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 Название: Algorithms and Data Structures for Massive Datasets (MEAP Version 1, 3)
Автор: Dzejla Medjedovic, Emin Tahirovic, and Ines Dedovic
Издательство: Manning Publications
Год: 2020
Формат: true pdf/epub, true pdf
Размер: 23.3 Mb, 19 Mb
Язык: English
Data structures and algorithms that are great for traditional software may quickly slow or fail altogether when applied to huge datasets. Algorithms and Data Structures for Massive Datasets introduces a toolbox of new techniques that are perfect for handling modern big data applications. You’ll discover methods for reducing and sketching data so it fits in small memory without losing accuracy, and unlock the algorithms and data structures that form the backbone of a big data system. Filled with fun illustrations and examples from real-world businesses, you’ll learn how each of these complex techniques can be practically applied to maximize the accuracy and throughput of big data processing and analytics. | |
Разместил: bomboane 15-04-2021, 10:57 | Комментарии: 0 | Подробнее
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 Название: Machine Learning Bookcamp: Build a portfolio of real-life projects (MEAP Version 5, 10)
Автор: Alexey Grigorev
Издательство: Manning Publications
Год: 2020-2021
Формат: true pdf/epub+code, true pdf
Страниц: 319, 502
Размер: 14.3 Mb, 11.4 Mb
Язык: English
In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you’ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You’ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you’re done working through these fun and informative projects, you’ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. | |
Разместил: bomboane 15-04-2021, 10:49 | Комментарии: 0 | Подробнее
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 Название: API Design Patterns (MEAP Version 07)
Автор: JJ Geewax
Издательство: Manning Publications
Год: 2021
Формат: True PDF
Страниц: 416
Размер: 17.2 Mb
Язык: English
Modern software systems are composed of many servers, services, and other components that communicate through APIs. As a developer, your job is to make sure these APIs are stable, reliable, and easy to use for other developers. API Design Patterns provides you with a unique catalog of design standards and best practices to ensure your APIs are flexible and user-friendly. Fully illustrated with examples and relevant use-cases, this essential guide covers patterns for API fundamentals and real-world system designs, along with quite a few not-so-common scenarios and edge-cases. | |
Разместил: bomboane 15-04-2021, 10:37 | Комментарии: 0 | Подробнее
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 Название: Distributed Services with Go: Your Guide to Reliable, Scalable, and Maintainable Systems (Version: P1.0)
Автор: Travis Jeffery
Издательство: Pragmatic Bookshelf
Год: 2021
Формат: true pdf/epub
Страниц: 245
Размер: 13.2 Mb
Язык: English
This is the book for Gophers who want to learn how to build distributed systems. You know the basics of Go and are eager to put your knowledge to work. Build distributed services that are highly available, resilient, and scalable. This book is just what you need to apply Go to real-world situations. Level up your engineering skills today. | |
Разместил: bomboane 15-04-2021, 00:45 | Комментарии: 0 | Подробнее
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 Название: Foundations of Software Testing ISTQB Certification, Fourth edition
Автор: Dorothy Graham, Rex Black, Erik van Veenendaal
Издательство: Cengage Learning EMEA
Год: 2020
Формат: PDF
Страниц: 287
Размер: 226.3 Mb
Язык: English
Now in its fourth edition, Foundations of Software Testing: ISTQB Certification is the essential guide to software testing and to the ISTQB Foundation qualification. Completely updated to comprehensively reflect the most recent changes to the 2018 ISTQB Foundation Syllabus, the book adopts a practical, hands-on approach, covering the fundamental topics that every system and software tester should know. | |
Разместил: bomboane 14-04-2021, 21:12 | Комментарии: 0 | Подробнее
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 Название: Professional WPF and C# Programming: Practical Software Development Using WPF and C#
Автор: Alex Khang PhD
Издательство: Independently published
Год: 2020
Страниц: 405
Язык: английский
Формат: pdf
Размер: 11.3 MB
Many e-books introduce the WPF and C#, but the most professional knowledge and practical guides as well as the most valuable that you need to buy is "Professional WPF and C# Programming - Practical Windows Desktop Apps Development Using WPF and C#". This book guides to design and develop the Windows Desktop app by using very detailed and professional techniques of WPF and C# programming language. So students, freshers, junior developers and even senior engineers in Software Engineering can learning along easily. If you want to get an in-depth practical of WPF platform and powerful, then this book is surly choice for you. | |
Разместил: Ingvar16 14-04-2021, 15:04 | Комментарии: 0 | Подробнее
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 Название: Kubernetes Security and Observability (Early Release)
Автор: Alex Pollitt and Manish Sampat
Издательство: O’Reilly Media
Год: 2021-04-12: Second Release
Формат: EPUB
Страниц: 76
Размер: 10 Mb
Язык: English
This practical book introduces new cloud native approaches for Kubernetes practitioners, like yourself, who care about the security and observability of mission-critical microservices. Through practical guidance and best practice recommendations, this book helps you understand why cloud native applications require a modern approach to security and observability practices and how to implement them.
Do you want to know how to secure and troubleshoot your cloud native applications? Or are you part of a group that wants to solve security and observability challenges before fully adopting Kubernetes in your organization? This book takes you through the full breadth of new cloud native approaches for establishing security and observability with Kubernetes. | |
Разместил: vitvikvas 14-04-2021, 06:50 | Комментарии: 0 | Подробнее
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 Название: Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets
Автор: Ed Elliott
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 269
Размер: 12.4 mb
Язык: English
Get started using Apache Spark via C# or F# and the .NET for Apache Spark bindings. This book is an introduction to both Apache Spark and the .NET bindings. Readers new to Apache Spark will get up to speed quickly using Spark for data processing tasks performed against large and very large datasets. You will learn how to combine your knowledge of .NET with Apache Spark to bring massive computing power to bear by distributed processing of extremely large datasets across multiple servers.
This book covers how to get a local instance of Apache Spark running on your developer machine and shows you how to create your first .NET program that uses the Microsoft .NET bindings for Apache Spark. Techniques shown in the book allow you to use Apache Spark to distribute your data processing tasks over multiple compute nodes. You will learn to process data using both batch mode and streaming mode so you can make the right choice depending on whether you are processing an existing dataset or are working against new records in micro-batches as they arrive. | |
Разместил: bomboane 14-04-2021, 00:52 | Комментарии: 0 | Подробнее
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 Название: Graph-Powered Analytics and Machine Learning with TigerGraph (Early Release)
Автор: Victor Lee, Xinyu Chang & Gaurav Deshpande
Издательство: O’Reilly Media
Год: 2021-04-12
Формат: epub/pdf(cov.)
Размер: 13.6 Mb
Язык: English
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available. | |
Разместил: bomboane 13-04-2021, 13:32 | Комментарии: 0 | Подробнее
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 Название: Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends
Автор: Khaled R. Ahmed, Aboul Ella Hassanien
Издательство: Springer
Год: 2021
Страниц: 264
Язык: английский
Формат: pdf (true), epub
Размер: 54.2 MB
This book contributes to the progress towards intelligent transportation. It emphasizes new data management and Machine Learning approaches such as Big Data, Deep Learning and reinforcement learning. Deep Learning and Big Data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on Machine Learning methods and traditional relational database. Therefore, this book includes recent research works on Big Data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. | |
Разместил: Ingvar16 13-04-2021, 12:55 | Комментарии: 0 | Подробнее
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