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Author: Stephane Tuffery
Publisher: John Wiley & Sons
ISBN: 1119845033
Category : Computers
Languages : en
Pages : 548
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Book Description
DEEP LEARNING A concise and practical exploration of key topics and applications in data science In Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition. This is a thoroughly revised and updated edition of a book originally released in French, with new examples and methods included throughout. Classroom-tested and intuitively organized, Deep Learning: From Big Data to Artificial Intelligence with R offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. Readers will also find: A thorough introduction to practical deep learning techniques with explanations and examples for various programming libraries Comprehensive explorations of a variety of applications for deep learning, including image recognition and natural language processing Discussions of the theory of deep learning, neural networks, and artificial intelligence linked to concrete techniques and strategies commonly used to solve real-world problems Perfect for graduate students studying data science, big data, deep learning, and artificial intelligence, Deep Learning: From Big Data to Artificial Intelligence with R will also earn a place in the libraries of data science researchers and practicing data scientists.
Author: Tanya Bub
Publisher: Princeton University Press
ISBN: 140089039X
Category : Science
Languages : en
Pages : 273
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Book Description
An eccentric comic about the central mystery of quantum mechanics Totally Random is a comic for the serious reader who wants to really understand the central mystery of quantum mechanics--entanglement: what it is, what it means, and what you can do with it. Measure two entangled particles separately, and the outcomes are totally random. But compare the outcomes, and the particles seem as if they are instantaneously influencing each other at a distance—even if they are light-years apart. This, in a nutshell, is entanglement, and if it seems weird, then this book is for you. Totally Random is a graphic experiential narrative that unpacks the deep and insidious significance of the curious correlation between entangled particles to deliver a gut-feel glimpse of a world that is not what it seems. See for yourself how entanglement has led some of the greatest thinkers of our time to talk about crazy-sounding stuff like faster-than-light signaling, many worlds, and cats that are both dead and alive. Find out why it remains one of science's most paradigm-shaking discoveries. Join Niels Bohr's therapy session with the likes of Einstein, Schrödinger, and other luminaries and let go of your commonsense notion of how the world works. Use your new understanding of entanglement to do the seemingly impossible, like beat the odds in the quantum casino, or quantum encrypt a message to evade the Sphinx's all-seeing eye. But look out, or you might just get teleported back to the beginning of the book! A fresh and subversive look at our quantum world with some seriously funny stuff, Totally Random delivers a real understanding of entanglement that will completely change the way you think about the nature of physical reality.
Author: Melina Gerosa Bellows
Publisher: Bright Matter Books
ISBN: 0593450310
Category : Juvenile Nonfiction
Languages : en
Pages : 217
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Book Description
Can pigeons do math? How long would it take to drive to the moon? What happens when a seahorse gets angry? Discover the answers to these questions and more in this kid-friendly book of fun, fascinating Q&As! Got a random question? This book has the answer! Filled with cool photos and crazy curiosities, Totally Random Questions Volume 2 presents snack-sized answers to a series of wacky and fascinating questions about our wonderfully weird world! Kids will love testing their knowledge and stumping their friends with the unlikely info they'll find inside covering animals, science, sports, food, pop culture, and more. Written and designed to make any kid an instant genius—and maybe even a few parents too! Find more wacky Q&As in Totally Random Questions volumes 1-8, or tempt your trivia-loving kid with our fact-packed Totally Random Facts books!
Author: Melina Gerosa Bellows
Publisher: Bright Matter Books
ISBN: 0593450302
Category : Juvenile Nonfiction
Languages : en
Pages : 217
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Book Description
Are there volcanoes in space? Is a cloud heavier than an elephant? Why don't woodpeckers get concussions? Discover the answers to these questions and more in this kid-friendly book of fun, fascinating Q&As! Got a random question? This book has the answer! Packed with surprising facts and colorful photos, Totally Random Questions, Volume 1 presents snack-sized answers to a series of wacky, weird, but always amazing questions about our wonderfully wild world! Kids will love testing their knowledge and stumping their friends with the unlikely info they'll find inside covering animals, science, sports, food, pop culture, and more. Written and designed to make any kid an instant genius—and maybe even a few parents too! Find more wacky Q&As in Totally Random Questions volumes 1-8, or tempt your trivia-loving kid with our fact-packed Totally Random Facts books!
Author: Stephane Tuffery
Publisher: John Wiley & Sons
ISBN: 1119845033
Category : Computers
Languages : en
Pages : 548
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Book Description
DEEP LEARNING A concise and practical exploration of key topics and applications in data science In Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition. This is a thoroughly revised and updated edition of a book originally released in French, with new examples and methods included throughout. Classroom-tested and intuitively organized, Deep Learning: From Big Data to Artificial Intelligence with R offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. Readers will also find: A thorough introduction to practical deep learning techniques with explanations and examples for various programming libraries Comprehensive explorations of a variety of applications for deep learning, including image recognition and natural language processing Discussions of the theory of deep learning, neural networks, and artificial intelligence linked to concrete techniques and strategies commonly used to solve real-world problems Perfect for graduate students studying data science, big data, deep learning, and artificial intelligence, Deep Learning: From Big Data to Artificial Intelligence with R will also earn a place in the libraries of data science researchers and practicing data scientists.
