Data og IT

This book aims to cover a new emerging need in designing digital phase shifter for modern communication systems. With the advancement of new generation mobile communication systems, directed beams of antenna arrays save a substantial amount of power as well as improve the communication quality. In this regard, beam-forming circuits, such as digital phase shifters (DPS) constitute essential parts of the antenna array systems. Therefore, this book is devoted to the design of digital phase shifters for various communications systems. Nowadays, phase array systems demand compact phase shifters suitable for chip implementation with wide phase-range and broad frequency band. Each chapter of this book is organized as stand-alone in such a way that the reader requires no specific background acquired from the other chapters. For each phase shifter topology introduced in this book, the reader is furnished with explicit design equations to construct the circuit under consideration. Furthermore, design equations are programmed using MATLAB to assess the electrical performance of the phase shifters with ideal and lossy components. MATLAB design programs are given at the and of each chapter as appendices and provided as soft copy on the web page of the book. In chapters 12 and 14, MMIC layouts for the lattice and T-section based DPS are provided for the readers. It is hoped that an interested reader can immediately identifies the "e;optimum phase shifter topology"e; for the need under consideration with its estimated electric performance.

The availability of packaged clustering programs means that anyone with data can easily do cluster analysis on it. But many users of this technology don't fully appreciate its many hidden dangers. In today's world of "e;grab and go algorithms,"e; part of my motivation for writing this book is to provide users with a set of cautionary tales about cluster analysis, for it is very much an art as well as a science, and it is easy to stumble if you don't understand its pitfalls. Indeed, it is easy to trip over them even if you do! The parenthetical word usually in the title is very important, because all clustering algorithms can and do fail from time to time.Modern cluster analysis has become so technically intricate that it is often hard for the beginner or the non-specialist to appreciate and understand its many hidden dangers. Here's how Yogi Berra put it, and he was right:In theory there's no difference between theory and practice. In practice, there is ~Yogi BerraThis book is a step backwards, to four classical methods for clustering in small, static data sets that have all withstood the tests of time. The youngest of the four methods is now almost 50 years old:Gaussian Mixture Decomposition (GMD, 1898)SAHN Clustering (principally single linkage (SL, 1909))Hard c-means (HCM, 1956, also widely known as (aka) "e;k-means"e;)Fuzzy c-means (FCM, 1973, reduces to HCM in a certain limit)The dates are the first known writing (to me, anyway) about these four models. I am (with apologies to Marvel Comics) very comfortable in calling HCM, FCM, GMD and SL the Fantastic Four.Cluster analysis is a vast topic. The overall picture in clustering is quite overwhelming, so any attempt to swim at the deep end of the pool in even a very specialized subfield requires a lot of training. But we all start out at the shallow end (or at least that's where we should start!), and this book is aimed squarely at teaching toddlers not to be afraid of the water. There is no section of this book that, if explored in real depth, cannot be expanded into its own volume. So, if your needs are for an in-depth treatment of all the latest developments in any topic in this volume, the best I can do - what I will try to do anyway - is lead you to the pool, and show you where to jump in.

This book presents the different results of the DESERVE project concerning the ADAS development platform, test case functions, and validation and evaluation of different approaches.

The main objective of CI is to develop intelligent machines to provide solutions to real world problems, which are not modelled or too difficult to model mathematically. This book aims to cover the recent advances in time series and applications of CI for time series analysis.

Starting with the historical evolution of computer and communications networks and their security, the book then arrives at the main definitions of cryptography and network security. Next, the basics of information theory, how to measure information, the information associated with a certain source are also discussed. Source codes are presented, along with the concepts of information transmission, joint information, conditional entropy, mutual information and channel capacity. Computer networks are discussed, including the main protocols and network architectures, and the important TCP/IP protocol. Network security, a topic intrinsically connected to computer networks and the Internet, is presented, along with information about basic hacker attacks, alternatives to prevent attacks, data protection and secure protocols. The information theoretical aspects of cryptography are described including the hash function. An appendix includes a review of probability theory. Illustrations and graphics will help the reader understand the theory.

