Название: Model-Based Clustering, Classification, and Density Estimation Using mclust in R
Автор: Luca Scrucca, Chris Fraley, T. Brendan Murphy
Издательство: CRC Press
Серия: The R Series
Год: 2023
Страниц: 269
Язык: английский
Формат: pdf (true)
Размер: 28.26 MB

Model-based clustering and classification methods provide a systematic statistical modeling framework for cluster analysis and classification. The model-based approach has gained in popularity because it allows the problems of choosing or developing an appropriate clustering or classification method to be understood within the context of statistical modeling. Mclust is a widely-used software package for the statistical environment R. It provides functionality for model-based clustering, classification, and density estimation, including methods for summarizing and visualizing the estimated models. This book aims at giving a detailed overview of mclust and its features. A description of the modeling underpinning the software is provided, along with examples of its usage. In addition to serving as a reference manual for mclust, the book will be particularly useful to readers who plan to employ these model-based techniques in their research or applications. The companion website for this book contains the R code to reproduce the examples and figures presented in the book, errata and various supplementary material.

Название: Deep Learning: Handbook of Statistics, Volume 48
Автор: Venu Govindaraju, Arni S.R. Srinivasa Rao, C.R. Rao
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 270
Язык: английский
Формат: pdf (true)
Размер: 51.8 MB

Deep Learning, Volume 48 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Generative Adversarial Networks for Biometric Synthesis, Data Science and Pattern Recognition, Facial Data Analysis, Deep Learning in Electronics, Pattern Recognition, Computer Vision and Image Processing, Mechanical Systems, Crop Technology and Weather, Manipulating Faces for Identity Theft via Morphing and Deepfake, Biomedical Engineering, and more.

Автор: Мартузан Б. Я.
Название: Как Петя Бейсиков Тоню Соображалкину программировать учил
Издательство:Рига: Зинатне
Год: 1987
Страниц: 238
Формат: DJVU, PDF
Размер: 10 МБ
В книге в занимательной форме излагаются основные идеи программирования. В основу излагаемого положен язык Бейсик, широко применяемый для программирования на мини-и микро-ЭВМ. Сведений, которые приводятся в книге, достаточно для освоения практического программирования. На примерах небольших программ обработки данных, программ обучения и других дается представление об основных областях применения ЭВМ. Для учеников среднего и старшего школьного возраста, а также для специалистов, желающих использовать ЭВМ в своей практической деятельности.

Название: Amazon Web Services in Action: An in-depth guide to AWS, 3rd Edition (Final)
Автор: Andreas Wittig, Michael Wittig
Издательство: Manning Publications
Год: 2023
Страниц: 554
Язык: английский
Формат: pdf (true)
Размер: 31.3 MB

This bestselling guide reveals best practices for security, high availability, and scalability on AWS, the world’s most popular cloud. It’s packed with techniques for automating your deployment, management, and even your infrastructure using Infrastructure as Code. Amazon Web Services in Action: An in-depth guide to AWS has helped thousands of developers succeed with the AWS cloud. This hands-on guide gives a complete introduction to computing, storage, and networking, along with best practices for all core AWS services. Amazon Web Services in Action, Third Edition: An in-depth guide to AWS is a comprehensive introduction to everything AWS. This revised edition covers all the core services in clear, plain language, including services such as AWS Lambda and CloudFormation.

Название: Practical Automation with PowerShell: Effective scripting from the console to the cloud (Final)
Автор: Matthew Dowst
Издательство: Manning Publications
Год: 2023
Страниц: 417
Язык: английский
Формат: pdf (true)
Размер: 13.9 MB

Take PowerShell beyond simple scripts and build time-saving automations for your team, your users, and the world. Practical Automation in PowerShell reveals how you can use PowerShell to build automation solutions for a huge number of common admin and DevOps tasks. Author Matthew Dowst uses his decades of experience to lay out a real blueprint for setting up an enterprise scripting environment with PowerShell. The book goes beyond the basics to show you how to handle the unforeseen complexities that can keep automations from becoming reusable and resilient. From the console to the cloud, you'll learn how to manage your code, avoid common pitfalls, and create sharable automations that are adaptable to different use cases. Practical Automation with PowerShell: Effective scripting from the console to the cloud shows you how to build PowerShell automations for local and cloud systems. In it, you’ll find tips for identifying automatable tasks, techniques for structuring and managing scripts, and lots of well-explained example code.

