Название: A First Course in Statistical Learning: With Data Examples and Python Code
Автор: Johannes Lederer
Издательство: Springer
Год: 2025
Страниц: 293
Язык: английский
Формат: pdf (true)
Размер: 17.9 MB

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from beginning to end for a profound yet practical introduction to statistical learning. The book consists of three parts: The first one presents data in the framework of probability theory, exploratory data analysis, and unsupervised learning. The second part on inferential data analysis covers linear and logistic regression and regularization. The last part studies Machine Learning with a focus on support-vector machines and Deep Learning. Each chapter is based on a dataset, which can be downloaded from the book's homepage.

Название: Know Go (Go 1.24 edition)
Автор: John Arundel
Издательство: Bitfield Consulting
Год: 2025
Страниц: 165
Язык: английский
Формат: pdf (true), epub
Размер: 12.0 MB

If you know Go, then you need to know all about interfaces, generics, and iterators: they’re key parts of modern Go. Learn all about type parameters and constraints in Go and how to use them, with this easy-to-read but comprehensive guide to programming with generics and iterators in Go. If you’re new to Go and generics, and wondering what all the fuss is about, this book is for you! If you have some experience with Go already, but want to learn about the new generics features, this book is also for you. And if you’ve been waiting impatiently for Go to just get generics and iterators already so you can use them, don’t worry: this book is for you too! You don’t need an advanced degree in computer science or tons of programming experience. Know Go: Generics explains what you need to know in plain, ordinary language, with simple examples that will show you what’s new, how the language changes will affect you, and exactly how to use generics in your own programs and packages.

Название: The Secrets of Rust: Tools
Автор: John Arundel
Издательство: Bitfield Consulting
Год: 2025
Страниц: 240
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

Are you ready to unlock the secrets of Rust? Master the world's most loved programming language with this cheerful and encouraging book for beginners and improvers, and learn how to craft stable, reliable, and durable software for this century and the next. This friendly, supportive, yet challenging book will show you how master software engineers think, and guide you through the process of designing production-ready command-line tools in Rust, step by step. This book is aimed at those who have a little experience with Rust (or even a lot), and would now like to learn how to build good software with it. If you want to learn why Rust consistently tops polls of the most admired languages, and why its popularity is rising fast among those who want to build safe, reliable, and high-performance software, this is the book for you. You'll master a guided-by-tests workflow for designing user-friendly APIs and building libraries of trusted, stable, high-quality software components suitable for critical applications.

Название: Argo CD and Argo Workflows on Kubernetes: GitOps, workflow automation, and progressive delivery with Argo Rollouts
Автор: Nahidul Kibria
Издательство: BPB Publications
Год: 2025
Страниц: 290
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Git is a widely used version-control system in software development, essential for managing infrastructure as code (IaC), where code defines infrastructure. Kubernetes enhances IaC with GitOps, using Git as the single source of truth for managing operations. The Argo Family offers cloud-native tools designed to simplify the management of jobs and applications on Kubernetes, seamlessly integrating with the GitOps framework. This book begins with a quick start on setting up Argo Projects in a local cluster, followed by an in-depth look at concepts and architecture. Once familiar with a production-ready setup, the book deliberates on integrating Argo Workflow, Argo Events, and Argo Rollouts, highlighting their combined capabilities. Finally, the book compares Argo with alternative tools, helping readers assess and choose the best options for their needs. Argo uses YAML as its workflow definition language, while Airflow uses Python. In addition, the Argo Workflow is event-driven and dynamic, parallel to Airflow. The target audience for this book includes developers, DevOps engineers, platform engineers, and individuals in leadership roles or senior architects who want to learn about cloud-native technologies and Argo Projects.

Название: Data Science and Analytics with Python: A Comprehensive Guide
Автор: Munonye Kindson
Издательство: Munonye Kindson
Год: 2025
Формат: Pdf, epub
Страниц: 550
Размер: 13,67 Мб
Язык: английский

Data Science and Analytics with Python: A Comprehensive Guide is designed for both aspiring data scientists and seasoned professionals and this book offers an in-depth exploration of data science principles and analytical techniques using Python's powerful ecosystem. From foundational concepts and data manipulation with Pandas and NumPy to advanced machine learning algorithms and insightful data visualization with Matplotlib and Seaborn, each chapter is meticulously crafted to provide clear explanations and practical, hands-on projects. Dive into real-world case studies that demonstrate how to transform raw data into actionable insights, build predictive models, and drive informed decision-making.

Название: Software Testing Strategies: Accelerating software delivery with continuous testing and integration
Автор: Panagiotis Leloudas
Издательство: BPB Publications
Год: 2025
Страниц: 442
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

This book will help you master the software testing strategies, by providing foundational knowledge about software testing, practical insights and forward-looking perspectives. The book starts with the core principles of software testing and its critical role as a risk management function, ensuring the reliability and quality of software systems. The book covers topics such as test environment setup, performance optimization and data-driven decision making, providing the reader with the tools to tackle complex testing challenges. Ethical considerations, lean testing practices, and the application of testing strategies across various phases of development are highlighted to encourage a holistic approach to software quality assurance. This book is for software testers, developers, and QA professionals seeking to enhance their understanding of testing strategies and practices. It is also valuable for managers and teams aiming to improve software quality.

