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[booksz]

Angular Web Development Handbook
English | 2025 | ISBN: B0F6M477HK | Pages: 367 | EPUB (True) | 2.77 MB
Unlock the full potential of web development with

Angular Web Development Handbook
. This practical guide helps you understand Angular, one of the most powerful frontend frameworks in the industry.
Through clear explanations, practical examples, and step-by-step tutorials, you'll learn how to build dynamic, responsive, and scalable web applications. Whether you're creating your first project or refining your skills, this book offers a hands-on approach that makes complex topics accessible and easy to apply.
You'll gain a deep understanding of essential Angular concepts, from building components and managing forms to routing, handling APIs, and testing your applications effectively. Along the way, best practices and expert tips ensure you're writing clean, maintainable, and professional code.
Start your journey today and become the Angular developer you aspire to be-with the confidence and skills to create powerful web applications that stand out.

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Annie Sloan Colourful Living
by Sloan, Annie;
English | 2025 | ISBN: 1800654154 | 246 pages | True EPUB | 16.04 MB

Annie Sloan is a celebrated decorative painter and the inventor of Chalk Paint®, with over a million followers on social media. In her new book, Annie introduces 30 brand-new sustainable upcycling projects to give old furniture a second life.The pieces in this book range from decorative items such as a bed coronet and a decoupaged bureau to large-scale undertakings including revamping a tall French armoire with a blend of Chalk Paint hues and using paint effects for a faux malachite desk. The projects are grouped by simplicity and the length of time required to complete each one, from an afternoon to a weekend. The techniques used range from painting to gilding, dyeing fabric, stamping, printing and stencilling and each one is clearly explained in easy-to-follow step-by-step photography. As well as her love for colour and paint, Annie has a passion for sustainability and reuse, and the book includes a chapter that explains the concept of upcycling and why it matters. Every project in the book transforms an unloved second-hand item into something beautiful and unique, and Annie provides expert advice on sourcing the original pieces at flea markets and online.

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Annual Report on China's Petroleum, Gas and New Energy Industry (2024)
English | 2025 | ISBN: 981965260X | 433 Pages | PDF EPUB (True) | 13 MB
This book provides a close analysis of the changes in the global oil and gas industry and the new energy industry. It offers a deep exploration of various sectors such as the global oil industry, natural gas industry, new energy industry, low-carbon market, and electricity market. Since 2023, there have been significant adjustments in the global energy market. The geopolitical situation in the Middle East is unstable, resulting in fluctuating international oil prices and a profound transformation in the trade flow of crude oil. Additionally, the global natural gas trade pattern is undergoing reshaping. China is accelerating the construction of a new energy system with the gradual increase in the proportion of renewable energy consumption, the development and improvement of the domestic carbon market, and the gradual expansion of green electricity trading.

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Ansible by Examples: 200+ Automation Examples For Linux and Windows System Administrator and DevOps
English | 2022 | ASIN: B09RCR451P | 1665 pages | Epub | 23.79 MB
Ansible is an Open Source IT automation tool. This book contains all of the obvious and not-so-obvious best practices of Ansible automation. Every successful IT department needs automation nowadays for bare metal servers, virtual machines, could, containers, and edge computing. Automate your IT journey with Ansible automation technology.

You are going to start with the installation of Ansible in Enterprise Linux, Community Linux, Windows, and macOS using the most command package manager and archives.
Each of the 200+ lessons summarizes a module: from the most important parameter to some Ansible code and real-life usage. Each code is battle proved in the real life. Simplifying mundane activities like creating a text file, extracting and archiving, fetching a repository using HTTPS or SSH connections could be automated with some lines of code and these are only some of the long lists included in the course.
There are some Ansible codes usable in all the Linux systems, some specific for RedHat-like, Debian-like, and Windows systems.
The 20+ Ansible troubleshooting lesson teaches you how to read the error message, how to reproduce, and the process of troubleshooting and resolution.
Are you ready to automate your day with Ansible?
Examples in the book are tested with the latest version of Ansible 2.9+ and Ansible Core 2.11+.