Generative AI is transforming the landscape of numerous industries, and the creative fields are no exception. As the figurative arts become a focal point in the ongoing debate, this book explores hybrid and centauric intelligence¿an integration of human and artificial intelligence. Through parallel and complementary directions, it investigates the general concept of this hybrid intelligence and its specific application in the artistic realm, highlighting the unprecedented creativity and innovation that can emerge from this synergy. Additionally, it addresses the economic tensions and legal disputes, particularly around copyright, that arise from the impact of new technologies in the creative sector.The result is a comprehensive overview of the hybridization paradigm by analyzing the operational and creative methods of artists and creators who have embraced generative AI. The author examines the implications of the recent developments, offering readers an understanding of how AI can support human creativity rather than replace it. Thus, a compelling vision of the future unfolds, one in which artists and AI collaborate, pushing the boundaries of what is artistically achievable.Whether you are a seasoned professional looking to incorporate AI into your creative process or a curious reader intrigued by the convergence of art and technology, the book will provide valuable insights and inspire you to explore the fascinating intersection of human creativity and artificial intelligence and the future it heralds for the art world.

This book gives a complete introduction to cybersecurity and its many subdomains. It¿s unique by covering both technical and governance aspects of cybersecurity and iseasy to read with 150 full color figures. There are also exercises and study cases at the end of each chapter, with additional material on the book's website.The numerous high-profile cyberattacks being reported in the press clearly show that cyberthreats cause serious business risks. For this reason, cybersecurity has become a critical concern for global politics, national security, organizations as well for individual citizens. While cybersecurity has traditionally been a technological discipline, the field has grown so large and complex that proper governance of cybersecurity is needed.The primary audience for this book is advanced level students in computer science focusing on cybersecurity and cyber risk governance. The digital transformation of society also makes cybersecurity relevant in many other disciplines, hence this book is a useful resource for other disciplines, such as law, business management and political science. Additionally, this book is for anyone in the private or public sector, who wants to acquire or update their knowledge about cybersecurity both from a technological and governance perspective.

A conversation-changing book for parents and anyone anxious about the impact of devices on our children

The role of a software engineer goes well beyond writing code. In many companies, large or small, engineers often need to understand unfamiliar business rules, and then coordinate with multiple groups to ship software within a tight schedule. Although the skills required to perform this job effectively can be hidden within one's years of experience, learning from mistakes, peer guidance, and available resources, are critical to success.This book summarizes the skills and practices effective engineers should leverage to excel at their job. A chapter is dedicated to each of the four main pillars that form a successful engineering career: Self-Management, Technical Discipline, Risk Management, and Strategic Teamwork. Topics covered within each pillar include insights and tips on how to enhance your career simply by making small changes in the way you work.Based on a collection of mentorship sessions from author Filipe Ximenes, Strategic Software Engineering will empower you to maximize the impact of your work.You will: Master skills beyond writing code to achieve career goals. Make your day-to day work more impactful through meaningful changes. Identify, mitigate, and manage risk. Leverage teamwork and collaboration to build successful products.

Open source accounts for approximately 90 percent of modern software development, yet the demand for such technology skills continues to grow. Consequently, companies are having a difficult time hiring the right talent. Based on author Arun Gupta's experiences with leading companies such as Apple, Amazon, Sun Microsystems, and Intel this book highlights the importance of an open source culture and shares proven techniques by which one can be built and nurtured.Many open source code maintainers feel there is a need for an open source culture in their company so that business needs can be met more efficiently. This book explains why it is important to have a business alignment with open source and the purpose of an Open Source Program Office. It will explain the value of InnerSource, internal events and leveraging external open source communities in building an active workplace culture.Fostering Open Source Culture is packed with over 40 industry case studies and actionable steps organizations, both large and small, can take to have a fully functioning open source work culture.You will: Understand the key principles of open source and the benefits of FOSS software Examine proven techniques that can be used to foster an open source culture within an enterprise and is directly tied to your business objectives Review exclusive case studies from a wide range of enterprises on how they foster open source culture

As leaders plan to make significant investments to harness the power of foundational models such as ChatGPT, they need to understand the changes in organizational behaviors required for the successful implementation of such systems. The size, complexity and nature of this new wave of technologies requires a refresh in roles and responsibilities in conventional IT organizations. This book reveals practical and no-nonsense guidance on how to leverage generative AI to transform your business processes and organizational structures to achieve breakthroughs in efficiency, effectiveness and competitive advantage.You'll review the key changes in current state roles and responsibilities that are required to successfully deploy generative AI systems. You'll also see how to combat financial, regulatory, and operational risks created by organizational behavioral issues that arise when organizations build and deploy large language models. Then compare the strategic differences in emerging versus traditional organizational behaviors, incentives, roles and responsibilitiesWritten in a lively, engaging, and often humorous style, this work provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies. If you're looking to understand how large language foundation models such as ChatGPT are reshaping managerial roles and organizational structures, and how they can leverage this knowledge to survive and thrive in this brave new world then Organizing for Generative AI and the Productivity Revolution is the book for you.

