Название: Kubernetes and Cloud Native Associate (KCNA) Exam Guide: KCNA concepts featuring orchestration, architecture, observability, and application delivery
Автор: Sangram Rath
Издательство: BPB Publications
Год: 2025
Страниц: 252
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

"Kubernetes and Cloud-Native Associate (KCNA) Exam Guide" is a comprehensive introductory guide for anyone looking to prepare for the KCNA exam or to simply get started with Kubernetes and cloud-native. It will provide readers with the necessary fundamental knowledge to understand the Cloud Native Computing Foundation (CNCF) ecosystem, especially Kubernetes. The book covers all the exam objectives and much more. The book includes prerequisite chapters for a better understanding of Kubernetes and cloud-native, core chapters based on the domains and competencies of the exam, and a couple of hands-on chapters. Readers will learn about containers, microservices, container orchestration, the internals of Kubernetes, container orchestration in Kubernetes, cloud-native architecture, observability, application delivery, and much more. Each chapter also includes practice questions at the end. Additionally, through hands-on exercises, readers will gain practical experience on Dockers and Kubernetes. Throughout the book, readers will learn about various cloud-native tools and technologies.

Название: Mastering New Age Computer Vision: Advanced techniques in computer vision object detection, segmentation, and Deep Learning
Автор: Zonunfeli Ralte
Издательство: BPB Publications
Год: 2025
Страниц: 426
Язык: английский
Формат: epub (true)
Размер: 11.8 MB

Mastering New Age Computer Vision is a comprehensive guide that explores the latest advancements in computer vision, a field that is enabling machines to not only see but also understand and interpret the visual world in increasingly sophisticated ways, guiding you from foundational concepts to practical applications. This book explores cutting-edge computer vision techniques, starting with zero-shot and few-shot learning, DETR, and DINO for object detection. It covers advanced segmentation models like Segment Anything and Vision Transformers, along with YOLO and CLIP. Using PyTorch, readers will learn image regression, multi-task learning, multi-instance learning, and deep metric learning. Hands-on coding examples, dataset preparation, and optimization techniques help apply these methods in real-world scenarios. This book is for data scientists, AI practitioners, and researchers with a basic understanding of Python programming and ML concepts. Familiarity with deep learning frameworks like PyTorch and foundational knowledge of computer vision will help readers fully grasp the advanced techniques discussed.

Название: Natural Language Processing Cookbook: Step-by-step practical solution for unlocking the power of natural language processing potential
Автор: Rosario Moscato, Alessio Ligios, Corrado Silvestri
Издательство: BPB Publications
Год: 2025
Страниц: 404
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Natural language processing (NLP) is revolutionizing how machines understand and interact with human language, creating powerful applications from chatbots to text analytics. This provides a practical, hands-on approach to mastering these technologies, making complex NLP concepts accessible through step-by-step recipes and real-world examples. This book walks you through the world of teaching computers to understand human language, starting with the basics and building up to advanced techniques. You will learn how to break down text into meaningful pieces, use Python programming to handle text data, and clean up messy text for analysis. The book shows you how computers can understand the meaning behind words using methods like word embeddings and BERT. You will discover how to identify parts of speech and recognize names of people and places in text, and how to sort text into different categories using ML. Advanced topics include finding hidden themes in document collections, building chatbots that can have conversations, and creating visual representations of text data. Throughout the book, practical Python examples help you implement these techniques while considering how to evaluate and deploy real-world NLP systems.

Название: Generative AI with Kubernetes: Implementing secure and observable AI infrastructure to deliver reliable AI applications
Автор: Jonathan Baier
Издательство: BPB Publications
Год: 2025
Страниц: 284
Язык: английский
Формат: epub (true)
Размер: 11.5 MB

Over the past few years, we have seen leaps and strides in ML and most recently generative AI. Companies and software teams are rushing to enhance, rebuild, and create new software offerings with this new intelligence. As they innovate and create delightful new experiences for their customers new challenges arise. Understanding how these applications work and how to use state-of-the-art infrastructure tools like Kubernetes will help organizations and professionals succeed with this new technology. The book covers essential technical implementations from ML fundamentals through advanced deployment strategies, focusing on practical patterns. Core topics include Kubernetes-native GPU scheduling and resource management, MLOps pipeline architectures using Kubeflow/MLflow, and advanced model serving patterns. It details data management architectures, vector databases, and RAG systems, alongside monitoring solutions with Prometheus/Grafana. Finally, we will look at some advanced concerns for production in the realm of security and data reliability.

Название: Statistics with R for Machine Learning: Vol. 1-2
Автор: Mohsen Nady
Издательство: Arcler Press
Год: 2025
Страниц: 298+188
Язык: английский
Формат: pdf (true)
Размер: 17.0 MB

Data preparation is the foundation of any successful Machine Learning project. This volume provides a comprehensive guide to cleaning, transforming, and splitting data for Machine Learning using R, including handling missing values, feature scaling, and stratified sampling. Practical examples and R code demonstrate how to optimize datasets for predictive modeling. The volume is essential for data scientists and Machine Learning practitioners seeking to build robust models. Resampling techniques are key to improving model performance and reliability in Machine Learning. This volume explores advanced resampling methods, including cross-validation, bootstrapping, and hyperparameter tuning, using R. Readers will learn how to apply these techniques to optimize model accuracy and prevent overfitting. Practical examples and case studies illustrate their real-world applications. This voulme is an essential resource for data scientists and Machine Learning enthusiasts aiming to master resampling strategies.