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Anxiety Management for Highly Sensitive People: Practical Strategies for Transforming Your Sensitivity into Strength
English | 2025 | ISBN: B0F7HCRZ9L | Pages: 487 | EPUB (True) | 2.13 MB
Anxiety Management for Highly Sensitive People

Practical Strategies for Transforming Your Sensitivity into Strength
Are you someone who notices subtle details others miss, feels emotions deeply, and becomes easily overwhelmed by sensory input? You may be among the 15-20% of people born with the trait of high sensitivity-a normal neurological variation that brings both remarkable gifts and unique challenges, particularly regarding anxiety.
This comprehensive guide provides specialized approaches for managing anxiety that work with, rather than against, your sensitive nervous system. Through practical strategies, detailed case examples, and actionable exercises, you'll discover how to:
Transform overwhelming sensitivity into a genuine strength
Create environments that support rather than challenge your system
Develop effective regulation techniques for sensory, emotional, and cognitive overwhelm
Navigate social situations and workplace challenges with confidence
Build authentic resilience while honoring your sensitive nature
Unlike generic anxiety resources, this book addresses the specific needs of highly sensitive people through targeted approaches that respect your unique neurological wiring. By understanding the distinctive connection between sensitivity and anxiety, you'll develop skills that not only reduce distress but enhance your natural gifts of perception, depth, and awareness.
The path to wellbeing begins not with fighting your sensitivity but embracing it-with appropriate tools, boundaries, and understanding. This book provides the roadmap for that transformative journey.

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Apache Airflow Best Practices: A practical guide to orchestrating data workflow with Apache Airflow
English | 2024 | ISBN: 1805123750 | 188 pages | EPUB (True) | 6.86 MB
Confidently orchestrate your data pipelines with Apache Airflow by applying industry best practices and scalable strategies

Key Features
Seamlessly migrate from Airflow 1.x to 2.x and explore the key features and improvements in version 2.x
Learn Apache Airflow workflow authoring through practical, real-world use cases
Discover strategies to optimize and scale Airflow pipelines for high availability and operational resilience
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Data professionals face the challenge of managing complex data pipelines, orchestrating workflows across diverse systems, and ensuring scalable, reliable data processing. This definitive guide to mastering Apache Airflow, written by experts in engineering, data strategy, and problem-solving across tech, financial, and life sciences industries, is your key to overcoming these challenges.
Covering everything from Airflow fundamentals to advanced topics such as custom plugin development, multi-tenancy, and cloud deployment, this book provides a structured approach to workflow orchestration. You'll start with an introduction to data orchestration and Apache Airflow 2.x updates, followed by DAG authoring, managing Airflow components, and connecting to external data sources. Through real-world use cases, you'll learn how to implement ETL pipelines and orchestrate ML workflows in your environment, and scale Airflow for high availability and performance. You'll also learn how to deploy Airflow in cloud environments, tackle operational considerations for scaling, and apply best practices for CI/CD and monitoring.
By the end of this book, you'll be proficient in operating and using Apache Airflow, authoring high-quality workflows in Python, and making informed decisions crucial for production-ready Airflow implementations.
What you will learn
Explore the new features and improvements in Apache Airflow 2.0
Design and build scalable data pipelines using DAGs
Implement ETL pipelines, ML workflows, and advanced orchestration strategies
Develop and deploy custom plugins and UI extensions
Deploy and manage Apache Airflow in cloud environments such as AWS, GCP, and Azure
Plan and execute a scalable deployment strategy for long-term growth
Apply best practices for monitoring and maintaining Airflow
Who this book is for
This book is ideal for data engineers, developers, IT professionals, and data scientists looking to optimize workflow orchestration with Apache Airflow. It's perfect for those who recognize Airflow's potential and want to avoid common implementation pitfalls. Whether you're new to data, an experienced professional, or a manager seeking insights, this guide will support you. A functional understanding of Python, some business experience, and basic DevOps skills are helpful. While prior experience with Airflow is not required, it is beneficial.
Table of Contents
Getting Started with Airflow 2.0
Core Airflow Concepts
Components of Airflow
Basics of Airflow and DAG Authoring
Connecting to External Sources
Extending Functionality with UI Plugins
Writing and Distributing Custom Providers
Orchestrating a Machine Learning Workflow
Using Airflow as a Driving Service
Airflow Ops: Development and Deployment
Airflow Ops Best Practices: Observation and Monitoring
Multi-Tenancy in Airflow
Migrating Airflow

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Apache Airflow Best Practices: A practical guide to orchestrating data workflow with Apache Airflow
English | 2024 | ISBN: B0DJNS54RR | Pages: 650 | PDF | 6.18 MB
Data professionals face the monumental task of managing complex data pipelines, orchestrating workflows across diverse systems, and ensuring scalable, reliable data processing. This definitive guide to mastering Apache Airflow, written by experts in engineering, data strategy, and problem-solving across tech, financial, and life sciences industries, is your key to overcoming these challenges. It covers everything from the basics of Airflow and its core components to advanced topics such as custom plugin development, multi-tenancy, and cloud deployment.

