With this long-awaited revision, the authors continue to present the theory in a concise and straightforward manner, now with an eye out for the practical applications. They have revised this book to make it more accessible to today's students, including the addition of more material on writing proofs, more figures and pictures to convey ideas, side-boxes to highlight other interesting material, and a less formal writing style. Exercises at the end of each chapter, including some new, easier exercises, help readers confirm and enhance their understanding of the material. *NEW! Completely rewritten to be less formal, providing more accessibility to todays students. *NEW! Increased usage of figures and pictures to help convey ideas. *NEW! More detail and intuition provided for definitions and proofs. *NEW! Provides special side-boxes to present supplemental material that may be of interest to readers. *NEW! Includes more exercises, including many at a lower level. *NEW! Presents program-like notation for PDAs and Turing machines. *NEW! Increas

    This bundle includes the first three novels (out of nine) of this bestselling series. If you loved Ender's Game, Starship Troopers, and Old Man's War, you'll love Earthrise. From a USA Today bestselling author. BOOK 1: EARTH ALONE They came from deep space. They came to destroy us. Fifty years ago, bloodthirsty aliens devastated the Earth. Most of humanity perished. We fell into darkness. But now we rise from the ashes. Now we fight back. Marco Emery was born into the war. After his mother is killed, he joins the Human Defense Force, Earth's ragtag army. Emery must survive basic training, become a soldier, and finally face the aliens in battle. Against the alien onslaught, Earth stands alone. But we will fight. We will rise. We will win. BOOK 2: EARTH LOST Earth burns. We call them the scum. They came from deep space. Creatures of claws and endless malice, they ravage the world. As the war flares, as cities crumble, Private Marco Emery and his platoon blast into space. They won one battle on Earth. Their next battle must be fought in the darkness. The scum will not rest until the last human is dead. Marco and his friends must defeat them. They must win. Or Earth will fall. BOOK 3: EARTH RISING It's all-out war. Our cities fall. Millions die. The scum, these cruel aliens from deep space, are determined to kill us all. So we must kill them. Humanity musters its greatest fleet. Thousands of starships rally. Millions of soldiers deploy. For Earth to stand a chance, we must invade the aliens' homeworld. We must destroy their planet. Before they destroy ours. Earth's fleet flies through space. We fly toward millions of enemy ships. We fly to almost certain death. This will be the hour humanity falls . . . or the hour of our greatest victory.

    This full-color guide will have you blazing through the web, staying entertained with the latest apps and games, watching your favorite TV shows and movies, and, of course, reading magazines, newspapers, and books to indulge all your interests. Whether this is your first tablet or you're upgrading from another device, you'll get to know your Kindle Fire HD and rekindle your love of reading with "Kindle Fire HD For Dummies"!Covers the Kindle Fire HD and original Kindle FireHelps you navigate the interface, customize your settings, get connected, and take advantage of Amazon CloudShows you how to work with the built-in apps and find new ones to to try out from the Amazon AppstoreExplains how to fill your Kindle Fire with cool stuff - from movies and music to videos, photos, apps, e-books, and moreWalks you through using Amazon's incredibly smooth Amazon Silk web browser to find anything you need online and keep in touch with e-mail, Skype, Facebook, and TwitterLight 'er up and unleash the fun with "Kindle Fire HD For Dummies"!

    Jeff Jarvis tells Gutenberg's story from an entrepreneurial perspective, examining how he overcame technology hurdles, how he operated with the secrecy of a Steve Jobs but then shifted to openness, how he raised capital and mitigated risk, and how, in the end, his cash flow and equity structure did him in. This is also the inspiring story of a great disruptor. That is what makes Gutenberg the patron saint of entrepreneurs.

    Often, computer science and computer engineering curricula don't provide students with a concentrated and consistent introduction to the fundamental concepts that underlie all computer systems. Traditional computer organization and logic design courses cover some of this material, but they focus largely on hardware design. They provide students with little or no understanding of how important software components operate, how application programs use systems, or how system attributes affect the performance and correctness of application programs. - A more complete view of systems - Takes a broader view of systems than traditional computer organization books, covering aspects of computer design, operating systems, compilers, and networking, provides students with the understanding of how programs run on real systems. - Systems presented from a programmers perspective - Material is presented in such a way that it has clear benefit to application programmers, students learn how to use this knowledge to improve program performance and reliability. They also become more effective in program debugging, because t

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.