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Podcasts
Cloud computing has transformed the way that we write and deploy enterprise software. Oracle Enterprise Manager Cloud Control 12c has been designed to work with the cloud platform and reduce downtime, while improving performance and productivity. You can quickly set up, manage, and support enterprise clouds.This practical, example-oriented guide untangles many of the complexities involved in setting up a complete cloud computing platform. This book explores several methods of setting up IaaS and DBaaS using Oracle's Enterprise Manager. Step-by-step, this guide will quickly familiarize you with the most important aspects of setting up a cloud platform.This book delves deep into the complexities surrounding cloud computing and comprehensively explores the approach that you need to take to build an effective infrastructure. You will start with a step-by-step approach to building an Infrastructure as a Service (IaaS), and take an in-depth view of building a Database as a Service (DBaaS) model of cloud computing. Following on from this, you will learn how the chargeback mechanism works and how it can be configured for your needs. Next, you will also learn how to use a programmable interface to manage your cloud via APIs and web services.This guide will walk you through the various components of Oracle Enterprise Manager and will teach you how to use them efficiently. This book will also explain how you can use cloud APIs to program your cloud.
Adnan Masood, Heather Dawe, Ed Price, Dr. Ehsan Adeli
Responsible AI in the Enterprise is a comprehensive guide to implementing ethical, transparent, and compliant AI systems in an organization. With a focus on understanding key concepts of machine learning models, this book equips you with techniques and algorithms to tackle complex issues such as bias, fairness, and model governance. Throughout the book, you’ll gain an understanding of FairLearn and InterpretML, along with Google What-If Tool, ML Fairness Gym, IBM AI 360 Fairness tool, and Aequitas. You’ll uncover various aspects of responsible AI, including model interpretability, monitoring and management of model drift, and compliance recommendations. You’ll gain practical insights into using AI governance tools to ensure fairness, bias mitigation, explainability, privacy compliance, and privacy in an enterprise setting. Additionally, you’ll explore interpretability toolkits and fairness measures offered by major cloud AI providers like IBM, Amazon, Google, and Microsoft, while discovering how to use FairLearn for fairness assessment and bias mitigation. You’ll also learn to build explainable models using global and local feature summary, local surrogate model, Shapley values, anchors, and counterfactual explanations.By the end of this book, you’ll be well-equipped with tools and techniques to create transparent and accountable machine learning models.
Natural Language Processing (NLP) is the subfield in computational linguistics that enables computers to understand, process, and analyze text. This book caters to the unmet demand for hands-on training of NLP concepts and provides exposure to real-world applications along with a solid theoretical grounding.This book starts by introducing you to the field of NLP and its applications, along with the modern Python libraries that you'll use to build your NLP-powered apps. With the help of practical examples, you’ll learn how to build reasonably sophisticated NLP applications, and cover various methodologies and challenges in deploying NLP applications in the real world. You'll cover key NLP tasks such as text classification, semantic embedding, sentiment analysis, machine translation, and developing a chatbot using machine learning and deep learning techniques. The book will also help you discover how machine learning techniques play a vital role in making your linguistic apps smart. Every chapter is accompanied by examples of real-world applications to help you build impressive NLP applications of your own.By the end of this NLP book, you’ll be able to work with language data, use machine learning to identify patterns in text, and get acquainted with the advancements in NLP.
Adobe Photoshop Elements is a raster graphics editor for entry-level photographers, image editors, and hobbyists. Updated and improved to cover the latest features of Photoshop Elements 2020, this second edition includes focused coverage of Adobe's new AI-powered features that are designed to make the editing process more efficient, creative and fun.This book takes you through the complexities of image editing in easy-to-follow, bite-sized chunks, helping you to quickly recognize the editing challenge at hand and use suitable tools and techniques to overcome it. You’ll start by learning how to import, organize, manage, edit, and use your pictures in a format that’s designed for creative photography projects. Throughout this Adobe Photoshop Elements book, you'll discover how to fix different photographic problems using an extensive repertoire of commonly applied solutions. Common processes such as applying artistic effects to creative projects, custom image makeovers, processing images for social media, and other file export methods will also be covered.By the end of this book, you’ll have learned about the impressive tools available in Photoshop Elements 2020, and how it is designed not only for photographers who’d like to dip their toes into the editing world, but also for those wanting simple but effective ideas on how to expand their creativity while remaining time-efficient.
Henry Habib, Sam McKay, Paul Siegel
As artificial intelligence continues to reshape industries with OpenAI at the forefront of AI research, knowing how to create innovative applications such as chatbots, virtual assistants, content generators, and productivity enhancers is a game-changer. This book takes a practical, recipe-based approach to unlocking the power of OpenAI API to build high-performance intelligent applications in diverse industries and seamlessly integrate ChatGPT in your workflows to increase productivity.You’ll begin with the OpenAI API fundamentals, covering setup, authentication, and key parameters, and quickly progress to the different elements of the OpenAI API. Once you’ve learned how to use it effectively and tweak parameters for better results, you’ll follow advanced recipes for enhancing user experience and refining outputs. The book guides your transition from development to live application deployment, setting up the API for public use and application backend. Further, you’ll discover step-by-step recipes for building knowledge-based assistants and multi-model applications tailored to your specific needs.By the end of this book, you’ll have worked through recipes involving various OpenAI API endpoints and built a variety of intelligent applications, ready to apply this experience to building AI-powered solutions of your own.
Richard G Ellis, Richard G. Ellis
Domino is an application server that can be used as a standalone web server. As part of the Domino suite, it provides a powerful collaborative platform for the development of customized business applications. It provides enterprise-grade e-mail, messaging, and scheduling capabilities.There are many novice and moderately experienced developers who would like to enhance a Web-enabled Domino application, but to do so they need to learn the fundamentals of HTML, CSS, and JavaScript, and also how to use those technologies in the context of a Domino application. Information about how to do this is available on the Web, but the sheer volume of that information makes it very difficult for the newbie to get started.Topics and techniques presented in this book provide a comprehensive overview of all major design strategies used to Web-enable traditional Domino applications. Illustrations provide clear working examples of how HTML, CSS, and JavaScript can be incorporated into existing applications to improve both look and performance.Early chapters provide suggestions for working with users and for managing your development time and effort. Later chapters focus in detail on forms and pages, views, navigation, agents, security, performance, and troubleshooting. Examples demonstrate clearly how to incorporate HTML, CSS, and JavaScript into Domino designs. By the end of this book you will have learned what you need to know to quickly and competently tackle web application enhancement tasks.Beyond providing a good understanding, this book will continue to serve as a valuable source of ideas and techniques. This book brings together essential classic strategies and techniques used to deploy Domino applications to the Web. Chapters cover all major design elements, with a special emphasis on how to craft these elements to work well with web browsers. Many topics include alternative techniques for solving particular problems. Illustrations and examples can be used where appropriate, or they can serve as jumping off points for your own solutions.