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 Название: Coding Art: A Guide to Unlocking Your Creativity with the Processing Language and p5.js in Four Simple Steps, Second Edition
Автор: Mathias Funk, Yu Zhang
Издательство: Apress
Год: 2024
Страниц: 342
Язык: английский
Формат: pdf, epub
Размер: 11.9 MB
Finally, a book on creative programming, written directly for artists and designers! This second edition offers expanded and updated content incorporating the latest advancements and trends in the field of creative programming, also for creatives who want to work directly with P5.js and online. It delves deeper into the intricacies of computational art. It includes fresh case studies that explore real-world applications of coding art, inspiring readers to think beyond traditional boundaries. Rather than following a computer science curriculum, this book is aimed at creatives who are working in the intersection of design, art, and education. Following a real-world use case of computation art, you'll see how it relates back to the four key pillars, and addresses potential pitfalls and challenges in the creative process. All code examples are presented in a fully integrated Processing example library, making it easy for readers to get started. This unique and finely balanced approach between skill acquisition and development makes Coding Art, Second Edition the ideal reference book for both creative programming and the creative process for professors and students alike. Processing and p5.js are not only versatile frameworks internally (with all included functionality). With these platforms, you can reach into a vast ecosystem of functions implemented in languages like Java, Groovy, Scala, Kotlin, and Clojure (for Processing) and jаvascript for p5.js. | |
Разместил: Ingvar16 18-11-2023, 15:05 | Комментарии: 0 | Подробнее
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 Название: Google Cloud Platform for Data Science: A Crash Course on Big Data, Machine Learning, and Data Analytics Services
Автор: Shitalkumar R. Sukhdeve, Sandika S. Sukhdeve
Издательство: Apress
Год: 2024
Страниц: 231
Язык: английский
Формат: pdf
Размер: 10.2 MB
This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for Data Science, using only the free tier services offered by the platform. Data Science and Machine Learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of Data Science services that can be used to store, process, and analyze large datasets, and train and deploy Machine Learning models. The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics. Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for Data Science and Big Data projects. Readers will learn how to set up a Google Colaboratory account and run Jupyter notebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy Machine Learning models using Vertex AI. For Data scientists, machine learning engineers, and analysts who want to learn how to use Google Cloud Platform (GCP) for their Data Science and Big Data projects. | |
Разместил: Ingvar16 18-11-2023, 06:37 | Комментарии: 0 | Подробнее
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 Название: Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python 2nd Edition
Автор: Shamshad Ansari
Издательство: Apress
Год: 2023
Страниц: 541
Язык: английский
Формат: pdf
Размер: 18.6 MB
Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition’s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you’ll gain a thorough understanding of them. The book’s source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Those who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students. | |
Разместил: Ingvar16 18-11-2023, 05:51 | Комментарии: 0 | Подробнее
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 Название: C++ & Python & Tricks and Tips - 16th Edition, 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Язык: английский
Формат: pdf
Размер: 40.8 MB
Эта книга "Советы и рекомендации по C++ и Python" - первый и единственный выбор для начинающих, чтобы узнать все, что им нужно знать о кодировании и программировании. В этом отдельном руководстве собраны полезные советы и пошаговые иллюстрированные учебные пособия, написанные на понятном английском языке. В этом новом руководстве вы узнаете все необходимое для создания собственных потрясающих приложений. С этим неофициальным руководством у вас не останется нерешенных проблем и вопросов, когда речь идет об изучении, освоении и совершенствовании навыков программирования. | |
Разместил: Ingvar16 18-11-2023, 04:51 | Комментарии: 0 | Подробнее
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 Название: Raspberry Pi OS System Administration with systemd and Python: A Practical Approach
Автор: Robert M. Koretsky
Издательство: CRC Press
Год: 2024
Страниц: 333
Язык: английский
Формат: pdf (true), epub
Размер: 10.3 MB
The second in a new series exploring the basics of Raspberry Pi Operating System administration, this installment builds on the insights provided in Volume 1 to provide a compendium of easy-to-use and essential Raspberry Pi OS system administration for the novice user, with specific focus on Python and Python3. The overriding idea behind system administration of a modern, 21st-century Linux system such as the Raspberry Pi OS is the use of systemd to ensure that the Linux kernel works efficiently and effectively to provide these three foundation stones of computer operation and management: computer system concurrency, virtualization, and secure persistence. Exercises are included throughout to reinforce the readers’ learning goals with solutions and example code provided on the accompanying GitHub site. In the Chapter 2, we give a broad introduction to the Python programming language, using Python version 3. For the beginner Python3 programmer, we illustrate all of its important programming capabilities and syntactic structures, in the context of the three predominant computer programming paradigms: virtualization, concurrency, and persistence. | |
