The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    Each idiom comes with a detailed description, example code showing the "wrong" way to do it, and code for the idiomatic, "Pythonic" alternative. *This version of the book is for Python 2.7.3+. There is also a Python 3.3+ version available.* "Writing Idiomatic Python" contains the most common and important Python idioms in a format that maximizes identification and understanding. Each idiom is presented as a recommendation to write some commonly used piece of code. It is followed by an explanation of why the idiom is important. It also contains two code samples: the "Harmful" way to write it and the "Idiomatic" way. * The "Harmful" way helps you identify the idiom in your own code. * The "Idiomatic" way shows you how to easily translate that code into idiomatic Python. This book is perfect for you: * If you're coming to Python from another programming language * If you're learning Python as a first programming language * If you're looking to increase the readability, maintainability, and correctness of your Python code What is "Idiomatic" Python? Every programming language has its own idioms. Programming language idioms are nothing more than the generally accepted way of writing a certain piece of code. Consistently writing idiomatic code has a number of important benefits: * Others can read and understand your code easily * Others can maintain and enhance your code with minimal effort * Your code will contain fewer bugs * Your code will teach others to write correct code without any effort on your part

    Fused under tight production deadlines and strict performance requirements, shaped by demanding player expectations, games are among the most complex software projects created today. Game AI Pro: Collected Wisdom of Game AI Professionals covers both the art and the technology of game AI. Nothing covered is theory or guesswork. The book brings together the accumulated wisdom, cutting-edge ideas, and clever tricks and techniques of 54 of today's top game AI professionals. Some chapters present techniques that have been developed and passed down within the community for years while others discuss the most exciting new research and ideas from today's most innovative games.The book includes core algorithms that you'll need to succeed, such as behavior trees, utility theory, spatial representation, path planning, motion control, and tactical reasoning. It also describes tricks and techniques that will truly bring your game to life, including perception systems, social modeling, smart camera systems, player prediction, and even an AI sound designer. Throughout, the book discusses the optimizations and performance enhancements that enable your game to run while maintaining 60 frames per second.

    Through inconceivably strong charisma and guile, the Celestia AI has been able to upload all but the true outliers in human behavior.Even these humans have their uses, however, and Celestia has been watching one man with interest. It'll be a while yet before Earth is completely uploaded, of course, but in the meantime, she has some errands for him to run...

    He is the last functioning bot in the galaxy, a broken machine that used to look like a man. Now he wanders between planets, searching for spare parts that can keep him running for a few more years. But he's out of parts, and he's nearly out of time.He's a valuable relic of a bygone era when bots were a luxury on Earth, back before they were hunted down and destroyed. More and more collectors want Tuck, damaged or not, as the centerpiece of their collections. They'll do anything to get him, but Tuck will do anything to stay free and functional.The truth is, Tuck is afraid to die.He was originally programmed to value human life, even if they don't value his, but he can't ignore his own need to survive, at any cost. That's why Tuck is haunted by memories of the sixteen people he has killed over the last 150 years.After a particularly dangerous run-in with a collector, Tuck meets a mysterious man dressed in white who offers a solution. In exchange for some help in a less-than-legal business venture, he'll give Tuck what he really wants: immortality. It's a bad idea, and Tuck knows it, but he can't ignore it.Even if it means killing again.

    Now, she must convince people, including her previous incarnation’s husband, that she is not the same person that they think she is. As she struggles to overcome the romantic and sexual expectations of her predecessor's husband, the new, digital Lynn Vargas must also contend with his mercurial attitude. Bill has a tendency to limit the functions of her body when he thinks she's “acting out.” Her only options are to either placate Bill or to somehow force his staff to openly acknowledge the implications of his behavior. Will they listen? Or will guilt cause them to shut their ears and their hearts? Every time Lynn confides in someone, they immediately run roughshod over her wishes, rebooting her without permission and adding software patches that change the way her senses work. The result is that all the other people in her life control what she can do with her body. As this truth sinks in, Lynn realizes that she has to face the only question that will ever matter: What makes a life worth living?

    Doug Erlandson provides a straightforward and easy-to-understand overview of the area of philosophy that deals with the concept of knowledge. Drawing on the thought of philosophers past and present, Erlandson examines and evaluates their views in a lively and engaging manner. The Theory of Knowledge Answers These Questions What is knowledge? Can I really know anything? Where does knowledge come from? What's the relation between the mind and the world? How do I know that other minds exist? ˃˃˃ Suitable as a classroom text and for independent study The Theory of Knowledge is a basic introduction to epistemology and presupposes no prior familiarity with philosophical thought. It is suited for introductory philosophy classes and for independent study. Scroll up and grab a copy today.

    And I love My Little Pony. So when an MMO of MLP comes out, of course I want to play it. But it's more than a game. It's a new look on life.

    Captain Kingsley should be so lucky.Captain Kingsley finds a great deal on a first-class solution. His new vessel comes equipped with hyperdrive, plenty of cup holders, and the latest in human-like AI. Maybe a bit too human, including a few annoying juvenile tendencies. ‘High maintenance’ takes on a whole new meaning aboard the universe’s first emotionally unstable spaceship!Even worse, the vessel’s advanced capabilities attract the attention of an alien race keen to demonstrate their prowess. When the danger is real but the intelligence is artificial, can Kingsley outwit both his enemies and his own ship?A humorous Science Fiction novelette at approximately 12,000 words.

    He begins teaching it how to understand and interpret art using methods the A.I. can easily understand. But does the prisoner have a hidden agenda, and is the knowledge he offers worth the risk?

    Besides the engineering students, the postgraduate students of computer science and computer applications and cognitive sciences researchers can equally benefit from this text. The basic concepts of artificial intelligence, together with knowledge representation, reasoning methods, acquisition, management and distributed architecture, have been nicely and instructively described. The various application domains and disciplines in engineering, management, medicine which cover different aspects of design, assembly and monitoring, have been presented with utility aspects of AI concepts in logic and knowledge. The book maintains a simple and comprehensible style of presentation for the different categories of readers such as students, researchers and professionals for their respective uses

    Even so, nothing can prepare him for what he discovers that hot afternoon in a tiny Kansas forest. Now the three alien children must depend on the brilliant boy, Liberty, and his friends to help them get back to the stars! Detailed Description: When three alien children take their parents’ ship, the Cerulean Star, out without their permission, no one knows. Now they are lost, with no way home! The three aliens are still searching for a way home when they discover an unusual planet—Earth. However, the human kids are not the only ones who’ve seen the beautiful, blue ship. Now the six children struggle to regain the ship and its precious freedom. The Cerulean Star: Liberty is a story of enduring courage. Set in the year 2012, it is fantasy/science-fiction with strong elements of adventure, humor, and intrigue. The first of a six book series, "Liberty" sets the stage for the ongoing adventure as two species—one from this world, one not—come together in a remarkable way.

    Friar Julian knows he might at least hear beautiful music once again if the abbey’s organ can be made to sing once more. Enter alleged thief Niku, who claims he can repair the organ—for the price of his freedom. A tale of the Liaden Universe® from Sharon Lee and Steve Miller

    The scientific method is often assumed to provide particularly secure knowledge...but, how can we be sure?