Create a professional looking app from start to finish that takes advantageof iCloud technology. Rather than working with Storyboarding for buildingyour UI, you'll use code to build professional looking screens. Using code isstandard for professional developers to fit form factor alignment acrossmultiple screen sizes and other design constraints.First, you'll build a basic, functional UX screen. Then you'll incorporateiCloud with CloudKit for data persistence and private, public, and shareddatabases. Here your code-drive UI design will expand out to developingprofessional looking screens with animation. You'll also learn to workwith reminder and notification boxes, sharing data between your users, andadding functionally for interaction with other Apps. Finally, you'll tackletesting and using Test Flight before publishing your app to the App Store.This book offers a practical guide for coders at any level who want to learnand create professional looking iOS apps leveraging the database featuresof iCloud and the numerous extensions that Apple provides in the Xcodeenvironment. Create professional looking apps that are secure and yourusers will love!This is the second version of App Development using iOS iCloud, which offers comprehensive coverage of iOS 17's changes, empowering you to create efficient, user-friendly applications. Build cutting-edge iOS apps with the latest iCloud features! What You'll Learn·Build a real-world chat app to solidify your learning and discover the power of push notifications·Leverage iOS 17's new features·Master iCloud database operations

This book helps you explore the fusion of artificial intelligence with the world of online retail, providing an in-depth understanding of how AI technologies are revolutionizing ecommerce. From decoding ecommerce business models to optimizing efficiency in ecommerce deliveries, each chapter delves into a specific aspect of AI-powered ecommerce, providing practical insights and strategies for success.The journey commences with decoding ecommerce business models in a diverse landscape. From direct selling to marketplace platforms, the book illuminates the inner workings of each model, exploring revenue drivers, cost considerations, and the components of profitability. As you progress through the book, it delves deeper into the ecommerce platform itself, exploring its role in facilitating transactions and nurturing customer relationships. Subsequent chapters delve into the intricacies of merchandising in ecommerce, search, recommendation engines, ranking algorithms, personalization techniques, and efficiency improvements. From teaching the science behind matching queries to products to crafting personalized customer experiences, each chapter offers invaluable insights and actionable strategies for leveraging AI in ecommerce.Whether you're a seasoned ecommerce professional or a newcomer, this book equips you with the knowledge and actionable use cases needed to stay ahead of the curve in an increasingly competitive landscape.What You Will Learn Understand the buyer and seller aspects of ecommerce platforms and how they engage customers Know the diverse landscape of ecommerce business models Apply AI/ML technologies to ecommerce to enhance user experience and drive business outcomes Know how AI/ML can influence revenue generation and cost optimization in ecommerce businesses

This revamped and updated book focuses on the latest in AI technology-Generative AI. It builds on the first edition by moving away from traditional data science into the area of applied AI using the latest breakthroughs in Generative AI.Based on real-world projects, this edition takes a deep look into new concepts and approaches such as Prompt Engineering, testing and grounding of Large Language Models, fine tuning, and implementing new solution architectures such as Retrieval Augmented Generation (RAG). You will learn about new embedded AI technologies in Search, such as Semantic and Vector Search.Written with a view on how to implement Generative AI in software, this book contains examples and sample code.In addition to traditional Data Science experimentation in Azure Machine Learning (AML) that was covered in the first edition, the authors cover new tools such as Azure AI Studio, specifically for testing and experimentation with Generative AI models. What's New in this Book Provides new concepts, tools, and technologies such as Large and Small Language Models, Semantic Kernel, and Automatic Function Calling Takes a deeper dive into using Azure AI Studio for RAG and Prompt Engineering design Includes new and updated case studies  for Azure OpenAI Teaches about Copilots, plugins, and agents What You'll Learn Get up to date on the important technical aspects of Large Language Models, based on Azure OpenAI as the reference platform Know about the different types of models: GPT3.5 Turbo, GPT4, GPT4o, Codex, DALL-E, and Small Language Models such as Phi-3 Develop new skills such as Prompt Engineering and fine tuning of Large/Small Language Models Understand and implement new architectures such as RAG and Automatic Function Calling Understand approaches for implementing Generative AI using LangChain and Semantic Kernel See how real-world projects help you identify great candidates for Applied AI projects, including Large/Small Language Models

