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 Название: Learn Kubernetes in a Month of Lunches (Final)
Автор: Elton Stoneman
Издательство: Manning Publications
Год: 2021
Формат: True PDF
Страниц: 676
Размер: 25 Mb
Язык: English
In Learn Kubernetes in a Month of Lunches you’ll go from “what’s a Pod?” to automatically scaling clusters of containers and components in just 22 hands-on lessons, each short enough to fit into a lunch break. Every lesson is task-focused and covers an essential skill on the road to Kubernetes mastery. You’ll learn how to smooth container management with Kubernetes, including securing your clusters, and upgrades and rollbacks with zero downtime. No development stack, platform, or background is assumed. Author Elton Stoneman describes all patterns generically, so you can easily apply them to your applications and port them to other projects! | |
Разместил: bomboane 14-02-2021, 12:36 | Комментарии: 0 | Подробнее
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 Название: R in Action, 3rd Edition (MEAP)
Автор: Rpbert Kabacoff
Издательство: Manning Publications
Год: 2020 Version 7
Формат: PDF
Страниц: 425
Размер: 10 Mb
Язык: English
This book should appeal to anyone who deals with data. No background in statistical programming or the R language is assumed. Although the book is accessible to novices, there should be enough new and practical material to satisfy even experienced R mavens.
There is a generally held notion that R is difficult to learn. What I hope to show you is that is doesn’t have to be. R is broad and powerful, with so many analytic and graphic functions available (more than 80,000 at last count) that it easily intimidates both novice and experienced users alike. But there is rhyme and reason to the apparent madness. With guidelines and instructions, you can navigate the tremendous resources available, selecting the tools you need to accomplish your work with style, elegance, efficiency, and certain degree of coolness. | |
Разместил: vitvikvas 14-02-2021, 12:10 | Комментарии: 0 | Подробнее
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 Название: Confident Coding: How to Write Code and Futureproof Your Career, 2nd Edition
Автор: Rob Percival, Darren Woods
Издательство: Kogan Page
Серия: Confident Series
Год: 2020
Страниц: 337
Язык: английский
Формат: pdf (true), epub
Размер: 16.0 MB
Coding is one of the most in-demand skills in the job market. Whether you're an entrepreneur, a recent graduate or a professional, you can supercharge your career simply by grasping the fundamentals, and Confident Coding is here to help. This new and improved second edition of the award-winning book gives you a step-by-step learning guide to HTML, CSS, jаvascript, Python, building iPhone and Android apps and debugging. For entrepreneurs, being able to create your own website or app can grant you valuable freedom and revolutionize your business. For aspiring developers, this book will give you the building blocks to embark on your career path. For working professionals, coding skills can add a valuable edge to your CV. | |
Разместил: Ingvar16 13-02-2021, 16:58 | Комментарии: 0 | Подробнее
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Название: Beginning CSS Web Development. From Novice to Professional
Автор: Simon Collison
Издательство: Apress
Год: 2006
Формат: pdf
Страниц: 446
Размер: 18 Mb
Язык: English
Cascading style sheets are one of the most important technologies on the web today, giving web developers the power to style their web sites so they are usable, lean and small in file size, look great, display consistently across most if not all web browsers, and are quick and efficient to change the look of if desired. There are many books out there on CSS, but this one is differentit wastes less time discussing theory, and gets straight to the practical learning, giving the reader what they need to know quicker. | |
Разместил: Bookworm 13-02-2021, 16:14 | Комментарии: 0 | Подробнее
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Название: Introduction to parallel computing
Автор: Ananth Grama, George Karypis, Vipin Kumar, Anshul Gupta
Издательство: Addison-Wesley
Год: 2003
Формат: pdf
Страниц: 656
Размер: 11 Mb
Язык: English
ntroducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards. It is the only book to have complete coverage of traditional Computer Science algorithms (sorting, graph and matrix algorithms), scientific computing algorithms (FFT, sparse matrix computations, N-body methods), and data intensive algorithms (search, dynamic programming, data-mining). | |
Разместил: Bookworm 13-02-2021, 16:06 | Комментарии: 0 | Подробнее
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Название: Algorithm design for networked information technology systems
Автор: Sumit Ghosh, C.V. Ramamoorthy
Издательство: Springer
Год: 2004
Формат: pdf
Страниц: 442
Размер: 119 Mb
Язык: English
Networked information technology (NIT) systems are synonymous with network-centric or net-centric systems and constitute the cornerstone of the fast approaching information age. To date, however, the design and development of NIT systems have been ad hoc and have suffered from a dearth of supporting scientific and theoretical principles. | |
Разместил: Bookworm 13-02-2021, 16:01 | Комментарии: 0 | Подробнее
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 Название: Frontiers in Quantum Computing
Автор: Luigi Maxmilian Caligiuri (Editor)
Издательство: Nova Science Pub Inc
Год: 2020
Формат: True PDF
Страниц: 430
Размер: 13.8 Mb
Язык: English
Quantum Computing is an ever-increasing field of interest both from a conceptual and applied standpoint and relates to the possibility to represent, process and manipulate information by using the principles of quantum mechanics. Apart from the theoretical importance of quantum computing to further understand the quantum mechanical behavior of physical systems and the physical foundation of information itself, probably the most interesting feature of Quantum Computing is related to the possibility to design and realize an actual quantum computer which processes information in the form of quantum-bits or qubits. | |
Разместил: bomboane 13-02-2021, 13:52 | Комментарии: 0 | Подробнее
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 Название: Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning
Автор: Taeho Jo
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 411
Размер: 10 Mb
Язык: English
This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning. | |
Разместил: vitvikvas 13-02-2021, 09:48 | Комментарии: 0 | Подробнее
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 Название: Algorithms: The Computer Science of Human Decisions
Автор: Omar Alkhiri
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 400
Язык: английский
Формат: pdf, azw3
Размер: 32.5 MB
Introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science. | |
Разместил: Ingvar16 13-02-2021, 08:02 | Комментарии: 0 | Подробнее
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 Название: Reinforcement Learning Pocket Reference: Making Recommendations Under Uncertainty (Early Release)
Автор: Matt Kirk
Издательство: O’Reilly Media, Inc.
Год: 2021-02-12
Язык: английский
Формат: epub, rtf
Размер: 10.1 MB
When it comes to pattern recognition, machine learning and deep learning are excellent--until the underlying data changes. Training ML models to make decisions in a dynamic, ever-changing environment requires reinforcement learning. In this pocket reference, author Matt Kirk shows data scientists, data engineers, and software developers how to apply reinforcement learning to real-world situations. Despite its long history in academia, reinforcement learning has yet to reach practical business applications. You'll explore how modeling data over time can apply to recommendations, dynamic pricing, medical treatment plans, customer personalization, and traffic flow. This guide includes an easy-to-reference checklist. | |
Разместил: Ingvar16 13-02-2021, 07:31 | Комментарии: 0 | Подробнее
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