Starting with an introduction to data orchestration and the significant updates in Apache Airflow 2.0, this book takes you through the essentials of DAG authoring, managing Airflow components, and connecting to external data sources. Through real-world use cases, you'll gain practical insights into implementing ETL pipelines and machine learning workflows in your environment. You'll also learn how to deploy Airflow in cloud environments, tackle operational considerations for scaling, and apply best practices for CI/CD and monitoring.
By the end of this book, you'll be proficient in operating and using Apache Airflow, authoring high-quality workflows in Python for your specific use cases, and making informed decisions crucial for production-ready implementation.

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Apache Hive Handbook: Query, Analyze, and Optimize Big Data
English | 2025 | ISBN: B0DYDLJ1BC | Pages: 465 | EPUB (True) | 5.79 MB
"Apache Hive Handbook: Query, Analyze, and Optimize Big Data" is an authoritative resource that unlocks the potential of Apache Hive for data scientists, engineers, and analysts alike. As data continues to expand exponentially, understanding how to effectively manage and analyze this information becomes crucial. This book introduces Apache Hive's capabilities, meticulously guiding readers from establishing their environment to mastering complex queries with HiveQL. With clear explanations and practical examples, the handbook serves as both a foundational text for beginners and a comprehensive reference for seasoned data professionals.

Delving into advanced topics, the book offers insights into optimizing Hive queries to enhance performance and efficiency. Readers will discover strategies for bucketing, partitioning, and indexing that will transform how they approach data management. Furthermore, the integration of Hive with other cutting-edge big data technologies expands its applicability, from Apache Spark and HBase to real-time stream processing with Kafka. These integrations empower readers to construct versatile, powerful analytics frameworks tailored to the demands of modern enterprises.
The handbook doesn't just stop at the present; it ventures into future trends and advanced topics, preparing readers for the evolving landscape of data analytics. Whether it's embracing cloud-based Hive deployments or leveraging machine learning within Hive ecosystems, this book offers a roadmap for professionals looking to stay ahead of technological developments. With "Apache Hive Handbook," you gain the expertise needed to harness the vast opportunities within big data, equipping you to make informed, impactful decisions in any data-driven domain.

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Apache Spark for Machine Learning: Build and deploy high-performance big data AI solutions for large-scale clusters
English | 2024 | ISBN: B0DHDCKGY2 | Pages: 531 | PDF | 10.21 MB
In the world of big data, efficiently processing and analyzing massive datasets for machine learning can be a daunting task. Written by Deepak Gowda, a data scientist with over a decade of experience and 30+ patents, this book provides a hands-on guide to mastering Spark's capabilities for efficient data processing, model building, and optimization. With Deepak's expertise across industries such as supply chain, cybersecurity, and data center infrastructure, he makes complex concepts easy to follow through detailed recipes.

This book takes you through core machine learning concepts, highlighting the advantages of Spark for big data analytics. It covers practical data preprocessing techniques, including feature extraction and transformation, supervised learning methods with detailed chapters on regression and classification, and unsupervised learning through clustering and recommendation systems. You'll also learn to identify frequent patterns in data and discover effective strategies to deploy and optimize your machine learning models. Each chapter features practical coding examples and real-world applications to equip you with the knowledge and skills needed to tackle complex machine learning tasks.
By the end of this book, you'll be ready to handle big data and create advanced machine learning models with Apache Spark.

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[booksz]

Rob Tobin, "Apathy: A Life Choice (Summersdale Humour)"
English | 2002 | pages: 129 | ISBN: 1840242701 | PDF | 0,2 mb
If you have trouble getting up in the morning, if you lack motivation at work, if you can't be bothered with family and friends, this title is packed with the greatest cynical and defeatist quotes.