Explore the world of Generative AI and understand why it matters. This book is divided into two parts, introducing tools such as ChatGPT, DALL-E, and will show you how to use them to build AI-powered web apps.The first part of the book describes Generative AI and covers the essential models and APIs from OpenAI. Legal, ethical, and security considerations are discussed to help you decide whether it is an appropriate tool for your projects. You'll then review ChatGPT and see how to use it effectively for generating code. This is followed by a review of best practices, and tips and techniques for getting around the limitations of ChatGPT and other OpenAI APIs.The second part of the book provides practical guide to building a series of web apps with Next.js that showcase how to use the OpenAI APIs. For example, you'll learn how to build a Story/Poetry generator, a language learning app, and a blog site with a custom Chatbot widget. The code for the web apps is generated using ChatGPT.When done with this book, you'll have a clear understanding of Generative AI and be well on your way to building web applications powered by OpenAI APIs and Next.js.You will: Assess the legal, ethical, and security concerns with using Generative AI in web applications  Review the latest APIs provided by OpenAI for generating text and image Use ChatGPT to generate code for web projects, as well as tips and tricks to working around the limitations.

Follow the quality engineering journey of the Creditcoin blockchain across four distinct implementation versions and a myriad of technologies. Through the eyes of a test engineer, this book discusses testing implementations with the Hyperledger Sawtooth and Substrate frameworks, testing switch from proof-of-work to proof-of-stake consensus algorithm, and testing an Ethereum Virtual Machine compatibility layer.You'll traverse several years of fast-paced multiple blockchain implementations and technological changes including an explanation of all major components involved, and the approach taken. You'll also look at examples of test automation approaches and tools, interesting bugs, and testing challenges.Most everything discussed in Testing the Creditcoin Blockchain is open source, ensuring easy access, and multiple references to source code and GitHub are included throughout.You will: Study the many of the components of a distributed blockchain network.   See how components work and where testing can be plugged into a distributed blockchain network environment. Glimpse into the daily blockchain testing activities of a principal test engineer. Become familiar with a fast-paced technical software development project. Takes a deep dive into .NET memory management.

In today's digital landscape, safeguarding sensitive information is paramount. This book offers a comprehensive roadmap for managing and mitigating the impact of security incidents and data breaches. This essential guide goes beyond the basics, providing expert insights and strategies to help organizations of all sizes navigate the complexities of cybersecurity.With seven in-depth chapters and 10 appendices, this book covers everything from defining information security incidents and data breaches to understanding key privacy regulations such as GDPR and LGPD. You'll learn a practical, step-by-step approach to incident response, including how to assess and improve your organization's security posture.The book contains a well-tested and practical information security incident and breach management approach to manage information security incidents and data privacy breaches in four phases: Security and Breach Obligations and Requirements Comprehension; Security and Privacy Framework Assurance; Security Incident and Data Breach Response Management; and Security and Breach Response Process Evaluation. Knowing how to handle such security and breach issues will avoid compliance and sanctions to organizations of all types and protect the company's reputation and brand name.What You Will Learn Identify and manage information security incidents and data breaches more effectively Understand the importance of incident response in avoiding compliance issues, sanctions, and reputational damage Review case studies and examples that illustrate best practices and common pitfalls in incident response and data breach management Benefit from a well-tested approach that goes beyond the NIST 800-61 standard, aligning with the international information security standard ISO 27001:2022

LEGO 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 Learn How 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 creations Learn 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.