Название: Revolutionizing Data Science and Analytics for Industry Transformation
Автор: Paul Devasahayam Manuel, Kalim Uddin Qureshi, Thamilarasi Venkatachalam
Издательство: IGI Global Scientific Publishing
Год: 2025
Страниц: 406
Язык: английский
Формат: pdf (true), epub
Размер: 21.7 MB

The fields of Data Science and analytics are always evolving. By understanding and navigating the data-driven revolution, advancements can be made in domains such as healthcare, finance, education, and more. Harnessing the power of data in decision-making and problem-solving across industries, industries may advance their methods of data collection, data visualization, and predictive modeling. As such, it is important to stay abreast of the latest developments, methodologies, and trends in data-driven research. Typically, data professionals create visualizations to display the data to a specific audience or for their own purpose. They make use of the selected programming languages' and tools' visualization libraries. Researchers and data scientists often employ proprietary technologies for complex statistical analysis or freely available programming languages like Python. Visualizations help academics and data scientists comprehend data sets better and see developments or patterns that they might have missed otherwise. There are several Python modules available for data visualisation, including Matplotlib, Seaborn, Plotly, and others.

Название: Using AI Tools in Text Analysis, Simplification, Classification, and Synthesis
Автор: Nayef J. Jomaa
Издательство: IGI Global Scientific Publishing
Год: 2025
Страниц: 534
Язык: английский
Формат: pdf (true), epub
Размер: 12.3 MB

The recent advancements in AI tools for generating, analyzing, translating, synthesizing, and summarizing texts are revolutionizing how we process and interact with information. These tools enhance productivity and creativity across diverse fields, enabling more efficient workflows and deeper insights. Its impact extends to fostering innovation, bridging language barriers, and democratizing access to knowledge, shaping a more connected and informed global society. Using AI Tools in Text Analysis, Simplification, Classification, and Synthesis discusses recent AI tools used in generating, analyzing, translating, and summarizing texts. It presents perspectives and current trends in using AI tools to deal with texts. Covering topics such as automated evaluation, large language models (LLMs), and text paraphrasing, this book is an excellent resource for academicians, researchers, educators, linguists, media professionals, business leaders, policymakers, and more.

Название: Artificial Intelligence and Data Science for Sustainability: Applications and Methods
Автор: Muhammad Syafrudin, Norma Latif Fitriyani, Muhammad Anshari
Издательство: IGI Global Scientific Publishing
Год: 2025
Страниц: 498
Язык: английский
Формат: pdf (true), epub
Размер: 25.0 MB

The integration of Artificial Intelligence (AI) and Data Science (DS) into sustainability efforts is increasingly crucial as the world faces environmental and resource challenges. By leveraging advanced AI and DS techniques, we can create innovative solutions for sectors like energy, agriculture, and waste management, promoting long-term sustainability. These technologies have the potential to optimize processes, reduce environmental footprints, and support smarter decision-making across industries. Ultimately, AI and DS are key to advancing both the efficiency and impact of sustainability efforts, contributing to a more sustainable future for society at large. Artificial Intelligence and Data Science for Sustainability: Applications and Methods explores the application of AI and DS techniques and methodologies in addressing various sustainability challenges. It brings together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains. Covering topics such as structural optimization, drone imagery, and development financing, this book is an excellent resource for computer scientists, computer engineers, urban planners, sustainability professionals, government officials, policymakers, researchers, professionals, scholars, academicians, and more.

Название: Machine Learning and Modeling Techniques in Financial Data Science
Автор: Haojun Chen
Издательство: IGI Global Scientific Publishing
Год: 2025
Страниц: 574
Язык: английский
Формат: pdf (true), epub
Размер: 34.1 MB

The integration of Machine Learning and modeling in finance is transforming how data is analyzed, enabling more accurate predictions, risk assessments, and strategic planning. These advanced techniques empower financial professionals to uncover hidden patterns, automate complex processes, and enhance decision-making in volatile markets. This technological shift not only drives innovation within financial sectors but also supports broader economic stability and growth by improving forecasting and mitigating risks. Machine Learning and Modeling Techniques in Financial Data Science provides an updated review and highlights recent theoretical advances and breakthroughs in professional practices within financial Data Science, exploring the strategic roles of Machine Learning and modeling techniques across various domains in finance. It offers a comprehensive collection that brings together a wealth of knowledge and experience. Covering topics such as algorithmic trading, financial technology (FinTech), and natural language processing (NLP), this book is an excellent resource for business professionals, leaders, policymakers, researchers, academicians, and more.