Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks

Kiyoshi Nakayama PhD, George Jeno

Federated learning (FL) is a paradigm-shifting technology in AI that enables and accelerates machine learning (ML), allowing you to work on private data. It has become a must-have solution for most enterprise industries, making it a critical part of your learning journey. This book helps you get to grips with the building blocks of FL and how the systems work and interact with each other using solid coding examples.FL is more than just aggregating collected ML models and bringing them back to the distributed agents. This book teaches you about all the essential basics of FL and shows you how to design distributed systems and learning mechanisms carefully so as to synchronize the dispersed learning processes and synthesize the locally trained ML models in a consistent manner. This way, you’ll be able to create a sustainable and resilient FL system that can constantly function in real-world operations. This book goes further than simply outlining FL's conceptual framework or theory, as is the case with the majority of research-related literature.By the end of this book, you’ll have an in-depth understanding of the FL system design and implementation basics and be able to create an FL system and applications that can be deployed to various local and cloud environments.

Generative AI Art. Unleash Your Creativity with Generative AI Art for Beginners

Oliver Theobald

The course introduces the basic concepts of artificial intelligence and its application in art, making it accessible even to those without a technical background. This foundation paves the way for exploring the nuances of effective prompt crafting, a critical skill for generating bespoke AI artwork.The course focuses on hands-on demonstrations with leading AI art software, including Craiyon and Midjourney, offering step-by-step guides to harness these tools effectively. Through practical examples, learners will understand how to navigate image prompts, masking techniques, framing, and lighting to enhance the visual appeal of their creations. The significance of navigating these elements is underscored, highlighting their role in achieving consistency and originality in AI-generated art.The course wraps up by delving into the remixing of popular art styles, the art of creating compelling text prompts, and the critical aspects of image rights, ethics, privacy, and originality in the digital art space. By concluding with recommended resources, learners are equipped to continue their journey in AI art, fueled by inspiration and a solid understanding of the field's possibilities and responsibilities.

Moodle 2.0 Course Conversion Beginner's Guide. Teachers, don’t be intimidated by e-learning! This book shows you how to take your existing course materials and transfer them quickly, effectively and – above all – easily into an e-learning course using Moodle. Absolute beginners welcome

Ian Wild, Moodle Trust

Schools, colleges and universities all over the world are installing Moodle, but many educators aren’t making much use of it. With so many features, it can be a hassle to learn – and with teachers under so much pressure day-to-day, they cannot devote much time to recreating all their lessons from scratch.This book provides the quickest way for teachers and trainers to get up and running with Moodle, by turning their familiar teaching materials into a Moodle e-learning course.This book shows how to bring your existing notes, worksheets, resources and lesson plans into Moodle quickly and easily. Instead of exploring every feature of Moodle, the book focuses on getting you started immediately – you will be turning your existing materials into Moodle courses right from the start.The book begins by showing how to turn your teaching schedule into a Moodle course, with the correct number of topics and weeks. You will then see how to convert your resources – documents, slideshows, and worksheets, into Moodle. You will learn how to format them in a way that means students will be able to read them, and along the way plenty of shortcuts to speed up the process.By the end of Chapter 3, you will already have a Moodle course that contains your learning resources in a presentable way. But the book doesn’t end there– you will also see how to use Moodle to accept and assess coursework submissions, discuss work with students, and deliver quizzes, tests, and video.Throughout the book, the focus is on getting results fast – moving teaching material online so that lessons become more effective for students, and less work for you.

Salesforce CRM - The Definitive Admin Handbook. Successfully administer Salesforce CRM and Salesforce mobile implementations with best practices and real-world scenarios

Paul Goodey

The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition

Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar

While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined.If you’re a beginner, then The Data Wrangling Workshop will help to break down the process for you. You’ll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques.This book starts by showing you how to work with data structures using Python. Through examples and activities, you’ll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you’ll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool.By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources.

Java EE 7 First Look. Discover the new features of Java EE 7 and learn to put them together to build a large-scale application

NDJOBO Armel Fabrice, Armel Fabrice NDJOBO

For several years, the development of robust, scalable, and secured applications was a headache for software companies. They had to use proprietary solutions with non-standard methods. With Java EE, many of these solutions have been standardized, simplified, adapted to the needs of the developer, and made freely available to the community. Thus, it is now possible to develop truly robust, secure, and scalable applications at a lower cost using tools such as: Eclipse, NetBeans, and GlassFish.Java EE 7 First Look is a practical guide which, through the creation of an online pre-registration website, will introduce you to the novelties of Java EE 7 and give you ideas for utilizing them.Giving you an insight on new features introduced in Java EE 7, this book begins with the objectives of Java EE 7 and then covers the new specifications added in Java EE 7. Next, you will move on to the improvements made in APIs and EJBs and how to work with them. You will also learn how to ensure that the quality of data is maintained that has been manipulated by your application and gives you the opportunity to put a small part of AOP (Aspect Oriented Programming) in action.Finally, the book will give you some ideas to realize n-tier applications using the Java EE platform and will also provide some guidance for the integration of your Java EE application to heterogeneous systems with which your application will interact.After reading Java EE 7 First Look, you'll have a good idea about the changes brought in by Java EE 7, as well as how to make the best use of these to build a large-scale application.

Mastering Xamarin.Forms. App architecture techniques for building multi-platform, native mobile apps with Xamarin.Forms 4 - Third Edition

Ed Snider, David Ortinau

Discover how to extend and build upon the components of the most recent version of Xamarin.Forms to develop an effective, robust mobile app architecture. This new edition features Xamarin.Forms 4 updates, including CollectionView and RefreshView, new coverage of client-side validation, and updates on how to implement user authentication.Mastering Xamarin.Forms, Third Edition is one of the few Xamarin books structured around the development of a simple app from start to finish, beginning with a basic Xamarin.Forms app and going step by step through several advanced topics to create a solution architecture rich with the benefits of good design patterns and best practices.This book introduces a core separation between the app's user interface and the app's business logic by applying the MVVM pattern and data binding, and then focuses on building a layer of plugin-like services that handle platform-specific utilities such as navigation and geo-location, as well as how to loosely use these services in the app with inversion of control and dependency injection. You’ll connect the app to a live web-based API and set up offline synchronization before testing the app logic through unit testing. Finally, you will learn how to add monitoring to your Xamarin.Forms projects to track crashes and analytics and gain a proactive edge on quality.

Pandas 1.x Cookbook. Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - Second Edition

Matt Harrison, Theodore Petrou

The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.