Teaching with Google Classroom. Save time and stay organized while delivering online and in-person classes - Second Edition

Michael Zhang

Google Classroom is designed to help you manage and deliver online and in-person courses in an interactive manner. Using Google Classroom saves time organizing and communicating information to students and parents. This updated second edition of Teaching with Google Classroom covers the modern features of Google Classroom that meet the current needs of online teaching.The book is written from the high-school perspective but is applicable to teachers and educators of all age groups. If you’re new to Google Classroom or an experienced user who wants to explore more advanced methods with Google Classroom, this book is for you.With hands-on tutorials, projects, and self-assessment questions, you’ll learn how to create classes, add students to those classes, send announcements, and assign classwork. The book also demonstrates how to start an online discussion with your students. Later, you’ll discover how you can involve parents by inviting them to receive guardian emails and sharing Google Calendar with a URL. This will help them to view assignment deadlines and other important information. The book goes step by step through all the features available and examples of how best to use them to manage your classroom.By the end of this book, you’ll be able to do more with Google Classroom, managing your online or in-person school classes effectively.

Joomla! Accessibility. A quick guide to creating accessible websites with Joomla!

Joshue O Connor, Chris Davenport, Joshue O'Connor

Understanding how to create accessible websites is an essential skill these days . You may even be obliged by law to create websites that are usable by the widest audience, including people with a range of disabilities.This book looks at what accessibility is and the various reasons, such as legislative or legal, as to why you really need to understand accessibility and then create websites that can be used by everyone. This book therefore examines the diverse range of user requirements that need to be considered for humans to successfully use web technologies.If you have no experience of being around, or working with, people with disabilities then it can be very difficult to successfully design user interfaces that cover their needs. This book will show you how you can both understand some of the various needs of people with disabilities and the technology they use to interact with computers and the Web.

The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning

Alan Bernardo Palacio

One of the most valuable contributions of data science is toward helping businesses make the right decisions. Understanding this complicated confluence of two disparate worlds, as well as a fiercely competitive market, calls for all the guidance you can get.The Art of Data-Driven Business is your invaluable guide to gaining a business-driven perspective, as well as leveraging the power of machine learning (ML) to guide decision-making in your business. This book provides a common ground of discussion for several profiles within a company.You’ll begin by looking at how to use Python and its many libraries for machine learning. Experienced data scientists may want to skip this short introduction, but you’ll soon get to the meat of the book and explore the many and varied ways ML with Python can be applied to the domain of business decisions through real-world business problems that you can tackle by yourself. As you advance, you’ll gain practical insights into the value that ML can provide to your business, as well as the technical ability to apply a wide variety of tried-and-tested ML methods.By the end of this Python book, you’ll have learned the value of basing your business decisions on data-driven methodologies and have developed the Python skills needed to apply what you’ve learned in the real world.

Mastering Zabbix. Learn how to monitor your large IT environments with this one-stop, comprehensive guide to the Zabbix world

Andrea Dalle Vacche, Andrea Dalle Vacche, Stefano Kewan Lee

Network Science with Python. Explore the networks around us using network science, social network analysis, and machine learning

David Knickerbocker

Network analysis is often taught with tiny or toy data sets, leaving you with a limited scope of learning and practical usage. Network Science with Python helps you extract relevant data, draw conclusions and build networks using industry-standard – practical data sets. You’ll begin by learning the basics of natural language processing, network science, and social network analysis, then move on to programmatically building and analyzing networks. You’ll get a hands-on understanding of the data source, data extraction, interaction with it, and drawing insights from it. This is a hands-on book with theory grounding, specific technical, and mathematical details for future reference. As you progress, you’ll learn to construct and clean networks, conduct network analysis, egocentric network analysis, community detection, and use network data with machine learning. You’ll also explore network analysis concepts, from basics to an advanced level. By the end of the book, you’ll be able to identify network data and use it to extract unconventional insights to comprehend the complex world around you.

Mastering Salesforce Experience Cloud. Strategies for creating powerful customer interactions

Lillie Beiting, Rachel Rogers

Empowering your target audience to interact effortlessly with you and your product offerings is a critical aspect of business in the modern era. Users expect easy, professional digital experiences when engaging with organizations. However, creating engagement applications from scratch is challenging, and connecting user behavior with your organization’s data is even more complex. Enter Salesforce Experience Cloud sites, website portals built on the Salesforce data model that seamlessly connects your user data to your user experience. Mastering Salesforce Experience Cloud focuses on the human-centric nature of this product, beginning with a comprehensive guide on designing for your organization’s desired users and ensuring success for both internal teams and end users. After exploring the real-world applications of Experience Cloud and reviewing license models, this book provides a beginning-to-end guide to mastering the technical backend of this product, covering both out-of-the-box settings and customization techniques. By the end of this book, you’ll have gained a deep understanding of the Experience Cloud data model and customization options to create engaging, user-centric digital experiences that deliver value to your organization and stakeholders.

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS

Anubhav Singh, Rimjhim Bhadani

Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more.With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You’ll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment.By the end of this book, you’ll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android.

Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform

KNIME AG, Kathrin Melcher, Rosaria Silipo

KNIME Analytics Platform is an open source software used to create and design data science workflows. This book is a comprehensive guide to the KNIME GUI and KNIME deep learning integration, helping you build neural network models without writing any code. It’ll guide you in building simple and complex neural networks through practical and creative solutions for solving real-world data problems.Starting with an introduction to KNIME Analytics Platform, you’ll get an overview of simple feed-forward networks for solving simple classification problems on relatively small datasets. You’ll then move on to build, train, test, and deploy more complex networks, such as autoencoders, recurrent neural networks (RNNs), long short-term memory (LSTM), and convolutional neural networks (CNNs). In each chapter, depending on the network and use case, you’ll learn how to prepare data, encode incoming data, and apply best practices.By the end of this book, you’ll have learned how to design a variety of different neural architectures and will be able to train, test, and deploy the final network.