - code that is well written and easy to understand. Code Craft teaches programmers how to move beyond writing correct code to writing great code. The book covers code writing concerns, including code presentation style, variable naming, error handling, and security; and the wider issues of programming in the real world, such as good teamwork, development processes, and documentation. Code Craft presents language-agnostic advice that is relevant to all developers, from an author with loads of practical experience. A Q&A section at the end of each chapter helps readers to review the material and makes the book suited for academic use as well.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, 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 models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This 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, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Simultaneously becoming more user friendly and more powerful as a back-end system, Linux has achieved new plateaus: the newer filesystems have solidified, new commands and tools have appeared and become standard, and the desktop--including new desktop environments--have proved to be viable, stable, and readily accessible to even those who don't consider themselves computer gurus. Whether you're using Linux for personal software projects, for a small office or home office (often termed the SOHO environment), to provide services to a small group of colleagues, or to administer a site responsible for millions of email and web connections each day, you need quick access to information on a wide range of tools. This book covers all aspects of administering and making effective use of Linux systems. Among its topics are booting, package management, and revision control. But foremost in Linux in a Nutshell are the utilities and commands that make Linux one of the most powerful and flexible systems available.Now in its fifth edition, Linux in a Nutshell brings users up-to-date with the current state of Linux. Considered by many to be the most complete and authoritative command reference for Linux available, the book covers all substantial user, programming, administration, and networking commands for the most common Linux distributions.Comprehensive but concise, the fifth edition has been updated to cover new features of major Linux distributions. Configuration information for the rapidly growing commercial network services and community update services is one of the subjects covered for the first time.But that's just the beginning. The book covers editors, shells, and LILO and GRUB boot options. There's also coverage of Apache, Samba, Postfix, sendmail, CVS, Subversion, Emacs, vi, sed, gawk, and much more. Everything that system administrators, developers, and power users need to know about Linux is referenced here, and they will turn to this book again and again.

    Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide. THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains: * a complete hypertext version of the full printed book. * the source code and URLs for all cited implementations. * over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.

    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.

    The manner in which computers are now able to mimic human thinking is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the age of machine learning, computers do not strictly need to receive an ‘input command’ to perform a task, but rather ‘input data’. From the input of data they are able to form their own decisions and take actions virtually as a human would. But as a machine, can consider many more scenarios and execute calculations to solve complex problems. This is the element that excites companies and budding machine learning engineers the most. The ability to solve complex problems never before attempted. This is also perhaps one reason why you are looking at purchasing this book, to gain a beginner's introduction to machine learning. This book provides a plain English introduction to the following topics: - Artificial Intelligence - Big Data - Downloading Free Datasets - Regression - Support Vector Machine Algorithms - Deep Learning/Neural Networks - Data Reduction - Clustering - Association Analysis - Decision Trees - Recommenders - Machine Learning Careers This book has recently been updated following feedback from readers. Version II now includes: - New Chapter: Decision Trees - Cleanup of minor errors

    A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

    Now this classic book has been fully updated and revised with leading-edge practices--and hundreds of new code samples--illustrating the art and science of software construction. Capturing the body of knowledge available from research, academia, and everyday commercial practice, McConnell synthesizes the most effective techniques and must-know principles into clear, pragmatic guidance. No matter what your experience level, development environment, or project size, this book will inform and stimulate your thinking--and help you build the highest quality code. Discover the timeless techniques and strategies that help you: Design for minimum complexity and maximum creativity Reap the benefits of collaborative development Apply defensive programming techniques to reduce and flush out errors Exploit opportunities to refactor--or evolve--code, and do it safely Use construction practices that are right-weight for your project Debug problems quickly and effectively Resolve critical construction issues early and correctly Build quality into the beginning, middle, and end of your project

    As the words "at work" suggest, Peter Seibel focuses on how his interviewees tackle the day–to–day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: http://www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 16 folks who’ve been kind enough to agree to be interviewed:- Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow- Joe Armstrong: Inventor of Erlang- Joshua Bloch: Author of the Java collections framework, now at Google- Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger- Douglas Crockford: JSON founder, JavaScript architect at Yahoo!- L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1- Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation - Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal - Dan Ingalls: Smalltalk implementor and designer- Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler- Donald Knuth: Author of The Art of Computer Programming and creator of TeX- Peter Norvig: Director of Research at Google and author of the standard text on AI- Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress- Ken Thompson: Inventor of UNIX- Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hackerWhat you’ll learn:How the best programmers in the world do their jobWho is this book for?Programmers interested in the point of view of leaders in the field. Programmers looking for approaches that work for some of these outstanding programmers.

    A rich tapestry of anecdotes, object lessons, parodies, insights, and predictions, The Cluetrain Manifesto illustrates how the Internet has radically reframed the seemingly immutable laws of business--and what business needs to know to weather the seismic aftershocks.

