Название: PowerShell Troubleshooting Guide: Techniques, strategies and solutions across scripting, automation, remoting, and system administration
Автор: Steeve Lee
Издательство: GitforGits
Год: 2024
Страниц: 232
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.0 MB

This book is superior, teaching administrators and developers to automate, optimize, and innovate using PowerShell. The book covers debugging, creating efficient loops, error handling, and the complexities of remote network management. You will learn to engage, code, experiment, and learn from real-world circumstances throughout this book. A practical handbook, "PowerShell Troubleshooting Guide" is designed to help PowerShell enthusiasts improve their skills and make them more effective in real-world applications. Starting with basic scripting and progressing to comprehensive system expertise, the book explores the immense possibilities of PowerShell. One of the most powerful entities that can be found in the enormous universe of computer languages and technologies is called PowerShell. To the uninformed, PowerShell may appear to be just another scripting language, but for those that dig deeper, it reveals itself to be a potent nexus between coding and systems administration. This is more than a tool; it's a force with the ability to weave automation magic in the heart of the Windows environment.

Название: Prescriptive Analytics: Prescribe with Python: The Definitive Prescriptive Analytics Python Guide
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2023
Страниц: 271
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Harness the Power of Python to Make Optimal Decisions! 'Prescriptive Analytics: Prescribe with Python Programming' is the quintessential manual for professionals and enthusiasts eager to dive into the world of data-driven decision-making. This transformative text guides readers through the intricate landscape of Prescriptive Analytics using the versatility and accessibility of Python programming. Employing the power of Python, a language known for its simplicity and robust library ecosystem, prescriptive analytics transforms complex data into actionable insights. Python's libraries such as Pandas for data manipulation, NumPy for numerical computing, and SciPy for scientific computing create a powerful platform for developing prescriptive models. When combined with machine learning libraries like scikit-learn or TensorFlow, Python becomes an alchemist's stone, turning the lead of raw data into the gold of prescriptive wisdom. In the chapters that follow, we will delve into the Pythonic techniques that enable prescriptive analytics to thrive. Together, we will embark on an intellectual adventure to unravel the mysteries of data and harness its power to not only anticipate the future but also to sculpt it.

Название: Python Machine Learning A Beginner's Guide to Scikit-Learn: A Hands-On Approach
Автор: Rajender Kumar
Издательство: Jamba Academy
Год: 2023
Страниц: 623
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Are you ready to dive into the world of Python Machine Learning? Look no further! "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is the perfect guide for you. Written by experienced data scientist, Rajender Kumar, this book takes you on a journey through the basics of Machine Learning and the powerful Scikit-learn library. See how Machine Learning is being used to solve problems in industries such as healthcare, finance and more. The book "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is a comprehensive guide for Machine Learning and Deep Learning concepts using Python. It covers various Machine Learning algorithms and Leep Learning architectures along with hands-on examples to get a better understanding of the concepts. This book is perfect for beginners who are new to Machine Learning and want to learn Scikit-Learn from scratch. It is also ideal for intermediate and advanced users who want to expand their knowledge and build more complex models. The code provided on the Github repository can be downloaded and used freely by readers. The notebooks are organized according to the chapters in the book, making it easier for readers to find the relevant code for each concept.

Название: An Introduction to Image Classification: From Designed Models to End-to-End Learning
Автор: Klaus D. Toennies
Издательство: Springer
Год: 2024
Страниц: 297
Язык: английский
Формат: pdf (true), epub
Размер: 69.6 MB

Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve feature extraction and classification in feature space. Current state-of-the-art methods utilize end-to-end learning with Deep Neural Networks, where feature extraction and classification are integrated into the model. Understanding traditional image classification is important because many of its design concepts directly correspond to components of a neural network. This knowledge can help demystify the behavior of these networks, which may seem opaque at first sight. The book starts from introducing methods for model-driven feature extraction and classification, including basic Computer Vision techniques for extracting high-level semantics from images. The topic of image classification is presented as a thoroughly curated sequence of steps that gradually increase understanding of the working of a fully trainable classifier. Practical exercises in Python/Keras/Tensorflow have been designed to allow for experimental exploration of these concepts. In each chapter, suitable functions from Python modules are briefly introduced to provide students with the necessary tools to conduct these experiments.

Название: Data Structures and Algorithms with Python: With an Introduction to Multiprocessing, 2nd Edition 2024 Edition
Автор: Kent D. Lee, Steve Hubbard
Издательство: Springer
Год: 2024
Страниц: 400
Язык: английский
Формат: pdf (true), epub
Размер: 71.3 MB

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms—supported by motivating examples—that bring meaning to the problems faced by computer programmers. The idea of computational complexity is introduced, demonstrating what can and cannot be computed efficiently at scale, helping programmers make informed judgements about the algorithms they use. A number of algorithms are introduced, and the need for them is motivated through examples that bring meaning to the problems we face as computer programmers. An algorithm is a well-defined procedure for accomplishing a task. Algorithms are an important part of Computer Science, and this text explores many algorithms to give you the background you need when writing programs of your own. The goal is that having seen some of the sorts of algorithms presented in this text, you will be able to apply these techniques to other programs you write in the future. The easy-to-read text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python.