This book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code.The book begins by explaining data analytics and transformation, delving into the Pandas library, its capabilities, and nuances. It then explores emerging libraries such as Polars and CuDF, providing insights into GPU-based computing and cutting-edge data manipulation techniques. The text discusses the importance of data validation in engineering processes, introducing tools such as Great Expectations and Pandera to ensure data quality and reliability. The book delves into API design and development, with a specific focus on leveraging the power of FastAPI. It covers authentication, authorization, and real-world applications, enabling you to construct efficient and secure APIs using FastAPI. Also explored is concurrency in data engineering, examining Dask's capabilities from basic setup to crafting advanced machine learning pipelines. The book includes development and delivery of data engineering pipelines using leading cloud platforms such as AWS, Google Cloud, and Microsoft Azure. The concluding chapters concentrate on real-time and streaming data engineering pipelines, emphasizing Apache Kafka and workflow orchestration in data engineering. Workflow tools such as Airflow and Prefect are introduced to seamlessly manage and automate complex data workflows.What sets this book apart is its blend of theoretical knowledge and practical application, a structured path from basic to advanced concepts, and insights into using state-of-the-art tools. With this book, you gain access to cutting-edge techniques and insights that are reshaping the industry. This book is not just an educational tool. It is a career catalyst, and an investment in your future as a data engineering expert, poised to meet the challenges of today's data-driven world. What You Will Learn Elevate your data wrangling jobs by utilizing the power of both CPU and GPU computing, and learn to process data using Pandas 2.0, Polars, and CuDF at unprecedented speeds Design data validation pipelines, construct efficient data service APIs, develop real-time streaming pipelines and master the art of workflow orchestration to streamline your engineering projects Leverage concurrent programming to develop machine learning pipelines and get hands-on experience in development and deployment of machine learning pipelines across AWS, GCP, and Azure Who This Book Is ForData analysts, data engineers, data scientists, machine learning engineers, and MLOps specialists

Software leaders, directors, and managers of all types need to know about software testing. It can be a tough climb up the mountain of technical jargon. Engineers seem to be speaking a language all their own sometimes. Most books on testing are deep in the weeds with technical terms and techniques that simply aren¿t applicable even to technical managers. This book provides a high-level perspective on broad topics in a friendly, easy-to-absorb style. Get started and up to speed quickly with immediately useful, actionable guidance. Guidance on team structure, best practices and even common pitfalls will save you time and money, while automation and code reuse will provide exponential value.There¿s a gap of knowledge between engineers and their managers; they are almost speaking different languages and the jargon can be confusing. There¿s a lot to know about the world of testing. Test from the Top delivers quick, concise guidance to bridge the gap! It offers clear, actionable steps and is a must have for busy leaders who need quick answers.What You Will Learn:How and where to integrate testing in the software development lifecycleTesting terminology and concepts from a management perspectiveCommon pitfalls of testing, how to avoid wasted timeHow to hire test-aware teamsThe value in reusing test code for more generalized automationWho This Book is for:Software managers, Lead Software Engineers, Tech Directors, CTOs, Project Managers, software leaders of all kinds. These leaders understand the value of testing, but have not yet built out extensive automation or team structure. Either new to testing concepts or modernizing systems or looking to improve software quality. Assumed to have a working knowledge of the Software Development Lifecycle and basic project management (no specific methodology required).

This book delves into a broad spectrum of topics, covering the foundational aspects of Large Language Models (LLMs) such as PaLM, LLaMA, BERT, and GPT, among others.The book takes you through the complexities involved in creating and deploying applications based on LLMs, providing you with an in-depth understanding of the model architecture. You will explore techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG). The book also addresses different ways to evaluate LLM outputs and discusses the benefits and limitations of large models. The book focuses on the tools, techniques, and methods essential for developing Large Language Models. It includes hands-on examples and tips to guide you in building applications using the latest technology in Natural Language Processing (NLP). It presents a roadmap to assist you in navigating challenges related to constructing and deploying LLM-based applications.By the end of the book, you will understand LLMs and build applications with use cases that align with emerging business needs and address various problems in the realm of language processing.What You Will Learn Be able to answer the question: What are Large Language Models? Understand techniques such as prompt engineering, fine-tuning, RAG, and vector databases Know the best practices for effective implementation Know the metrics and frameworks essential for evaluating the performance of Large Language ModelsWho This Book Is ForAn essential resource for AI-ML developers and enthusiasts eager to acquire practical, hands-on experience in this domain; also applies to individuals seeking a technical understanding of Large Language Models (LLMs) and those aiming to build applications using LLMs