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[booksz]

API Management with Bruno
English | 2025 | ISBN: 9798230021742 | 287 pages | EPUB (True) | 1.46 MB
If you're an API practitioner, this book will show you how to

use Bruno to its maximum capacity for managing your API lifecycle
. Bruno is a new alternative to Postman and Insomnia; this practical book will teach you
how to use it for API design, development, testing, deployment, and monitoring
. The book is less concerned with helping you become an API Management expert than it is with showing you how to make the most of Bruno's features so that you can efficiently complete tasks in the real world.
The chapters cover topics such as
creating a safe and scalable development environment, using the Bruno command line interface (CLI), and creating API blueprints with Bru Lang
that are easy to understand and maintain. You'll learn how
to embed business logic, manage data transformations, and implement robust error handling to build dynamic endpoints that respond to real-time events
. In an effort to protect sensitive information,
practical implementations of OAuth 2.0 authorization, JWT authentication, and effective secret management are implemented
. Your
API's reliability and scalability under different conditions can be further assured with automated testing and live debugging sessions
.
You can
automate mundane tasks and expand your API's functionality with the help of the advanced integrations
covered in this book. These integrations allow you to
connect to popular platforms like AWS, Jira, GitHub, and Jenkins
. Additionally, you will become an expert at
configuring and executing webhooks and event-driven actions
, which are crucial for keeping your API in sync with external systems.
Key Learnings
Use Bruno CLI via npm for simplified installation and guarantees an up-to-date API management toolkit.
Create clear API blueprints for designing and building robust endpoints.
Integrate JWT authentication for secure API access while supporting scalable, stateless user management practices.
Integrate OAuth 2.0 for fine-grained authorization, and to control access to sensitive API resources.
Implement secrets management via environment variables to protect credentials and maintains secure configuration.
Implement automated test suites to validate API functionality across all endpoints.
Carry out real-time debugging and logging of API interactions during live operations.
Write custom automation scripts to streamline testing, deployment, and data management across API workflows.
Integrate with third-party services like Jira, GitHub, Jenkins, and AWS.
Work around webhooks and event-driven actions to respond real-time events.

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[booksz]

API Product Management 101: From Foundation to Advanced Strategies by Joe Maven
English | December 6, 2024 | ISBN: N/A | ASIN: B0DPRRS95Y | 91 pages | EPUB | 0.16 Mb
In a world driven by digital transformation, APIs have emerged as the backbone of connectivity, fueling innovation, unlocking new revenue streams, and shaping the tech ecosystem. But managing an API isn't just about technical know-how-it's about blending strategy, collaboration, and foresight to create impactful products. API Product Management 101: From Foundation to Advanced Strategies is your ultimate guide to mastering this critical domain.

Whether you're an aspiring API Product Manager, a seasoned professional looking to sharpen your skills, or a business leader trying to understand how APIs can amplify your organization's potential, this book is tailored to meet your needs. From breaking down complex API concepts into digestible insights to providing actionable strategies, this book equips you to navigate every stage of the API lifecycle with confidence.
The journey begins with the basics-understanding what APIs are, their types, and their transformative business value. Then it delves into the unique role of the API Product Manager, emphasizing the delicate balance between technical fluency and business strategy. With practical advice, real-world examples, and clear definitions, you'll build a strong foundation for making informed decisions.
Next, the book explores crafting a visionary API strategy-aligning your APIs with organizational goals, monetization models, and user needs. Learn how to effectively pitch your API, overcome stakeholder objections, and define a roadmap that ensures both immediate wins and long-term growth.
The heart of the book lies in design and development, where the principles of creating user-friendly, consistent APIs take center stage. You'll uncover the secrets to building APIs that developers love, ensuring seamless collaboration with engineering teams, and adhering to critical design standards like OpenAPI and JSON Schema.
Finally, the advanced sections prepare you for the challenges of scaling, securing, and evolving your API ecosystem. From handling versioning and maintaining backward compatibility to mastering security essentials and navigating compliance landscapes like GDPR and HIPAA, you'll gain insights into becoming a leader in API governance.
Beyond technical execution, the book emphasizes human connections. Learn how to foster meaningful developer relationships, build communities, and leverage feedback for continuous improvement. With strategies for launches, support systems, and analytics, you'll manage your API as a dynamic product that adapts to a changing market.
Packed with templates, checklists, case studies, and resources, API Product Management 101 is more than a book-it's a mentor in print, guiding you from foundational knowledge to advanced expertise. Whether you're laying the groundwork or scaling to enterprise-grade solutions, this book offers the clarity, inspiration, and tools you need to thrive in the ever-evolving API landscape.

