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Moodle, the world's most popular, free open-source Learning Management System (LMS) has released several new features and enhancements in its latest 3.0 release. More and more colleges, universities, and training providers are using Moodle, which has helped revolutionize e-learning with its flexible, reusable platform and components. This book brings together step-by-step, easy-to-follow instructions to leverage the full power of Moodle 3 to build highly interactive and engaging courses that run on a wide range of platforms including mobile and cloud.Beginning with developing an effective online course, you will write learning outcomes that align with Bloom's taxonomy and list the kinds of instructional materials that will work given one's goal. You will gradually move on to setting up different types of forums for discussions and incorporating multi-media from cloud-base sources. You will then focus on developing effective timed tests, self-scoring quizzes while organizing the content, building different lessons, and incorporating assessments. Lastly, you will dive into more advanced topics such as creating interactive templates for a full course by focussing on creating each element and create workshops and portfolios which encourage engagement and collaboration
Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications.By navigating the versatile machine learning tools in the MATLAB environment, you’ll learn how to seamlessly interact with the workspace. You’ll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you’ll explore various classification and regression techniques, skillfully applying them with MATLAB functions.This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You’ll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks.By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.
Adversarial Tradecraft in Cybersecurity. Offense versus defense in real-time computer conflict
Little has been written about what to do when live hackers are on your system and running amok. Even experienced hackers tend to choke up when they realize the network defender has caught them and is zoning in on their implants in real time. This book will provide tips and tricks all along the kill chain of an attack, showing where hackers can have the upper hand in a live conflict and how defenders can outsmart them in this adversarial game of computer cat and mouse.This book contains two subsections in each chapter, specifically focusing on the offensive and defensive teams. It begins by introducing you to adversarial operations and principles of computer conflict where you will explore the core principles of deception, humanity, economy, and more about human-on-human conflicts. Additionally, you will understand everything from planning to setting up infrastructure and tooling that both sides should have in place.Throughout this book, you will learn how to gain an advantage over opponents by disappearing from what they can detect. You will further understand how to blend in, uncover other actors’ motivations and means, and learn to tamper with them to hinder their ability to detect your presence. Finally, you will learn how to gain an advantage through advanced research and thoughtfully concluding an operation.By the end of this book, you will have achieved a solid understanding of cyberattacks from both an attacker’s and a defender’s perspective.
Getting Started with Raspberry Pi Zero. Click here to enter text
Raspberry Pi Zero is half the size of Raspberry Pi A, only with twice the utility. At just three centimeters wide, it packs in every utility required for full-fledged computing tasks. This practical tutorial will help you quickly get up and running with Raspberry Pi Zero to control hardware and software and write simple programs and games. You will learn to build creative programs and exciting games with little or no programming experience. We cover all the features of Raspberry Pi Zero as you discover how to configure software and hardware, and control external devices. You will find out how to navigate your way in Raspbian, write simple Python scripts, and create simple DIY programs.
Talend Open Studio for Data Integration (TOS) is an open source graphical development environment for creating custom integrations between systems. It comes with over 600 pre-built connectors that make it quick and easy to connect databases, transform files, load data, move, copy and rename files and connect individual components in order to define complex integration processes.Getting Started with Talend Open Studio for Data Integration illustrates common uses and scenarios in a simple, practical manner and, building on knowledge as the book progresses, works towards more complex integration solutions.TOS is a code generator and so does a lot of the heavy liftingù for you. As such, it is a suitable tool for experienced developers and non-developers alike. You'll start by learning how to construct some common integrations tasks ñ transforming files and extracting data from a database, for example. These building blocks form a toolkitù of techniques that you will learn how to apply in many different situations.By the end of the book, once complex integrations will appear easy and you will be your organization's integration expert!Best of all, TOS makes integrating systems fun!
In this era of cloud computing, every data provisioning solution is built in a scalable and fail-safe way. Thus, when building RESTful services, the right choice for the underlying platform is vital. Node.js, with its asynchronous, event-driven architecture, is exactly the right choice to build RESTful APIs.This book will help you enrich your development skills to create scalable, server-side, RESTful applications based on the Node.js platform.Starting with the fundamentals of REST, you will understand why RESTful web services are better data provisioning solution than other technologies. You will start setting upa development environment by installing Node.js, Express.js, and other modules. Next, you will write a simple HTTP request handler and create and test Node.js modules using automated tests and mock objects. You will then have to choose the most appropriate data storage type, having options between a key/value or document data store, and also you will implement automated tests for it. This module will evolve chapter by chapter until it turns into a full-fledged and secure Restful service.
Tivadar Danka, Santiago Valdarrama
Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to elevate their technical expertise. With this book, you’ll explore the core disciplines of linear algebra, calculus, and probability theory essential for mastering advanced machine learning concepts. PhD mathematician turned ML engineer Tivadar Danka—known for his intuitive teaching style that has attracted 100k+ followers—guides you through complex concepts with clarity, providing the structured guidance you need to deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems. Balancing theory with application, this book offers clear explanations of mathematical constructs and their direct relevance to machine learning tasks. Through practical Python examples, you’ll learn to implement and use these ideas in real-world scenarios, such as training machine learning models with gradient descent or working with vectors, matrices, and tensors. By the end of this book, you’ll have gained the confidence to engage with advanced machine learning literature and tailor algorithms to meet specific project requirements.
Learning DocumentDB adopts a practical, step-by-step approach to help you learn the basics of DocumentDB and use your new-found abilities in real-life scenarios and enterprise solutions.We start with the absolute basics, such as setting up a DocumentDB environment, and guide you through managing your databases, and executing simple and complex queries. Next, we explain how to work with DocumentDB using the open REST protocol, and demonstrate how JavaScript works with DocumentDB. We’ll also show you how to authenticate and execute queries. Moving on, you’ll find out how to use DocumentDB from within Node.js to kick-start your Node.js projects. Next, you’ll discover how to increase the performance of your DocumentDB database and fine-tune it. Finally, you’ll get to grips with using DocumentDB in conjunction with other services offered from the Microsoft Azure platform.