Spring Boot helps developers create applications that simply run. When minimal configuration is required to start up an application, even novice Java developers are ready to start. But this simplicity shouldn't constrain developers in addressing more complex enterprise requirements where microservice architecture is concerned. With the need to rapidly deploy, patch, or scale applications, containers provide solutions which can accelerate development, testing as well as production cycles. The cloud helps companies to scale and adapt at speed, accelerate innovation and drive business agility, without heavy upfront IT investment. What if we can equip even a novice developer with all that is required to help enterprises achieve all of this, this book does this and more.Java Microservices and Containers in the Cloud offers a comprehensive guide to both architecture and programming aspects to Java microservices development, providing a fully hands-on experience. We not only describe various architecture patterns but also provide practical implementations of each pattern through code examples. Despite the focus on architecture, this book is designed to be accessible to novice developers with only basic programming skills, such as writing a "Hello World" program and using Maven to compile and run Java code. It ensures that even such readers can easily comprehend, deploy, and execute the code samples provided in the book. Regardless of your current knowledge or lack thereof in Docker, Kubernetes, and Cloud technologies, this book will empower you to develop programming skills in these areas.There is no restriction on beginners attempting to understand serious and non-trivial architecture constraints. While mastering concurrency and scalability techniques often requires years of experience, this book promises to empower you to write microservices, as well as how to containerize and deploy them in the cloud. If you are a non-programming manager who is not afraid to read code snippets, this book will empower you to navigate the challenges posed by seasoned architects. It will equip you with the necessary understanding of specialized jargon, enabling you to engage in more meaningful discussions and break through barriers when collaborating with programmers, architects and engineers across the table.The code examples provided in the book are intentionally designed to be simple and accessible to all, regardless of your programming background. Even if you are a C# or Python programmer and not familiar with Java, you will find the code examples easy to follow and understand.You will Acquire proficiency in both RPC-style and Messaging-style inter-microservice communication Construct microservices utilizing a combination of SQL (PostgreSQL) and NoSQL (MongoDB) databases Leverage Liquibase, a database schema version control tool, and administer UI in conjunction with PostgreSQL Leverage both GraphQL and conventional REST approaches side by side Gain practical experience in implementing Hexagonal and Onion Architectures through hands-on exercises Integrate asynchronous processing into your Java applications using powerful APIs such as DeferredResult and CompletableFutureWho it's for: Developers, programmers and Architects who want to level up their Java Micoservices and Archtecture knowledge as well as managers who want to brush up on their technical knowledge around the topic.

The advent of Internet of Things (IoT) has paved the way for sensing the environment and smartly responding. This can be further improved by enabling intelligence to the system with the support of machine learning and deep learning techniques. This book describes learning algorithms that can be applied to IoT-based, real-time applications and improve the utilization of data collected and the overall performance of the system.Many societal challenges and problems can be resolved using a better amalgamation of IoT and learning algorithms. "Smartness" is the buzzword that is realized only with the help of learning algorithms. In addition, it supports researchers with code snippets that focus on the implementation and performance of learning algorithms on IoT based applications such as healthcare, agriculture, transportation, etc. These snippets include Python packages such as Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and more.Learning Algorithms for Internet of Things provides you with an easier way to understand the purpose and application of learning algorithms on IoT.

While most see LEGO as a toy, in reality it is much more than just that; it is a way to build a world from the brick up. Although LEGO might have playsets, it is the LEGO enthusiasts that can really make miniature worlds of wonder. This book is for those that want to create something massive and learn how to replicate the real (or imagined) world in LEGO.You'll start with an introductory view of LEGO and review a collection of projects that can be built with a small budget. You'll then decide what to build so the dream can be given form and apply the techniques used to create something that can stand strong. Once the basic model is built, instructions are given on how to bring it to life with details. Ultimate LEGO Worldbuilding and Architecture will allow Lego enthusiasts and amateurs to take their dreams, whatever they may be, and bring them to life in the easiest and most cost-effective way.What You'll Learn Grasp LEGO basics  Create your instructions for big builds Construct a solid architectural foundation Build expediently on a budget