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Application Lifecycle Management on Microsoft Power Platform: A comprehensive guide to managing the deployment of your solutions
English | 2024 | ISBN: B0DCW2RCTQ | Pages: 382 | PDF | 8.48 MB
Managing Power Platform solutions manually can be challenging and time-consuming, as is application lifecycle management (ALM), which encompasses governance, development, and maintenance. This book provides comprehensive coverage of ALM, addressing planning, development, testing, deployment, and maintenance. Drawing on his extensive experience as a Power Platform consultant and Microsoft MVP, Benedikt Bergmann simplifies complex topics, making them accessible and easy to grasp.

From planning and designing applications to deploying and maintaining them, this book provides step-by-step instructions, best practices, and real-world examples to effectively manage the entire application lifecycle. You'll gain insights into optimizing Power Platform's toolbox, including Power Apps, Power Automate, Power Pages, and Power Virtual Agents, for seamless collaboration, agile development, and rapid application delivery. You'll also implement best practices for version control, code management, and collaboration using the Microsoft Power Platform.
By the end of this book, you'll be equipped with the knowledge and skills to effectively manage the entire application lifecycle, accelerate development cycles, and deliver exceptional solutions with the Microsoft Power Platform.

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[booksz]

Application of Nanocarriers in Brain Delivery of Therapeutics by Amit Alexander
English | September 7, 2024 | ISBN: 9819728584 | 405 pages | MOBI | 8.59 Mb
This book presents nanoparticles as potential drug delivery carriers for overcoming the blood-brain barrier. The initial chapter of the book discusses complex brain disorders, the currently available therapies, and their limitations. The book discusses the potential applications of polymeric nanoparticles, lipid nanocarriers, liposomes, inorganic nanoparticles, dendrimers, and stimuli-responsive polymers for targeted brain drug delivery. Further, it evaluates the development and role of different cell lines and animal models in brain research. Towards the end, the book reviews challenges, safety, toxicity, regulatory aspects, future possibilities, and constraints in the clinical translation of nanocarrier systems to treat neurological disorders. The book as such provides valuable information to neuroscientists, and researchers working in pharmaceuticals, nanomedicine, drug delivery research, and nanotechnology.

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[booksz]

Applied APL Programming: Definitive Reference for Developers and Engineers
English | 2025 | ISBN: 6610000825394 | 332 pages | Epub (True) | 3.21 MB
"Applied APL Programming"

"Applied APL Programming" is an in-depth guide that illuminates the expressive power and unique philosophy of the APL language. Beginning with a thorough exploration of APL's symbol-rich syntax and array-oriented paradigm, the book grounds readers in both the foundational and modern aspects of the language, including its evolving ecosystem and development tooling. Readers will gain a nuanced understanding of APL data structures-from simple arrays to deeply nested constructs-and learn how the workspace model fosters an efficient and flexible programming environment.
The book systematically builds essential skills in array manipulation, function definition, and higher-order programming using APL's distinctive operators and tacit style. Advanced topics such as boxed arrays, associative structures, and algorithmic problem solving are presented with practical examples that bridge theory and application. Comprehensive chapters on real-world scenarios cover domains like statistical computing, signal processing, optimization, and simulations, providing a toolkit for tackling technical challenges across industries.
Beyond coding, "Applied APL Programming" addresses the full software development lifecycle, including best practices for code quality, testing, refactoring, deployment, and scalability in multi-core environments. Integration with external systems, database access, and leveraging modern APIs are covered in depth, positioning APL as a contemporary, interoperable language. Closing with a survey of the vibrant APL community, open-source projects, and the language's ongoing influence on the wider world of programming, this book serves as an indispensable resource for both aspiring and experienced APL practitioners.

