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 Название: Learn Quantum Computing with Python and Q#: A hands-on approach (MEAP)
Автор: Sarah C. Kaiser and Christopher E. Granade
Издательство: Manning Publications
Год: 2020
Формат: true pdf/epub
Страниц: 266
Размер: 17 Mb
Язык: English
Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Microsoft’s Quantum Development Kit to abstract away the mathematical complexities, this book builds your understanding of quantum computers by actively developing for them. You’ll start by learning QC fundamentals by creating your own quantum simulator in Python. Soon you’ll move on to using the QDK and the new Q# language for writing and running algorithms very different to those found in classical computing. When you’re finished you’ll be able to apply quantum programming techniques to applications like quantum key distribution, and tackle real-world examples such as chemistry simulations and searching unsorted databases. | |
Разместил: bomboane 2-03-2020, 12:02 | Комментарии: 0 | Подробнее
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 Название: Arduino: Simple and Effective Strategies to Arduino Programming
Автор: Ethan Thorpe
Издательство: Independently published
Год: 2019
Формат: epub/mobi/pdf(conv.)
Страниц: 228
Размер: 11 Mb
Язык: English
This book is for electronics and embedded system enthusiasts. With the help of our smart little superhero ARDUINO, you’ll be able to reproduce many things in your home that you only see in the movies.
We will start from the absolute basics. Hence no prior programming knowledge is required to understand and perform the projects in this book. This book is a complete step by step guide to get acquainted with the Arduino platform and learn how to program the Arduino boards. We will also teach you the C programming language used to program the microcontrollers and basic concepts of the programming. | |
Разместил: bomboane 2-03-2020, 11:24 | Комментарии: 0 | Подробнее
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 Название: Blockchain Cybersecurity, Trust and Privacy (Advances in Information Security)
Автор: Kim-Kwang Raymond Choo (Editor), Ali Dehghantanha (Editor), Reza M. Parizi (Editor)
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 290
Размер: 40.8 Mb
Язык: English
This book provides the reader with the most up-to-date knowledge of blockchain in mainstream areas of security, trust, and privacy in the decentralized domain, which is timely and essential (this is due to the fact that the distributed and P2P applications is increasing day-by-day, and the attackers adopt new mechanisms to threaten the security and privacy of the users in those environments). This book also provides the technical information regarding blockchain-oriented software, applications, and tools required for the researcher and developer experts in both computing and software engineering to provide solutions and automated systems against current security, trust and privacy issues in the cyberspace. | |
Разместил: bomboane 2-03-2020, 11:09 | Комментарии: 0 | Подробнее
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 Название: Succeeding with AI How to get the results you want (MEAP)
Автор: Veljko Krunic
Издательство:
Год: 2019
Формат: true pdf/epiub/azw3
Страниц: 272
Размер: 10 Mb
Язык: English
In Succeeding with AI, author and AI consultant Veljko Krunic reveals secrets for succeeding in AI that he developed with Fortune 500 companies, early-stage startups, and other businesses across multiple industries. Veljko first lays out a framework for determining the right questions to answer for your business. Then, he teaches you a repeatable process for properly organizing an AI project to maximize the value of limited sources, such as the time of your data scientists. | |
Разместил: bomboane 2-03-2020, 11:00 | Комментарии: 0 | Подробнее
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 Название: Deep Reinforcement Learning in Action (MEAP)
Автор: Alexander Zai and Brandon Brown
Издательство: Manning Publications
Год: 2020
Формат: true pdf/epub
Страниц: 351
Размер: 12.2 Mb
Язык: English
Deep Reinforcement Learning in Action teaches you how to program agents that learn and improve based on direct feedback from their environment. You’ll build networks with the popular PyTorch deep learning framework to explore reinforcement learning algorithms ranging from Deep Q-Networks to Policy Gradients methods to Evolutionary Algorithms. As you go, you’ll apply what you know to hands-on projects like controlling simulated robots, automating stock market trades, and even building a bot to play Go. | |
Разместил: bomboane 2-03-2020, 10:52 | Комментарии: 0 | Подробнее
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 Название: Machine Learning for Subsurface Characterization
Автор: Siddharth Misra, Hao Li
Издательство: Gulf Professional Publishing
Год: 2019
Страниц: 442
Язык: английский
Формат: pdf (true)
Размер: 86.1 MB
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine Learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the 'big data.' Deep learning (DL) is a subset of machine learning that processes 'big data' to construct numerous layers of abstraction to accomplish the learning task. | |
Разместил: Ingvar16 2-03-2020, 04:23 | Комментарии: 0 | Подробнее
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 Название: Numerical Methods for Ordinary Differential Equations with Programs
Автор: Ashok Kumar Singh, Arvind Kumar Singh
Издательство: Alpha Science
Год: 2018
Страниц: 261
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Differential equations find its applications in all fields of science and engineering because it can describe the modeling of nearly all systems involving rate of change. Due to this fact, it has widespread use in physics, engineering, economics, social science and also in biology. Many systems involving differential equations are so complex, or the systems they describe are so large, that a purely mathematical analysis is not possible and it provides only the existence of the solution, therefore, we have to seek the approximate solution by means of the numerical methods. Hence in these types of complex systems, the computer simulations and numerical approximations are useful. | |
Разместил: Ingvar16 1-03-2020, 21:32 | Комментарии: 0 | Подробнее
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 Название: C++ programming: The Ultimate Beginner's Guide to Learn C++ Step by Step - 2020
Автор: John Bach
Издательство: Independently published
Год: 2020
Язык: английский
Формат: pdf (conv), rtf, epub
Размер: 10.1 MB
C++ is a statically typed, compiled, general-purpose, case-sensitive, free-form programming language that supports procedural, object-oriented, and generic programming. C++ is regarded as a middle-level language, as it comprises a combination of both high-level and low-level language features. C++ was developed by Bjarne Stroustrup starting in 1979 at Bell Labs in Murray Hill, New Jersey, as an enhancement to the C language and originally named C with Classes but later it was renamed C++ in 1983. C++ is a superset of C, and that virtually any legal C program is a legal C++ program. | |
Разместил: Ingvar16 1-03-2020, 21:02 | Комментарии: 0 | Подробнее
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 Название: Data Science Programming All-In-One For Dummies
Автор: John Paul Mueller, Luca Massaron
Издательство: For Dummies
Год: 2020
Формат: EPUB
Страниц: 608
Размер: 11 Mb
Язык: English
Your logical, linear guide to the fundamentals of data science programming
Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. | |
Разместил: _аdmin_ 1-03-2020, 18:11 | Комментарии: 0 | Подробнее
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Название: Moving Hadoop to the Cloud
Автор: Bill Havanki
Издательство: O'Reilly
Год: 2017
Страниц: 338
Формат: PDF, EPUB, AZW3
Размер: 13 Mb
Язык: English
Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there’s a lot more to deploying Hadoop to the public cloud than simply renting machines. | |
Разместил: _аdmin_ 1-03-2020, 18:10 | Комментарии: 0 | Подробнее
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