Dive into the intricacies of biotech and IoT integration with a meticulously crafted journey through the chapters. This book unveils the synergies between lab-based biotech processes and cloud-connected technologies, promising a paradigm shift in healthcare, agriculture, and beyond.Beginning with an introduction to IoT applications and biotechnological principles, the book navigates historical developments and convergence. Chapters unfold transformation of laboratories into smart spaces, revolutionizing healthcare through remote patient monitoring and personalized medicine. Explore the world of IoT-enabled biomedical devices and their impact, while delving into data management, security challenges, and ethical considerations. The narrative extends to precision agriculture, environmental monitoring, and synergy of biometric security systems with wearable devices. Bioinformatics and cloud analytics take center stage, unraveling their role in the biotech IoT landscape. Finally, gaze into the future, anticipating trends, innovations, and global collaborations, concluding with practical insights for professionals and enthusiasts alike.On completion, you will emerge from this enlightening journey equipped with a deep understanding of the transformative power at the intersection of biotechnology and IoT. Gain insights into the historical context, current applications, and future trends shaping the landscape. Armed with a wealth of technical knowledge, readers will navigate smart laboratories, healthcare revolutions, environmental interventions, and more. This book not only opens doors to the intricacies of biotech IoT but also provides practical guidance for navigating the evolving field.What You Will Learn Understand the core principles of IoT and its versatile applications across various fields Review the integration of IoT in laboratories, witnessing the metamorphosis of traditional labs into intelligent, connected spaces Explore real-world applications of IoT in healthcare, agriculture, and environmental monitoringWho This Book Is ForProfessionals in healthcare, agriculture, or laboratory settings with a foundational knowledge of biotechnology or IoT looking to deepen their understanding of how these technologies converge and impact their respective industries would greatly benefit from this book.

Biometrics are used in many situations of our daily lives, but we still don't fully understand the way they work and what potential lies behind them. This book covers a fascinating and broad area that impacts everyone, not only companies involved in deep-tech. Over the past decades, biometrics have made their way into our daily lives after being first limited to science fiction and later expensive high-tech applications. With the widespread use of smartphones and other technological gadgets we interact with on a daily basis, the ability to collect and use biometric signals has become ubiquitous. This book provides a comprehensive overview of the type of biometric signals that are being used, how they are implemented, and what their limitations are. With technology being more relevant in all aspects of life, it's more important for people who make decisions in their business to understand the opportunities and limitations of biometric use. This book will guide the readerthrough the history of biometric technology, including initial applications of the technology, and reflect on how pop culture like science fiction media has influenced the way we look at biometrics and shaped our expectations and fears. It also covers real-world applications and how they work. This book provides foundational information that will help readers understand how they can use biometrics in their everyday life and assess their ability to disrupt existing business processes and models. What You Will Learn: How Biometrics have evolved over time and the main drivers for them being disruptive. The scope and limitations of various types of biometrics. Foundational knowledge to lead the conversation about biometrics within your company. An analysis of BMD sources that remain stable over time. Develop an analytical understanding of accuracy, precision and errors and understand how the various uses of BMD rate within these contexts. Who This Book Is for: This book is aimed at people who have an interest in technology, but perhaps aren't very technical themselves. It focuses on business leaders, product managers, product designers, etc. who want to understand the opportunities biometrics offer to their customers and how to implement them in a useful and effective way.

DESCRIPTION Azure API Management is a powerful platform that facilitates developers and organizations to create, manage, and secure APIs. This book will guide you through the entire API lifecycle, from designing and developing APIs to publishing, managing, and securing them.This guide to Azure API Management offers a detailed exploration of the platform, covering everything from basic concepts to advanced features. It teaches you how to create, manage, and secure APIs, including topics like API products, subscriptions, versions, policies, security, and user management. Filled with practical examples and hands-on exercises, it is perfect for developers and IT professionals aiming to build and manage reliable APIs using Azure. The step-by-step instructions and clear explanations make it easy to master Azure API Management and achieve your API development goals. With a focus on practical application, this guide goes beyond theory, giving you the tools and knowledge you need to tackle real-world challenges. By the end of this book, you will be equipped with the skills to build and manage robust APIs that drive business success, making it an essential resource for anyone working in today's API-driven landscape.WHAT YOU WILL LEARN¿ Build and deploy a simple web API in .NET Core and Azure.¿ Set up an enterprise-grade API ecosystem, scale efficiently, and manage large APIs using the infrastructure and deployment options.¿ Monitor APIs using the monitoring section's crucial insights about API performance and usage.¿ Safe updates and transparent API evolution using the versions and revisions feature.¿ Ensure secure, consistent, and efficient API behavior using policies.WHO THIS BOOK IS FORThis book is geared towards Azure developers, DevOps engineers, backend engineers, and anyone interested in building, managing, and securing APIs on the Azure platform. Whether you are a seasoned professional or just starting your journey in API management, this book provides the knowledge and skills you need to succeed.