Название: Natural Language Processing in Action, Second Edition (MEAP v8)
Автор: Hobson Lane, Maria Dyshel
Издательство: Manning Publications
Год: 2023
Страниц: 406
Язык: английский
Формат: pdf (true)
Размер: 26.6 MB

Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks. Natural Language Processing in Action has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you’ll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools. Natural Language Processing in Action, Second Edition is your guide to building software that can read and interpret human language. This new edition is updated to include the latest Python packages and comes with full coverage of cutting-edge models like BERT, GPT-J and HuggingFace transformers.

Название: 100 Java Mistakes and How to Avoid Them (MEAP v1)
Автор: Tagir Valeev
Издательство: Manning Publications
Год: 2023
Страниц: 118
Язык: английский
Формат: pdf (true)
Размер: 35.0 MB

Dodge the common mistakes that even senior developers make, take full advantage of static analysis tools, and deliver robust and error-free Java code. Whenever you make a mistake writing Java, it’s almost guaranteed that someone else has made it before! In 100 Java Mistakes and How To Avoid Them you’ll learn about the common and the not-so-common antipatterns, errors, and tricky bits that trip up almost every Java developer. Discover the bugs that are hiding in your Java code, and explore useful and effective ways to dodge them—from unit tests and defensive coding to static analysis tools like IntelliJ IDEA, SonarLint, and Error Prone.

Название: The Complete C++ & Python Manual - 14th Edition 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Страниц: 148
Язык: английский
Формат: pdf
Размер: 53.5 MB

Изучайте основы Python и C++ и расширяйте свои навыки! Высококачественный справочник, содержащий подробные руководства от команды экспертов. Изучайте Python и применяйте его в реальных программах. Начните изучать основы C++ и лучшие советы по работе с кодом. Python и C++ - два самых мощных и многофункциональных языка программирования. Умение понимать и использовать любой из них позволит вам лучше понять современные технологии и то, как они взаимодействуют с нами и окружающей средой.

Название: Numerical Brain Teasers: Exercise Your Mind
Автор: Erica Sadun
Издательство: Pragmatic Bookshelf
Год: January 2023 (Version: P1.0)
Страниц: 334
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Challenge your brain with math! Using nothing more than basic arithmetic and logic, you'll be thrilled as answers slot into place. Whether purely for fun or to test your knowledge, you'll sharpen your problem-solving skills and flex your mental muscles. All you need is logical thought, a little patience, and a clear mind. There are no gotchas here. These puzzles are the perfect introduction to or refresher for math concepts you may have only just learned or long since forgotten. Get ready to have more fun with numbers than you've ever had before. Engage your analytical side with these numerical brain teasers. Math and logic puzzles help you stretch your mind to think in new ways. They flex your lateral thinking as you work through fresh problem styles. Each puzzle type comes with an explanation, a method for solving them, and solutions if you get stuck. This puzzle comes straight from my time in grad school. It was a challenge in an algorithms class where you study how to compute answers. Each approach can take more or less time to finish. They also occupy different computer resources. These are important lessons to learn before working as a programmer. Classic problems like these help students understand how to make programs efficient. They’re also fun on their own.

Название: Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Автор: Aneesh Sreevallabh Chivukula, Xinghao Yang, Bo Liu
Издательство: Springer
Год: 2023
Страниц: 314
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

A critical challenge in Deep Learning is the vulnerability of Deep Learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of Deep Learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial Deep Learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.