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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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Название: Stock Exchange for python programmers Автор: Paulo Leonardo Vieira Rodrigues Издательство: Amazon.com Services LLC Год: 2020 Формат: epub/pdf(conv.) Страниц: 108 Размер: 10.7 Mb Язык: English
Python, due to its versatility and its consolidated community, has been used for some years in the field of data science and machine learning. This guide presents some statistics, creation of indicators, such as the crossing of moving averages, HiLo, MACD, Bollinger Bands, On Balance Volume - OBV, Relative Strength index - RSI, Average Directional Index - ADX, EMA 9 Strategy, etc. It is still shown how it is possible to create a backtesting system from scratch to test our indicators and strategies. |
Разместил: bomboane 1-03-2020, 10:58 | Комментарии: 0 | Подробнее
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Название: MACHINE LEARNING FOR BEGINNERS: A Comprehensive Guide To Algorithms For Machine Learning And Data Science Автор: William J. Ford Издательство: Amazon.com Services LLC Год: 2020 Формат: epub/mobi/pdf(conv.) Размер: 10.9 Mb Язык: English
Here’s just a tiny fraction of what you’ll discover in this book: The history of machine learning What machine learning can do for your business The machine learning algorithms... |
Разместил: bomboane 1-03-2020, 10:51 | Комментарии: 0 | Подробнее
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