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[booksz]

Applied Circular Economy Engineering: Technologies and Business Solutions to Implement Circularity by Juliano B. Araujo
English | 2025 | ISBN: 9783527847303 | 308 pages | PDF | 6.05 MB
An essential resource for circular economy engineering as a business sustainability solution and risk mitigation measure

In Applied Circular Economy Engineering: Technologies and Business Solutions to Implement Circularity, a team of distinguished researchers delivers an up-to-date discussion of the implementation of circular economy concepts in industrial practice. It examines a comprehensive range of solutions and ideas from engineering and business research from the perspective of the European Circular Economy Package.
The book explores the most relevant material and product flows, including metals, polymers, and food, as well as common product lifecycle steps, like product design, material extraction, and recycling. Applied Circular Economy Engineering explains the most effective applied practices, business considerations, and forward-looking solutions to frequently experienced business problems.
Readers will also find:
A thorough introduction to how circular economy considerations influence process design, product design, energy, and waste management
Real-world case studies of circular design and processes
Practical discussions of a wide variety of industries adopting circular economy principles, including medical devices and food
Complete treatments of circular economy implementation and challenges, including business circularity maturity assessments and transition plans
Perfect for chemical and process engineers, Applied Circular Economy Engineering: Technologies and Business Solutions to Implement Circularity will also benefit business economists, product planners, and anyone else involved in the engineering and development of circular products or processes.

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[booksz]

Applied Deep Learning on Graphs:
Leverage graph data for business applications using specialized deep learning architectures
English | 2024 | ISBN: 1835885977 | 447 Pages | EPUB (True) | 8 MB

Gain a deep understanding of applied deep learning on graphs from data, algorithm, and engineering viewpoints to construct enterprise-ready solutions using deep learning on graph data for wide range of domains
Key Features
Explore graph data in real-world systems and leverage graph learning for impactful business results
Dive into popular and specialized deep neural architectures like graph convolutional and attention networks
Learn how to build scalable and productionizable graph learning solutions
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
With their combined expertise spanning cutting-edge AI product development at industry giants such as Walmart, Adobe, Samsung, and Arista Networks, Lakshya and Subhajoy provide real-world insights into the transformative world of graph neural networks (GNNs).
This book demystifies GNNs, guiding you from foundational concepts to advanced techniques and real-world applications. You'll see how graph data structures power today's interconnected world, why specialized deep learning approaches are essential, and how to address challenges with existing methods. You'll start by dissecting early graph representation techniques such as DeepWalk and node2vec. From there, the book takes you through popular GNN architectures, covering graph convolutional and attention networks, autoencoder models, LLMs, and technologies such as retrieval augmented generation on graph data. With a strong theoretical grounding, you'll seamlessly navigate practical implementations, mastering the critical topics of scalability, interpretability, and application domains such as NLP, recommendations, and computer vision.
By the end of this book, you'll have mastered the underlying ideas and practical coding skills needed to innovate beyond current methods and gained strategic insights into the future of GNN technologies.
What you will learn
Discover how to extract business value through a graph-centric approach
Develop a basic understanding of learning graph attributes using machine learning
Identify the limitations of traditional deep learning with graph data and explore specialized graph-based architectures
Understand industry applications of graph deep learning, including recommender systems and NLP
Identify and overcome challenges in production such as scalability and interpretability
Perform node classification and link prediction using PyTorch Geometric
Who this book is for
For data scientists, machine learning practitioners, researchers delving into graph-based data, and software engineers crafting graph-related applications, this book offers theoretical and practical guidance with real-world examples. A foundational grasp of ML concepts and Python is presumed.
Table of Contents
Introduction to Graph Learning
Graph Learning in the Real World
Graph Representation Learning
Deep Learning Models for Graphs
Graph Deep Learning Challenges
Harnessing Large Language Models for Graph Learning
Graph Deep Learning in Practice
Graph Deep Learning for Natural Language Processing
Building Recommendation Systems Using Graph Deep Learning
Graph Deep Learning for Computer Vision
Emerging Applications
The Future of Graph Learning

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[booksz]

Applied Statistical Methods: Including Nonparametric and Bayesian Approaches
by W. Holmes Finch
English | 2025 | ISBN: 1032459344 | 375 pages | True PDF | 14.75 MB