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

    With the refreshing candor reviewers admired in Writing Solid Code, Maguire talks about what did and what didn't work at Microsoft and tells you how to energize software teams to work effectively - and to enjoy their work; why you might want to kick your star programmer off your team; how to avoid corporate snares and overblown corporate processes; which tiny changes produce major results; how to deliver on schedule and without overwork; how to pull twice the value out of everything you do; how to get your team going on a creative roll; and how to raise the average programmer level at your company.

    It details the core protocols that make TCP/IP internetworks function, and the most important classical TCP/IP applications. Its personal, easy-going writing style lets anyone understand the dozens of protocols and technologies that run the Internet, with full coverage of PPP, ARP, IP, IPv6, IP NAT, IPSec, Mobile IP, ICMP, RIP, BGP, TCP, UDP, DNS, DHCP, SNMP, FTP, SMTP, NNTP, HTTP, Telnet and much more. The author offers not only a detailed view of the TCP/IP protocol suite, but also describes networking fundamentals and the important OSI Reference Model.

      Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.

    And with the advent of modern science, great minds have turned to testing and experimentation rather than mere thought as a way of approaching and grappling with some of the universe's most pressing and vexing dilemmas. So what is our latest picture of some of the most inexplicable features of the universe? What still remains to be uncovered? What are some of the next avenues of exploration for today's chemists, physicists, biologists, and astronomers? Pondering the answers to these and other questions is a great way to appreciate the grandeur and complexity of the world around you, better understand and discuss news and developments in science, and spark further interest in some of science's many exciting areas of study. "We know a lot about the universe. But there's even more that we don't know,"says astrophysicist and Professor Neil deGrasse Tyson, director of the Hayden Planetarium, an award-winning lecturer, and one of the world's foremost experts on the secrets of the universe. And his course The Inexplicable Universe: Unsolved Mysteries is the perfect gateway into this mind-bending and eye-opening subject. Each of these six self-contained lectures is a marvelous journey to the frontiers of the known (and unknown) universe and introduces you to tantalizing questions being addressed by the world's top scientists. Undeniably engaging and fascinating, this lecture series is a wonderful entrée to scientific pursuits that lie at the very heart of the history and nature of our universe. An Informed Scientific Conversation Central to The Inexplicable Universe is the way it takes you deep into hidden layers of the universe in a manner that is extremely accessible. Rather than a stern lecture given before a podium complete with confusing mathematics, Professor Tyson's lectures have the feel of an informed conversation that manages to be both thorough and easy to grasp. With each of the inexplicable mysteries he lays bare for you, Professor Tyson introduces you to the history behind it, lays out the science that has helped us grasp it, explains what researchers have discovered to date, and reveals what we have yet to discover. And while the topics explore subjects in everything from quantum mechanics to cosmology to string theory, you'll never feel overwhelmed by what you're learning. In fact, you're more likely to find yourself intrigued by just how much we know-and curious about what the near future will possibly reveal. Explore Fascinating Territory So what territory will you chart in this course? Here are some of the inexplicable ideas you'll investigate in these lectures. Neutrinos: Discovered in 1956, these fast-moving, ghostlike particles are made in abundance in the sun's core. They hardly interact with matter; it takes a light-year's worth of lead (5.8 trillion miles) to stop a neutrino. Not only that, but 65 billion neutrinos pass through every centimeter of your body that's facing the sun every second of every day. String theory: This astounding theory offers the hope of unifying all the particles and forces of physics. In the past several decades since the dawn of string theory, it's been imagined that all the fundamental particles we see and measure are just the manifestation in our dimension of strings vibrating in higher dimensions and at different frequencies. Quantum foam: This idea posits that when the fabric of space and time is so tightly curved on itself, space-time is less a smooth curve and more like the froth on a latte. In this state of matter and energy, quantum fluctuations can spawn entire universes, each with slightly different laws of physics within them! In addition, you'll also get a peek at what it would be like to travel through a black hole, ponder the possibility that life on Earth originated in debris from Mars, probe the supposed existence of multiple universes, and even imagine the possible end of the universe itself. A One-on-One Chat with a Renowned Science Educator Professor Tyson is renowned throughout the scientific community and the media for his vast knowledge, his penetrating insights, and his amazing ability to make even the most intimidating areas of science accessible, engaging, and-most of all-enjoyable. He brings the same inviting tone and sharp intellect to The Inexplicable Universe as he does to his range of media appearances on popular television programs. Due to its unique subject matter The Inexplicable Universe takes a highly visual approach. Many of the fascinating subjects in the course, such as black holes, string theory, and multiple universes are best demonstrated visually and Professor Tyson's lectures feature expertly crafted computer animations, explanatory diagrams, high resolution photographs, and other instructive visual elements. In order to better explain to you some of the grand, intricate ideas being discussed, Professor Tyson personally interacts with many of these animations and graphics using greenscreen technology. Please note that, due to the highly visual nature of The Inexplicable Universe, the course does not come with a guidebook. We did not believe a simple book could adequately convey the information in the course, and rather than make a guidebook that did not do the course justice, we decided to not offer one. However, we believe that you will be very excited by how we produced this course and will find it to be an enriching and fulfilling experience in your educational journey.