Название: Managing Cloud Native Data on Kubernetes
Автор: Jeff Carpenter and Patrick McFadin
Издательство: O’Reilly Media
Год: 2022-07-08: Sixth release
Формат: ePUB
Размер: 10 Mb
Язык: English

Kubernetes has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help.

Название: An Introductory Guide to R: Easing the Learning Curve
Автор: Eric L. Einspruch
Издательство: The Guilford Press
Год: 2022
Формат: True PDF
Страниц: 211
Размер: 10 Mb
Язык: English

A friendly, straightforward guide that does not assume knowledge of programming, this book helps new R users hit the ground running. Eric L. Einspruch provides an overview of the software and shows how to download and install R, RStudio, and R packages. Featuring example code, screenshots, tips, learning exercises, and worked-through examples of statistical techniques, the book demonstrates the capabilities and nuances of these powerful free statistical analysis and data visualization tools. Fundamental aspects of data wrangling, analysis, visualization, and reporting are introduced, using both Base R and Tidyverse approaches. Einspruch emphasizes processes that support research reproducibility, such as use of comments to document R code and use of R Markdown capabilities. The book also helps readers navigate the vast array of R resources available to further develop their skills.

Название: Knowledge-Guided Machine Learning: Accelerating Discovery Using Scientific Knowledge and Data
Автор: Edited by Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar
Издательство: CRC Press
Год: 2023
Страниц: 442
Размер: 91.33 МБ
Формат: PDF
Язык: English

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios.

Название: Data Structures & Algorithms in Python
Автор: John Canning, Alan Broder, Robert Lafore
Издательство: Pearson Education
Год: 2023
Формат: PDF
Страниц: 800
Размер: 26,4 Mb
Язык: English

This practical introduction to data structures and algorithms can help every programmer who wants to write more efficient software. Building on Robert Lefore's legendary Java-based guide, this book helps you understand exactly how data structures and algorithms operate. You'll learn how to efficiently apply them with the enormously popular Python language and scale your code to handle today's big data challenges.

Название: The PowerShell Scripting and Toolmaking Book, Forever Edition
Автор: Don Jones and Jeff Hicks
Издательство: Lean Publishing
Год: 2022-01-29
Страниц: 548
Размер: 10.13 МБ
Формат: PDF
Язык: English

Veteran PowerShell experts and authors Don Jones and Jeffery Hicks bring you an all-new, "Agile-published" book on PowerShell Scripting and "Toolmaking." Written in their inimitable, approachable style with plenty of examples, this book focuses on an all-new narrative based on their teaching experiences since 2010. You'll not only learn "how to script" in PowerShell, you'll learn the far more important patterns and practices that will enable you to create reusable tools that look and work like native PowerShell commands.

Название: Глубокое обучение с fastai и PyTorch. Минимум формул, минимум кода, максимум эффективности
Автор: Гуггер Сильвейн, Ховард Джереми
Издательство: Питep
Год: 2022
Формат: True PDF
Страниц: 624
Размер: 11 Mb
Язык: Русский

Обычно на глубокое обучение смотрят с ужасом, считая, что только доктор математических наук или ботан, работающий в крутой айтишной корпорации, могут разобраться в этой теме. Отбросьте стереотипы: любой программист, знакомый с Python, может добиться впечатляющих результатов. Как? С помощью fastai - библиотеки, предоставляющей комфортный интерфейс для решения наиболее популярных задач.

Название: Microsoft Azure AI: A Beginner’s Guide: Explore Azure Applied AI Services, Azure Cognitive Services and Azure Machine Learning
Автор: Rekha Kodali, Sankara Narayanan Govindarajulu, Mohammed Athaulla
Издательство: BPB Publications
Год: 2022
Формат: PDF
Страниц: 271
Размер: 10 Mb
Язык: English

Explore Azure AI Platform
Key Features
Easy-to-follow tutorial for getting started with the Azure AI platform.
Integrated platform for developing, deploying, and managing AI apps.
Includes real-world scenarios and use-cases to fully explore Azure AI Platform.

Название: Pandas in 7 Days: Utilize Python to Manipulate Data, Conduct Scientific Computing, Time Series Analysis
Автор: Fabio Nelli
Издательство: BPB Publications
Год: 2022
Формат: PDF
Страниц: 441
Размер: 10 Mb
Язык: English

Make data analysis fast, reliable, and clean with Python, Pandas and Matplotlib.
Key Features
A detailed walk-through of the Pandas library's features with multiple examples.
Numerous graphical representations and reporting capabilities using popular Matplotlib.
A high-level overview of extracting data from including files, databases, and the web.

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.

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.