Author: Sali Tagliamonte
Publisher: Cambridge University Press
ISBN: 1107037166
Category : Family & Relationships
Languages : en
Pages : 313
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Book Description
Tagliamonte documents the marginalised language of teens, presenting the fascinating inside story of language variation and change.
Author: Bruce J. West
Publisher: Cambridge University Press
ISBN: 1139493779
Category : Technology & Engineering
Languages : en
Pages : 386
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Book Description
Complex Webs synthesises modern mathematical developments with a broad range of complex network applications of interest to the engineer and system scientist, presenting the common principles, algorithms, and tools governing network behaviour, dynamics, and complexity. The authors investigate multiple mathematical approaches to inverse power laws and expose the myth of normal statistics to describe natural and man-made networks. Richly illustrated throughout with real-world examples including cell phone use, accessing the Internet, failure of power grids, measures of health and disease, distribution of wealth, and many other familiar phenomena from physiology, bioengineering, biophysics, and informational and social networks, this book makes thought-provoking reading. With explanations of phenomena, diagrams, end-of-chapter problems, and worked examples, it is ideal for advanced undergraduate and graduate students in engineering and the life, social, and physical sciences. It is also a perfect introduction for researchers who are interested in this exciting new way of viewing dynamic networks.
Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 0080547346
Category : Mathematics
Languages : en
Pages : 834
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Book Description
Introductory Statistics
Author: Shenghao Yang
Publisher: Springer Nature
ISBN: 3031792785
Category : Computers
Languages : en
Pages : 208
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Book Description
This book discusses an efficient random linear network coding scheme, called BATched Sparse code, or BATS code, which is proposed for communication through multi-hop networks with packet loss. Multi-hop wireless networks have applications in the Internet of Things (IoT), space, and under-water network communications, where the packet loss rate per network link is high, and feedbacks have long delays and are unreliable. Traditional schemes like retransmission and fountain codes are not sufficient to resolve the packet loss so that the existing communication solutions for multi-hop wireless networks have either long delay or low throughput when the network length is longer than a few hops. These issues can be resolved by employing network coding in the network, but the high computational and storage costs of such schemes prohibit their implementation in many devices, in particular, IoT devices that typically have low computational power and very limited storage. A BATS code consists of an outer code and an inner code. As a matrix generalization of a fountain code, the outer code generates a potentially unlimited number of batches, each of which consists of a certain number (called the batch size) of coded packets. The inner code comprises (random) linear network coding at the intermediate network nodes, which is applied on packets belonging to the same batch. When the batch size is 1, the outer code reduces to an LT code (or Raptor code if precode is applied), and network coding of the batches reduces to packet forwarding. BATS codes preserve the salient features of fountain codes, in particular, their rateless property and low encoding/decoding complexity. BATS codes also achieve the throughput gain of random linear network coding. This book focuses on the fundamental features and performance analysis of BATS codes, and includes some guidelines and examples on how to design a network protocol using BATS codes.
Author: Kaveh Pahlavan
Publisher: John Wiley & Sons
ISBN: 0471738638
Category : Technology & Engineering
Languages : en
Pages : 742
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Book Description
Towards location aware mobile ad hoc sensors A Systems Engineering Approach to Wireless Information Networks The Second Edition of this internationally respected textbook brings readers fully up to date with the myriad of developments in wireless communications. When first published in 1995, wireless communications was synonymous with cellular telephones. Now wireless information networks are the most important technology in all branches of telecommunications. Readers can learn about the latest applications in such areas as ad hoc sensor networks, home networking, and wireless positioning. Wireless Information Networks takes a systems engineering approach: technical topics are presented in the context of how they fit into the ongoing development of new systems and services, as well as the recent developments in national and international spectrum allocations and standards. The authors have organized the myriad of current and emerging wireless technologies into logical categories: * Introduction to Wireless Networks presents an up-to-the-moment discussion of the evolution of the cellular industry from analog cellular technology to 2G, 3G, and 4G, as well as the emergence of WLAN and WPAN as broadband ad hoc networks * Characteristics of Radio Propagation includes new coverage of channel modeling for space-time, MIMO, and UWB communications and wireless geolocation networks * Modem Design offers new descriptions of space-time coding, MIMO antenna systems, UWB communications, and multi-user detection and interference cancellation techniques used in CDMA networks * Network Access and System Aspects incorporates new chapters on UWB systems and RF geolocations, with a thorough revision of wireless access techniques and wireless systems and standards Exercises that focus on real-world problems are provided at the end of each chapter. The mix of assignments, which includes computer projects and questionnaires in addition to traditional problem sets, helps readers focus on key issues and develop the skills they need to solve actual engineering problems. Extensive references are provided for those readers who would like to explore particular topics in greater depth. With its emphasis on knowledge-building to solve problems, this is an excellent graduate-level textbook. Like the previous edition, this latest edition will also be a standard reference for the telecommunications industry.
Author:
Publisher:
ISBN:
Category : Recombinant DNA
Languages : en
Pages : 618
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Book Description
