CMS Made Simple 1.6: Beginner's Guide. Create a fully functional and professional website using CMS Made Simple

Sofia Hauschildt, Ted Kulp (USD)

CMS Made Simple is a an open source content management system that allows rapid website development in a fraction of the normal time, avoiding hours of coding by providing modules and 3rd Party add-ons. With this book in hand you will be able to harness the power of this modular and extendable content management system at your fingertips.This guide for CMS Made Simple is based on practical and working solutions allowing you to understand how this powerful and simple application can support you in your daily work. The workshop helps you create engaging, effective, and easy-to-use CMS websites for businesses, clubs, or organizations.This is a step- by-step case study, aimed at helping you build a complete professional website with CMS Made Simple. You can take a ready-to-use template or implement your own custom design, enrich the website with features like a photo gallery, an e-commerce solution with PayPal checkout, and forms of any complexity or popular JQuery effects and finish it off by optimizing it for search engines. The useful HTML and CSS code snippets are optimized and can be easily adapted for your own projects. Chapter by chapter you will put yourself in the role of web designer, developer, administrator, and business manager, thus learning every aspect needed for building rich websites that are very simple to manage.

Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

Vijaya Kumar Suda

Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today’s data-driven world, mastering data labeling is not just an advantage, it’s a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution.With this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively.By the end of this book, you’ll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data.

Managing IaaS and DBaaS Clouds with Oracle Enterprise Manager Cloud Control 12c. Setting up a cloud environment is rarely smooth sailing but with this guide to Oracle Enterprise Manager Cloud Control, it just got a lot more manageable. Practical advice and lots of examples make it the ideal assistant

Ved Antani

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.

OpenJDK Cookbook. Over 80 recipes to build and extend your very own version of Java platform using OpenJDK project

Alex Kasko, Alexey Kashchenko, Alexey Mironchenko, Stanislav Kobylyanskiy

Responsible AI in the Enterprise. Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI

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.

JIRA Essentials. Use the features of JIRA to manage projects and effectively handle bugs and software issues

Patrick Li

Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications

Aman Kedia, Mayank Rasu

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.

Mastering Adobe Photoshop Elements 2020. Supercharge your image editing using the latest features and techniques in Photoshop Elements - Second Edition

Robin Nichols

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.