This book is designed to provide students, teachers, and researchers with a text that includes a full range of statistical methods available to address commonly encountered research problems. Many textbooks for introductory, intermediate, and advanced statistics courses focus heavily on parametric methods. However, in practice, the assumptions underlying these methods are frequently not met, therefore calling into question their use. This book addresses this issue by presenting parametric, nonparametric, robust, and Bayesian techniques that are appropriate for research scenarios often encountered in practice and typically found in statistics courses. For each of these major topics, the standard parametric approach is presented, along with the assumptions underlying it and the methods used to assess the viability of these assumptions. Next, a set of alternative techniques for the research scenario is presented and applied to the motivating example that begins each chapter. Each chapter concludes with a summary focused on how researchers should select which method to use when and a summary of the material covered in the chapter. The chapters have motivating examples that serve as an anchor for discussion of the featured methods. The focus of the chapters is intended to be conceptual (as opposed to highly technical) to make the text useful to individuals with a wide array of statistical backgrounds. More technical material is included in each chapter for interested readers and instructors who would like to focus more attention on it. Instructors will be able to use this book as a main text in introductory, intermediate, and some specialized statistics courses such as nonparametric and robust methods. In addition, researchers and data analysts from a wide array of disciplines will be able to use this book as a primary resource in their work.
Key features of this book are as follows:
It presents a full range of statistical options available to researchers for major problems faced in the social and life sciences, health care, and business.
It explains how to evaluate a dataset to determine which statistical approach (e.g., standard parametric, nonparametric, robust, Bayesian) may be optimal.
It features a website containing datasets and computer code.

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[booksz]

Applied TinyML: End-to-end machine learning for microcontrollers with examples
English | 2025 | ISBN: 9365890713 | 371 pages | True EPUB | 16.82 MB
AI is useful when it runs in large machines in data centers, but only when it makes it down to stand-alone edge devices will it unlock countless new use cases and applications. TinyML is transforming AI by bringing ML capabilities to small, low-power devices at the very edge of the network.

This book will guide you through building these smart devices. It establishes TinyML's core foundations and a methodology for application development, from problem definition to power management and cost analysis. You will explore practical skills applications, learning sound, movement, and image classification, followed by advanced techniques like object tracking and sensor fusion, using methods such as Kalman filters. You will explore deep learning regression for predictive tasks and essential anomaly detection for identifying unusual patterns, all demonstrated through real-world use cases.
After reading this book, you will be fully equipped to design, build, and deploy complete TinyML systems, from data collection and feature extraction to model training, deployment, and hardware integration. You will gain hands-on skills and the practical engineering knowledge needed to bring intelligent low-power devices to life.
WHAT YOU WILL LEARN
● Build smart gadgets that recognize sounds and movements.
● Learn skills beyond coding to create TinyML systems.
● Design, build, and deploy TinyML applications.
● Design smart systems that can learn on their own.
● Make devices that understand and classify images.
● See how AI and ML fit into the real-world.
WHO THIS BOOK IS FOR
This book is for engineers, developers, and AI enthusiasts eager to build intelligent edge devices. No prior deep expertise in AI or electronics is required; it is perfect for anyone starting their journey in creating smart widgets with TinyML.

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[booksz]

Applied UX Research: Bridging the gap between academia and industry: Written for early UX Research career professionals
English | 2025 | ASIN: B0F2HPWJVS | 242 pages | Epub | 617.70 KB
Are you ready to bridge the gap between UX research theory learned in academia and the dynamic reality of the industry? Written by Utkarsh Seth, a seasoned UX researcher with over 17 years of experience at companies like Microsoft, Google, and Nordstrom, this book is your essential guide to navigating and mastering the foundational skills of this transformative field.

Drawing on his experience teaching and mentoring countless students and early career professionals, Utkarsh addresses the noticeable absence of material specifically designed to ease the transition from academic life to the professional UX research world. Whether you're a student exploring career options, an early career professional seeking a more systematic approach, or even a product manager aiming to align products with user needs, this book offers practical advice, real-world examples, and actionable steps to empower you to create user-centered solutions.
Inside, you'll discover the core principles of UX research and with key learnings and how it changes when people transition from academia to industry. Gain invaluable insights into how UX research is practiced in the industry, what it truly means to be accountable as a researcher in a company, and the essential skills often missed in academic settings, like effective collaboration and stakeholder management. This book is your roadmap to not just understanding UX research, but to making a real impact by informing product development through user insights and accelerating your journey to becoming an industry-ready UX researcher.

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