Название: The Python Book - 17th Edition, 2024
Автор: Jon White (Editor)
Издательство: Future Publishing
Год: 2024
Страниц: 180
Язык: английский
Формат: pdf
Размер: 87.8 MB

Python - это невероятно универсальный, обширный язык, который благодаря своей схожести с повседневным английским языком, удивительно прост в изучении даже для неопытных программистов. Его популярность значительно возросла после выпуска и распространения Raspberry Pi, для которого Python является официально признанным языком программирования. В этом новом издании Python Book вы найдете множество творческих проектов, которые помогут вам освоить сочетание Raspberry Pi и мощного языка Python, а также множество уроков, посвященных использованию Python вне этого крошечного компьютера. Вы узнаете все о том, как писать на Python с самого начала, благодаря нашему всеобъемлющему мастер-классу, а затем перейдете к полным учебным пособиям, которые закрепят ваши навыки и помогут вам свободно владеть языком. Вы узнаете, как заставить Python работать на вас, благодаря учебным пособиям по программированию с Django, Flask, Pygame и другими полезными сторонними фреймворками. Приготовьтесь стать настоящим экспертом в области Python благодаря огромному количеству информации, содержащейся на этих страницах.

Название: Python for Beginners - 17th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 94
Язык: английский
Формат: pdf
Размер: 41.7 MB

Руководство "Начало работы с Python" научит вас основам Python, чтобы вы могли сразу же приступить к программированию! Это руководство по программированию на Python охватывает все, начиная с базового синтаксиса и заканчивая реализацией алгоритмов и структур данных. Оно научит вас писать базовые функции и выполнять алгоритмические задачи с помощью языка программирования. Примеры просты и полны, и вы сможете опираться на них, чтобы углубить свое понимание языка. В книге не рассматриваются продвинутые техники, но обсуждаются интересные расширения возможностей Python, такие как модули. Являясь введением в язык программирования Python, эта книга также охватывает все темы, необходимые для начала работы с Python, включая синтаксис, переменные, функции, модули и циклы.

Название: Edge Computational Intelligence for AI-Enabled IoT Systems
Автор: Shrikaant Kulkarni, Jaiprakash Narain Dwivedi, Dinda Pramanta
Издательство: CRC Press
Серия: Advances in Computational Collective Intelligence
Год: 2024
Страниц: 347
Язык: английский
Формат: pdf (true)
Размер: 33.7 MB

Edge computational intelligence is an interface between Edge Computing and Artificial Intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling a broad application areas and customer-friendly solutions. Edge computational intelligence technologies are just in their infancy. Edge Computational Intelligence for AI-Enabled IoT Systems looks at the trends and advances in edge computing and edge AI, the services rendered by them, related security and privacy issues, training algorithms, architectures, and sustainable AI-enabled IoT systems. Together, these technologies benefit from ultra-low latency, faster response times, lower bandwidth costs and resilience from network failure, and the book explains the advantages of systems and applications using intelligent IoT devices that are at the edge of a network and close to users. It explains how to make most of edge and cloud computing as complementary technologies or used in isolation for extensive and widespread applications. The advancement in IoT devices, networking facilities, parallel computation and 5G, and robust infrastructure for generalized machine learning have made it possible to employ edge computational intelligence in diverse areas and in diverse ways.

Название: Generative Artificial Intelligence: What Everyone Needs to Know
Автор: Jerry Kaplan
Издательство: Oxford University Press
Год: 2024
Страниц: 241
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers. Over the past few years, rapid advances in Machine Learning have created a new subfield of Artificial Intelligence: Generative AI. These programs produce novel text, images, music, and software by analyzing enormous collections of digitized material. The first wave of GAIs are primarily focused on engaging in natural language conversation. Called “Large Language Models” (LLMs), they already exhibit astonishing proficiency on a wide variety of tasks with superhuman performance—​as well as a disturbing inclination for falsehood, illogic, and expressions of ersatz emotion, such as declaring their love for interlocutors. They chat with users in plain language and solve a broad range of complex problems with ease. Soon, LLMs will provide expert medical care, dispense legal advice, draft our documents, tutor our children, offer advice, conduct therapy, write computer programs, and manage our organizations and infrastructure. A related class of GAIs generate visual images from simple descriptions that are virtually indistinguishable from human artwork or photographs.

Название: Learning Java: An Introduction to Real-World Programming with Java, 6th Edition (Final)
Автор: Marc Loy, Patrick Niemeyer, Daniel Leuck
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 552
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.8 MB, 10.2 MB

Ideal for working programmers new to Java, this best-selling book guides you through the language features and APIs of Java 21. Through fun, compelling, and realistic examples, authors Marc Loy, Patrick Niemeyer, and Dan Leuck introduce you to Java's fundamentals, including its class libraries, programming techniques, and idioms, with an eye toward building real applications. This updated sixth edition expands the content to continue covering lambdas and streams, and shows you how to use a functional paradigm in Java. You'll learn about the latest Java features introduced since the book's fifth edition, from JDK 15 through 21. You'll also take a deep dive into virtual threads (introduced as Project Loom in Java 19). This book introduces the Java programming language and environment. Whether you are a software developer or just someone who uses the internet in your daily life, you’ve undoubtedly heard about Java. Its arrival was one of the most exciting developments in the history of the web, and Java applications continue to power business on the internet. Java is, arguably, the most popular programming language in the world, used by millions of developers on almost every kind of computer imaginable.