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 Название: Getting Started with Open Source Technologies: Applying Open Source Technologies with Projects and Real Use Cases
Автор: Sachin Rathee, Amol Chobe
Издательство: Apress
Год: 2022
Формат: True PDF, ePUB
Страниц: 204
Размер: 10 Mb
Язык: English
Using real life examples, learn how open source projects are consumed and explore the nuances within different industries in adopting open source technologies. After gaining a basic understanding of open source and open standards, understand how licensing helps turn community code into an enterprise worthy component. It also helps you understand future governance of the open source software. Once in effect, continuous security becomes a challenge for open source components so we'll examine its ongoing security aspects.
This book will also cover different open source domains and industries and discuss how an enterprise can transform itself by applying key open source principles. In the end Getting Started with Open Source Technologies will provide a 360-degree view of open source and show you how to apply it. | |
Разместил: vitvikvas 5-07-2022, 19:50 | Комментарии: 0 | Подробнее
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 Название: Machine Learning Theory to Applications
Автор: Seyedeh Leili Mirtaheri, Reza Shahbazian
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 212
Размер: 10 Mb
Язык: English
The book reviews core concepts of machine learning (ML) while focusing on modern applications. It is aimed at those who want to advance their understanding of ML by providing technical and practical insights. It does not use complicated mathematics to explain how to benefit from ML algorithms. Unlike the existing literature, this work provides the core concepts with emphasis on fresh ideas and real application scenarios. It starts with the basic concepts of ML and extends the concepts to the different deep learning algorithms. The book provides an introduction and main elements of evaluation tools with Python and walks you through the recent applications of ML in self-driving cars, cognitive decision making, communication networks, security, and signal processing. | |
Разместил: vitvikvas 5-07-2022, 18:12 | Комментарии: 0 | Подробнее
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Название: Основы программирования в Python: три в одном. Том 2
Автор: Таннинг Ж.Ф.
Издательство: Владимир: Владимирский государственный университет
Год: 2022
Формат: djvu
Страниц: 472
Размер: 29 mb
Язык: Русский, английский, французский
В книге описывается процесс программирования на языке Python c использованием практических примеров и упражнений. Цель пособия состоит в том, чтобы научиться программировать индивидуально в определенных научных областях: обработка файлов, анализ данных с помощью библиотеки Pandas и др. Обучающий материал пособия также дает возможность иностранным студентам освоить дисциплину, преодолевая языковой барьер. | |
Разместил: na5ballov 5-07-2022, 15:52 | Комментарии: 0 | Подробнее
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 Название: Effective Data Science Infrastructure: How to Make Data Scientists Productive
Автор: Ville Tuulos
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 353
Размер: 17,8 Mb
Язык: English
Effective Data Science Infrastructure is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data driven companies to manage their cutting edge data infrastructure. As you work through this easy-to-follow guide, you’ll set up end-to end infrastructure from the ground up, with a fully customizable process you can easily adapt to your company. You’ll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python. Throughout, you’ll follow a human-centric approach focused on user experience and meeting the unique needs of data scientists. | |
Разместил: vitvikvas 5-07-2022, 11:50 | Комментарии: 0 | Подробнее
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 Название: Как проектировать программы
Автор: Фелляйзен Маттиас, Флэтт Мэтью, Финдлер Роберт Брюс
Издательство: ДMK
Год: 2022
Формат: True PDF
Страниц: 726
Размер: 10,5 Mb
Язык: Русский
Цель этой книги – познакомить читателей с системным подходом к проектированию и сформировать у них правильные навыки программирования, которые предполагают пошаговое планирование и понимание рабочих задач на каждом этапе создания программы. В фокусе книги – общие принципы проектирования программ, поэтому используется не стандартный промышленный язык, а специализированный язык обучения Racket, а также среда программирования DrRacket, которая обеспечивает увлекательное обучение. Возможности среды растут по мере того, как читатель осваивает материал, – вплоть до поддержки полноценного языка, пригодного для решения всего спектра задач программирования. | |
Разместил: vitvikvas 5-07-2022, 06:14 | Комментарии: 0 | Подробнее
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Название: Random Matrix Methods for Machine Learning
Автор: Romain Couillet, Zhenyu Liao,
Издательство: Cambridge University Press
Год: 2022
Страниц: 411
Размер: 10,62 МБ
Формат: PDF
Язык: English
This book presents a unified theory of random matrices for applications in machine learning, offering a large-dimensional data vision that exploits concentration and universality phenomena. This enables a precise understanding, and possible improvements, of the core mechanisms at play in real-world machine learning algorithms. | |
Разместил: ak5812 4-07-2022, 20:25 | Комментарии: 0 | Подробнее
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 Название: Practical Machine Learning with Spark
Автор: Gourav Gupta, Dr. Manish Gupta, Dr. Inder Singh Gupta
Издательство: BPB Publications
Год: 2022
Формат: PDF
Страниц: 554
Размер: 18 Mb
Язык: English
This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark. | |
Разместил: vitvikvas 3-07-2022, 12:32 | Комментарии: 0 | Подробнее
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 Название: Network Programming in Python
Автор: John Galbraith
Издательство: BPB Publications
Год: 2022
Формат: PDF
Страниц: 544
Размер: 10 Mb
Язык: English
This book includes revisions for Python 3 as well as all of the classic topics covered, such as network protocols, network data and errors, email, server architecture, and HTTP and web applications. | |
Разместил: vitvikvas 3-07-2022, 12:01 | Комментарии: 0 | Подробнее
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 Название: Productive and Efficient Data Science with Python
Автор: Dr. Tirthajyoti Sarkar
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 395
Размер: 18,8 Mb
Язык: English
This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science stacks such as statistical analysis, visualization, model selection, and feature engineering.
You’ll review the inefficiencies and bottlenecks lurking in the daily business process and solve them with practical solutions. Automation of repetitive data science tasks is a key mindset that is promoted throughout the book. You’ll learn how to extend the existing coding practice to handle larger datasets with high efficiency with the help of advanced libraries and packages that already exist in the Python ecosystem.
The book focuses on topics such as how to measure the memory footprint and execution speed of machine learning models, quality test a data science pipelines, and modularizing a data science pipeline for app development. You’ll review Python libraries which come in very handy for automating and speeding up the day-to-day tasks. | |
Разместил: vitvikvas 2-07-2022, 14:44 | Комментарии: 0 | Подробнее
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 Название: Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist 2nd Edition
Автор: Thomas Mailund
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 528
Размер: 11 Mb
Язык: English
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.
Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this.
Modern data analysis requires computational skills and usually a minimum of programming. After reading and using this book, you'll have what you need to get started with R programming with data science applications. Source code will be available to support your next projects as well. | |
Разместил: vitvikvas 1-07-2022, 18:39 | Комментарии: 0 | Подробнее
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