Название: Mastering Flutter: Learn to develop Flutter apps for iOS, Android, desktop and web
Автор: Kevin Moore
Издательство: BPB Publications
Год: 2025
Страниц: 210
Язык: английский
Формат: epub (true)
Размер: 19.2 MB

Mastering Flutter is ideal for the developer at the beginner level as well as the developer who wants to switch to Flutter. This book starts at the beginner level so that you know everything you need to create apps that can be published in different mobile stores. You will develop a movie app that is beautiful, has animations, uses a movie API to get the latest movie information and uses Firebase to store user information. Learn Flutter app development from the ground up, starting with the basics of Flutter and Dart code. By creating a movie app, you will master building user interfaces, managing data, and adding different screens. You will make your app look great with custom designs and smooth animations. The app will connect to the internet, save data locally, and use Firebase to handle user accounts and send notifications. You will also learn how to make your app work on websites and computers, respond to user actions, and add extra features from Flutter's package library. The final steps cover testing your app, making it run faster, and getting it ready for users to download. This book is for new and existing developers looking to learn how to develop multiplatform apps using the Flutter framework.

Название: Chaos Engineering with Python: Python-powered techniques for building resilient systems through chaos engineering
Автор: Mandeep Ubhi
Издательство: BPB Publications
Год: 2025
Страниц: 210
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Chaos Engineering with Python is a comprehensive guide to designing, executing, and automating chaos experiments to build resilient systems. The book blends foundational theory with hands-on practice, ensuring readers gain an understanding of implementing chaos engineering effectively. It begins by defining resilience and tracing the evolution of chaos engineering from traditional testing methods. A core focus of the book is real-world application, demonstrating structured chaos experiments across various environments. Readers will learn fault injection techniques, how to analyze experiment results, and how to use tools like the Python Chaos Toolkit. The book extensively covers chaos engineering on Kubernetes, a critical skill for modern cloud-native applications, and explores experiments on virtual machines and AWS infrastructure, in addition to providing an overview of the managed chaos services. The book also emphasizes integrating chaos experiments into CI/CD pipelines, enabling automated, continuous resilience testing as part of the development workflow. This book is for software engineers, DevOps engineers, SREs, and IT professionals looking to implement chaos engineering. Readers should have basic programming knowledge and familiarity with cloud computing concepts, though a Python refresher is provided.

Название: PHP and MySQL: The Comprehensive Guide
Автор: Christian Wenz, Tobias Hauser
Издательство: Rheinwerk Publishing, Inc.
Год: 2025
Страниц: 1005
Язык: английский
Формат: epub (true)
Размер: 18.6 MB

Dive into web development with this comprehensive guide to PHP 8! Whether you’re a beginner or an experienced developer, you’ll find everything you need to build dynamic, secure websites. Walk through installing PHP, object-oriented programming, and working with databases like MySQL. Gain hands-on experience with detailed code and application examples to. Master advanced topics like debugging, automated testing, security, and more! Your complete guide to server-side web development with PHP. Learn the basics of PHP programming, from syntax and strings to functions and regular expressions, before diving into web techniques. Use PHP with popular databases: MySQL, PDO, SQLite, Oracle, MongoDB, and more. Walk through the first steps of using PHP, from installation to database system selection (SQLite, Microsoft SQL Server, PostgreSQL, and more). Get a complete introduction to the language, including all the new features of PHP 8.

Название: AI-Assisted Coding: A Practical Guide to Boosting Software Development with ChatGPT, GitHub Copilot, Ollama, Aider, and Beyond
Автор: Michael Kofler, Bernd Öggl, Sebastian Springer
Издательство: Rheinwerk Publishing, Inc.
Год: 2025
Страниц: 395
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Generative AI is transforming software development. Stay on the cutting edge with this guide to AI pair programming! Learn how to make the most of modern tools like ChatGPT and GitHub Copilot to improve your coding. Automate refactoring, debugging, and other tedious tasks, and use techniques such as prompt engineering and retrieval-augmented generation to get the code you need. Follow practical examples that show how you can program faster, more efficiently, and with fewer errors with the help of AI. This guide gives you an up-to-date overview of all aspects of AI-assisted coding: GitHub Copilot autocompletions, project bootstrapping with OpenHands, debugging and refactoring, application development, and more.

Название: Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics
Автор: Faisal Rehman, Inam Ullah Khan, Oroos Arshi, Shashi Kant Gupta
Издательство: Springer
Год: 2025
Страниц: 212
Язык: английский
Формат: pdf (true), epub
Размер: 32.3 MB

This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperative for innovative solutions. From establishing the fundamental principles of cyber security to scrutinizing the latest advancements in AI and Machine Learning, each chapter offers invaluable insights into bolstering defenses against contemporary threats. Readers are guided through a journey that traverses the realms of cyber analytics, threat analysis, and the safeguarding of information systems in an increasingly interconnected world. With chapters dedicated to exploring the role of AI in securing IoT devices, employing supervised and unsupervised learning techniques for threat classification, and harnessing the power of recurrent neural networks for time series analysis, this book presents a holistic view of the evolving cybersecurity landscape.