Implementing Cloud Robotics for Practical Applications, Mello
Автор: Thrun, Sebastian Название: Probabilistic robotics ISBN: 0262201623 ISBN-13(EAN): 9780262201629 Издательство: MIT Press Рейтинг: Цена: 95930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
An introduction to the techniques and algorithms of the newest field in robotics.
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Автор: Corke, Peter Название: Robotics, Vision and Control, 2 ed. ISBN: 3319544128 ISBN-13(EAN): 9783319544120 Издательство: Springer Рейтинг: Цена: 0.00 T Наличие на складе: Невозможна поставка. Описание: Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together.
Автор: Babo Rosalina, Dey Nilanjan, Ashour Amira S. Название: Workgroups Eassessment: Planning, Implementing and Analysing Frameworks ISBN: 9811599076 ISBN-13(EAN): 9789811599071 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book was developed during a particular pandemic situation in the whole world which confined people to their homes. This book provides a better understanding about the importance of teams` assessment and collaborative work, as well as the use of collaboration tools and online assessment techniques supported by technology.
Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers discusses quantum computing in the cloud using IBM Q Experience including: the composer, quantum scores, experiments, circuits, simulators, real quantum devices, and more. You’ll be able to run experiments in the cloud on a real quantum device.
Furthermore, this book shows you how to do quantum programming using the QISKit (Quantum Information Software Kit), Python SDK, and other APIs such as QASM (Quantum Assembly). You’ll learn to write code using these languages and execute it against simulators (local or remote) or a real quantum computer provided by IBM’s Q Experience. Finally, you’ll learn the current quantum algorithms for entanglement, random number generation, linear search, integer factorization, and others. You’ll peak inside the inner workings of the Bell states for entanglement, Grover’s algorithm for linear search, Shor’s algorithm for integer factorization, and other algorithms in the fields of optimization, and more.
Along the way you’ll also cover game theory with the Magic Square, an example of quantum pseudo-telepathy where parties sharing entangled states can be observed to have some kind of communication between them. In this game Alice and Bob play against a referee. Quantum mechanics allows Alice and Bob to always win!
By the end of this book, you will understand how this emerging technology provides massive parallelism and significant computational speedups over classical computers, and will be prepared to program quantum computers which are expected to replace traditional computers in the data center.
What You Will Learn
Use the Q Experience Composer, the first-of-its-kind web console to create visual programs/experiments and submit them to a quantum simulator or real device on the cloudRun programs remotely using the Q Experience REST API Write algorithms that provide superior performance over their classical counterpartsBuild a Node.js REST client for authenticating, listing remote devices, querying information about quantum processors, and listing or running experiments remotely in the cloudCreate a quantum number generator: The quintessential coin flip with a quantum twistDiscover quantum teleportation: This algorithm demonstrates how the exact state of a qubit (quantum information) can be transmitted from one location to another, with the help of classical communication and quantum entanglement between the sender and receiverPeek into single qubit operations with the classic game of Battleships with a quantum twistHandle the counterfeit coin problem: a classic puzzle that consists of finding a counterfeit coin in a beam balance among eight coins in only two turns
Who This Book Is For
Developers and programmers interested in this new field of computing.
Автор: Wickham, Mark Название: Practical java machine learning ISBN: 1484239504 ISBN-13(EAN): 9781484239506 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms including Google Cloud Platform and Amazon Web Services.
Practical Java Machine Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity, each of which produce data that can power unique machine learning solutions. You will learn to build a variety of applications that demonstrate the capabilities of the Google Cloud Platform machine learning API, including data visualization for Java; document classification using the Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data.
After reading this book, you will come away with case study examples and projects that you can take away as templates for re-use and exploration for your own machine learning programming projects with Java.
What You Will Learn
Identify, organize, and architect the data required for ML projectsDeploy ML solutions in conjunction with cloud providers such as Google and AmazonDetermine which algorithm is the most appropriate for a specific ML problemImplement Java ML solutions on Android mobile devicesCreate Java ML solutions to work with sensor dataBuild Java streaming based solutions
Who This Book Is For
Experienced Java developers who have not implemented machine learning techniques before.
Автор: Lanham Micheal Название: Practical AI on the Google Cloud Platform: Utilizing Google`s State-Of-The-Art AI Cloud Services ISBN: 1492075817 ISBN-13(EAN): 9781492075813 Издательство: Wiley Рейтинг: Цена: 67570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Working with AI is complicated and expensive for many developers. That`s why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools. With this book, you`ll learn how to use Google`s AI-powered cloud services to do everything from creating a chatbot to analyzing text.
Автор: Fattah, Hossam Название: Lte cellular narrowband internet of things (nb-iot) ISBN: 0367636298 ISBN-13(EAN): 9780367636296 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Поставка под заказ. Описание: This book is a unique resource in understanding practical uses of the NB-IoT technology and serves as a handbook for technical and non-technical readers who are looking for practicing and exercising the cellular NB-IoT technology.
Автор: Fattah, Hossam Название: LTE Cellular Narrowband Internet of Things (NB-IoT) ISBN: 0367690144 ISBN-13(EAN): 9780367690144 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Поставка под заказ.
Автор: Tabii Название: Big Data, Cloud and Applications ISBN: 3319962914 ISBN-13(EAN): 9783319962917 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the thoroughly refereed proceedings of the Third International Conference on Big Data, Cloud and Applications, BDCA 2018, held in Kenitra, Morocco, in April 2018.The 45 revised full papers presented in this book were carefully selected from 99 submissions with a thorough double-blind review process.
Автор: Jack Hollingum Название: Implementing an Information Strategy in Manufacture ISBN: 3662301903 ISBN-13(EAN): 9783662301906 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book grew out of the belief that, although the potential of CIM is widely recognised, there is little understanding and great nervousness concerning the practical matter of its implementation.
Автор: Seneque Gareth, Chua Darrell Название: Hands-On Deep Learning with Go ISBN: 1789340993 ISBN-13(EAN): 9781789340990 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Go ecosystem comprises some really powerful Deep Learning tools. This book shows you how to use these tools to train and deploy scalable Deep Learning models. You will explore a number of modern Neural Network architectures such as CNNs, RNNs, and more. By the end, you will be able to train your own Deep Learning models from scratch, using ...
Автор: Yousif Abdullatif Albastaki, Wasan Awad Название: Implementing Computational Intelligence Techniques for Security Systems Design ISBN: 1799824187 ISBN-13(EAN): 9781799824183 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 174630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recently, cryptology problems, such as designing good cryptographic systems and analyzing them, have been challenging researchers. Many algorithms that take advantage of approaches based on computational intelligence techniques, such as genetic algorithms, genetic programming, and so on, have been proposed to solve these issues.
Implementing Computational Intelligence Techniques for Security Systems Design is an essential research book that explores the application of computational intelligence and other advanced techniques in information security, which will contribute to a better understanding of the factors that influence successful security systems design. Featuring a range of topics such as encryption, self-healing systems, and cyber fraud, this book is ideal for security analysts, IT specialists, computer engineers, software developers, technologists, academicians, researchers, practitioners, and students.
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