Digital and IT general topics Books

Book SynopsisLEGO has come a long way from the days of simple square bricks, and many still associate LEGO with their various playsets. For those that want more advanced building, some LEGO enthusiasts prefer the Technic sets, which feature beams, axles, gears, and other mechanized parts that can be powered and programmed to make fairly complex machines. This book begins with an introduction of basic pieces and building techniques, and there will be instruction of how to build some terrific vehicles that will look like actual cars, planes, and other machines. Not only that, I will instruct how to make these vehicles do all kinds of motion, even steering and walking!After reading this book, the reader will be inspired to create any machine they want. They will also be able to use the programming tools for even more mechanical creations in the future. What You'll LearnHow to use beams, axles, gears, and other mechanized parts to create intricate and functional machines. How to create building impressive vehicles with step-by-step instructions. How to innovate and design your unique LEGO creationsLearn the basics of Technic to bring creations to lifeWho This Book Is ForThis is a book that is made for students but is also made for educators. From the classroom to the adult hobbyist, people from all over the world want to create, thanks to Maker culture.This book will help those who are not certain where to begin with their creations.

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Book SynopsisWhy do we need to live in a smart city? Rapid urbanization causes compelling city problems worldwide, such as housing, traffic, schooling, healthcare, employment, and pollution. Numerous smart-city scholars and practitioners have attempted to tackle these problems but lack an integrated approach and practical implementation tools to solve them. This book explains how to build digital twin metaverse cities aimed to accelerate urban digital transformation through emerging technologies. You'll start by identifying a problem statement, designing a novel digital twin metaverse architecture, reviewing emerging technologies as building blocks and showcasing interesting applications. You'll then review state-of-the-art digital twin metaverse development tools and present readers with interesting engineering prototypes of my proposed digital twin smart cities. Finally, you'll discover how to avoid some management pitfalls during the construction of innovative smart cities, including project management, change management, leadership skills, and modern management information systems. With Building Digital Twin Metaverse Cities you'll work with a novel architectural design and use the latest technologies as building blocks to construct smart cities of your own. What You'll LearnExplore complex issues arising from rapid urbanization. Discover how emerging technologies like 5G, IoT, and AI can solve urban problems. Master the digital twinning process powered by the Data Analytics Flywheel. Explore core and enabling technologies shaping Digital Twin Metaverse Cities. Gain hands-on experience with development tools and prototypes for smart city applications. Who This Book Is ForProfessionals who want to learn emerging technologies and digital twin metaverse development tools to construct innovative smart cities to solve the current pressing urbanization problems. General readers like city residents and government officials worldwide, who are suffering from the growing pains of rapid urbanization and looking for effective smart city solutions using new technologies and methodology. Smart city researchers and college students wanting to build smart projects for urban digital transformation and smart Xs (everything).

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Book SynopsisMake a stand-alone weather data recorder to collect air pressure, air temperature, and humidity data using only an Arduino, SD-card, LCD display, and solar power.

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Book SynopsisChapter 1_Machine Learning and NLP Primer.- Chapter_2: RNN to Transformer and BERT.- Chapter_3: Large Language Models.- Chapter_4: LLM and Python.- Chapter_5: Retrieval Augmented Generation.- Chapter_6: LLM Evaluation.- Chapter_7: AI Governance and Responsible.- Chapter_8: Add Intelligence to a Large Enterprise Applications.- Chapter_9: Big Data in Machine Learning Systems and Architectures.- Chapter_10: An End-to-End Enterprise Application.

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Book SynopsisChapter 1: Awareness.- Chapter 2: A strong modelling foundation.- Chapter 3: XR Life Cycle.- Chapter 4: Convergence.- Chapter 5: Key Use Cases for XR.- Chapter 6: Deployment.- Chapter 7: Learning from Experience.- Appendix A: Artificial intelligence in the Metaverse.- Appendix B: Sources.

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Book SynopsisChapter 1: Salesforce Platform Fundamentals.- Chapter 2: Underpinnings of Data Modeling.- Chapter 3: Platform Security.- Chapter 4: Customizing the User Interface.- Chapter 5: Improving and Enriching Data Quality.- Chapter 6: Automating Business Processes.- Chapter 7: Nuts and Bolts of Application Development.- Chapter 8: Power of Social Analytics.- Appendix A: Answers to Hands-on Exercises.

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Book SynopsisChapter 1: Refactoring Apex code: First steps.- Chapter 2: Naming: Simple Techniques for Better Software Design.- Chapter 3: Doing One Thing: Abstraction, Boolean Parameters, and Design Patterns.- Chapter 4: How long should methods be: length, depth and subtasks.- Chapter 5: Comments don’t lie, developers do.- Chapter 6: Null, validations and guard clauses.- Chapter 7: Cascading failures in trigger boundaries.- Chapter 8: Object-Oriented Programming in Apex.- Chapter 9: Software Design Principles.- Chapter 10: Modularity, Coupling and Cohesion.- Chapter 11: Dependency Injection and Boundaries.- Chapter 12: Unit Tests, Stubs and Mocking the Salesforce Database.- Chapter 13: A well-architected framework for Apex.

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Book SynopsisChapter 1: Intelligent Automation as a Driver of Business Model InnovationContent/Goal.- Chapter 2: Transforming Customer Experience with IAContent/Goal.- Chapter 3: IA as an Employee Empowerment ToolContent/Goal.- Chapter 4: Developing a Strategic Roadmap for Intelligent AutomationContent/Goal.- Chapter 5: The Critical Role of an IA Framework in Digital TransformationContent/Goal.- Chapter 6: Fostering an Enterprise-Wide Automation Development MindsetContent/Goal.- Chapter 7: How Intelligent Automation Can Drive Strategic ValueContent/Goal.- Chapter 8: Aligning IA with Digital Transformation PrinciplesContent/Goal.- Chapter 9: Sustaining Digital Maturity Amid Rapid Tech DisruptionsContent/Goal.- Chapter 10: Emerging Technologies Driving the Future of IAContent/Goal.- Chapter 11: Closing Thoughts on IA’s Importance to Digital TransformationContent/Goal.- Chapter 12: How Generative AI Powered the Writing of this BookContent/Goal.

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