Mastering IOT. Build modern IoT solutions that secure and monitor your IoT infrastructure

Colin Dow, Perry Lea

The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being.We’ll begin our journey with an introduction to Raspberry Pi and quickly jump right into Python programming. We’ll learn all concepts through multiple projects, and then reinforce our learnings by creating an IoT robot car. We’ll examine modern sensor systems and focus on what their power and functionality can bring to our system. We’ll also gain insight into cloud and fog architectures, including the OpenFog standards. The Learning Path will conclude by discussing three forms of prevalent attacks and ways to improve the security of our IoT infrastructure.By the end of this Learning Path, we will have traversed the entire spectrum of technologies needed to build a successful IoT system, and will have the confidence to build, secure, and monitor our IoT infrastructure.This Learning Path includes content from the following Packt products:Internet of Things Programming Projects by Colin DowInternet of Things for Architects by Perry Lea

Practical Digital Forensics. Get started with the art and science of digital forensics with this practical, hands-on guide!

Richard Boddington

Digital Forensics is a methodology which includes using various tools, techniques, and programming language. This book will get you started with digital forensics and then follow on to preparing investigation plan and preparing toolkit for investigation.In this book you will explore new and promising forensic processes and tools based on ‘disruptive technology’ that offer experienced and budding practitioners the means to regain control of their caseloads. During the course of the book, you will get to know about the technical side of digital forensics and various tools that are needed to perform digital forensics. This book will begin with giving a quick insight into the nature of digital evidence, where it is located and how it can be recovered and forensically examined to assist investigators. This book will take you through a series of chapters that look at the nature and circumstances of digital forensic examinations and explains the processes of evidence recovery and preservation from a range of digital devices, including mobile phones, and other media. This book has a range of case studies and simulations will allow you to apply the knowledge of the theory gained to real-life situations. By the end of this book you will have gained a sound insight into digital forensics and its key components.

Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python

Cuantum Technologies LLC

Generative Deep Learning with Python opens the door to the fascinating world of AI where machines create. This course begins with an introduction to deep learning, establishing the essential concepts and techniques. You will then delve into generative models, exploring their theoretical foundations and practical applications. As you progress, you will gain a deep understanding of Generative Adversarial Networks (GANs), learning how they function and how to implement them for tasks like face generation.The course's hands-on projects, such as creating GANs for face generation and using Variational Autoencoders (VAEs) for handwritten digit generation, provide practical experience that reinforces your learning. You'll also explore autoregressive models for text generation, allowing you to see the versatility of generative models across different types of data. Advanced topics will prepare you for cutting-edge developments in the field.Throughout your journey, you will gain insights into the future landscape of generative deep learning, equipping you with the skills to innovate and lead in this rapidly evolving field. By the end of the course, you will have a solid foundation in generative deep learning and be ready to apply these techniques to real-world challenges, driving advancements in AI and machine learning.

iPhone with Microsoft Exchange Server 2010: Business Integration and Deployment. A solution for integrating iPhone and iPad is built into Microsoft’s Exchange Server, and this guide will walk you through successfully deploying it to allow Apple’s devices to be used securely and effectively in your organization

Steve Goodman

With the recent boom in the smartphone market, users are demanding access to the latest consumer technology in the business, and that means you need to be able to integrate Apple's iPhone and iPad into your business in a way you can manage. Microsoft's Exchange Server provides a solution for integrating iPhone into your business and this book will show you exactly how to implement this solution.iPhone with Microsoft Exchange Server 2010: Business Integration and Deployment takes you through the basics of Apple mobile devices, and teaches you how to plan a basic, highly available Exchange environment. You will then be taught how to secure your environment, provision and manage iDevices.Have you been tasked with getting iPhones into the hands of your business executives, and need to ensure they can reliably and securely access corporate email? This book will teach you what you need to know about getting Exchange 2010 set up and then help you deploy iPhones in a secure, manageable way.Starting with the basics, you'll learn about what Apple mobile devices have to offer and how they have evolved into devices suitable for business use. If you're new to Exchange Server 2010, you'll learn the basics of Microsoft's world leading messaging suite, before learning how to plan, install and configure a highly available Exchange environment. You will also understand how to configure Office 365 and learn how both can be configured to apply policies to iPhone, iPad and the iPod Touch. You'll also learn how to configure advanced features, like certificate authentication, how to create and deploy configuration profiles for devices and how to manage your devices once they are in the hands of your users.After reading this book, you will be confident about introducing Apple mobile devices into your organization.

A Handbook of Mathematical Models with Python. Elevate your machine learning projects with NetworkX, PuLP, and linalg

Dr. Ranja Sarkar

Mathematical modeling is the art of transforming a business problem into a well-defined mathematical formulation. Its emphasis on interpretability is particularly crucial when deploying a model to support high-stake decisions in sensitive sectors like pharmaceuticals and healthcare.Through this book, you’ll gain a firm grasp of the foundational mathematics underpinning various machine learning algorithms. Equipped with this knowledge, you can modify algorithms to suit your business problem. Starting with the basic theory and concepts of mathematical modeling, you’ll explore an array of mathematical tools that will empower you to extract insights and understand the data better, which in turn will aid in making optimal, data-driven decisions. The book allows you to explore mathematical optimization and its wide range of applications, and concludes by highlighting the synergetic value derived from blending mathematical models with machine learning.Ultimately, you’ll be able to apply everything you’ve learned to choose the most fitting methodologies for the business problems you encounter.

Machine Learning with R. Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data - Fourth Edition

Brett Lantz

Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to know for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. This 10th Anniversary Edition features several new chapters that reflect the progress of machine learning in the last few years and help you build your data science skills and tackle more challenging problems, including making successful machine learning models and advanced data preparation, building better learners, and making use of big data.You'll also find this classic R data science book updated to R 4.0.0 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Whether you're looking to take your first steps with R for machine learning or making sure your skills and knowledge are up to date, this is an unmissable read that will help you find powerful new insights in your data.

Architecting Google Cloud Solutions. Learn to design robust and future-proof solutions with Google Cloud technologies

Victor Dantas

Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs.You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance.By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform.

Instant HTML5 2D Platformer. Learn how to develop a 2D HTML5 platformer that is capable of running in modern browsers

Aidan Temple

Game development has traditionally only been accessible to those with experience in computer science and access to the best or most expensive development tools. However, with the advent of technologies such as HTML5 and the ability to self-publish, web-based games such as those on Facebook and smartphones are becoming more attractive to develop than ever before. Through the use of open technologies such as HTML5, anyone with even a basic understanding of games development can begin to develop video games in their spare time and publish them to the Web or as an application for mobile devices.Instant HTML5 2D Platformer is a practical, hands-on guide that provides you with a number of clear, step-by-step, task-based exercises, which are used to discuss game development and put into practice development techniques through the use of HTML5 and JavaScript. This book looks at the creation of a 2D platform-based game using the HTML5 canvas element.Instant HTML5 2D Platformer introduces you to HTML5 canvas through a number of exercises, which show what the canvas is capable of. The book contains a number of clear, practical, hands-on tasks that incrementally build on the concepts of game creation and result in a 2D HTML5 platform-based game.By undertaking the tasks within this book, you will learn how to develop your own 2D HTML5 game framework that you can use in the creation of your own video games, not just the game developed within this book. Alongside this framework you will learn how to develop and understand 2D animation, game logic, and how to handle user input devices.