Разместил: Ingvar16 17-11-2023, 21:59 | Комментарии: 0 | Подробнее
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 Название: Graph Neural Networks in Action (MEAP v8)
Автор: Keita Broadwater
Издательство: Manning Publications
Год: 2023
Страниц: 404
Язык: английский
Формат: epub
Размер: 32.6 MB
A hands-on guide to powerful graph-based Deep Learning models! Learn how to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and more. Graph Neural Networks in Action teaches you to create powerful Deep Learning models for working with graph data. You’ll learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Inside this practical guide, you’ll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. Graph neural networks expand the capabilities of Deep Learning beyond traditional tabular data, text, and images. This exciting new approach brings the amazing capabilities of deep learning to graph data structures, opening up new possibilities for everything from recommendation engines to pharmaceutical research. For Python programmers familiar with Machine Learning and the basics of Deep Learning. | |
Разместил: Ingvar16 17-11-2023, 21:34 | Комментарии: 0 | Подробнее
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 Название: Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata
Автор: Giovanni Cerulli
Издательство: Springer
Год: 2023
Страниц: 416
Язык: английский
Формат: pdf (true), epub
Размер: 63.8 MB
This book presents the fundamental theoretical notions of supervised Machine Learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness of the availability of Machine Learning methods over different software platforms. After introducing the Machine Learning basics, the focus turns to a broad spectrum of topics: model selection and regularization, discriminant analysis, nearest neighbors, support vector machines, tree modeling, artificial neural networks, Deep Learning, and sentiment analysis. Each chapter is self-contained and comprises an initial theoretical part, where the basics of the methodologies are explained, followed by an applicative part, where the methods are applied to real-world datasets. Numerous examples are included and, for ease of reproducibility, the Python, R, and Stata codes used in the text, along with the related datasets, are available online. | |
Разместил: Ingvar16 17-11-2023, 07:48 | Комментарии: 0 | Подробнее
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 Название: Become A Ninja With Angular (v17.0.0)
Автор: Ninja Squad
Издательство: Ninja Squad
Год: 2023-11-08
Страниц: 346
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB
Книга "Стань ниндзя с Angular" поможет программистам понять философию Angular на практике (в настоящее время 17.0.2), новые инструменты (такие как ES2015, TypeScript, SystemJS, Webpack, Angular CLI ...) и каждую часть инфраструктуры. К концу чтения данного руководства вы сможете начать свой проект и создавать свои удивительные приложения! | |
Разместил: Ingvar16 16-11-2023, 23:35 | Комментарии: 0 | Подробнее
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 Название: Kubernetes Cookbook: Building Cloud Native Applications, 2nd Edition (Final)
Автор: Sameer Naik, Sébastien Goasguen, Jonathan Michaux
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 301
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB
Kubernetes is the de facto standard for container orchestration and distributed applications management across a microservices framework. With this practical cookbook, you'll learn hands-on Kubernetes recipes for automating the deployment, scaling, and operations of application containers across clusters of hosts. In this fully updated second edition, Sameer Naik, Sébastien Goasguen, and Jonathan Michaux from TriggerMesh provide a problem-solution-discussion format with easy lookups to help you find the detailed answers you need—fast. Kubernetes lets you deploy your applications quickly and predictably, so you can efficiently respond to customer demand. This cookbook delivers the essential knowledge that developers and system administrators need to get there. With this book, we want to help you solve concrete problems around Kubernetes. We’ve compiled more than 100 recipes covering topics such as setting up a cluster, managing containerized workloads using Kubernetes API objects, using storage primitives, configuring security, and plenty more. This book was written for anyone who belongs somewhere in the DevOps spectrum. You might be an application developer who is required to occasionally interact with Kubernetes, or a platform engineer creating reusable solutions for other engineers in your organization, or anywhere in between. This book will help you navigate your way successfully through the Kubernetes jungle, from development to production. | |
Разместил: Ingvar16 16-11-2023, 22:44 | Комментарии: 0 | Подробнее
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 Название: Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications
Автор: Chris Fregly, Antje Barth, Shelbee Eigenbrode
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 309
Язык: английский
Формат: epub (true)
Размер: 42.1 MB
Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. A basic understanding of Python and deep learning frameworks such as TensorFlow or PyTorch should be sufficient to understand the code samples used throughout the book. Familiarity with AWS is not required to learn the concepts, but it is useful for some of the AWS-specific samples. | |
Разместил: Ingvar16 16-11-2023, 21:16 | Комментарии: 0 | Подробнее
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