Microsoft System Center Configuration Manager Advanced Deployment. Design, implement, and configure System Center Configuration Manager 2012 R2 with the help of real-world examples

Martyn Coupland

Cloud Identity Patterns and Strategies. Design enterprise cloud identity models with OAuth 2.0 and Azure Active Directory

Giuseppe Di Federico, Fabrizio Barcaroli

Identity is paramount for every architecture design, making it crucial for enterprise and solutions architects to understand the benefits and pitfalls of implementing identity patterns. However, information on cloud identity patterns is generally scattered across different sources and rarely approached from an architect’s perspective, and this is what Cloud Identity Patterns and Strategies aims to solve, empowering solutions architects to take an active part in implementing identity solutions.Throughout this audiobook, you’ll cover various theoretical topics along with practical examples that follow the implementation of a standard de facto identity provider (IdP) in an enterprise, such as Azure Active Directory. As you progress through the chapters, you’ll explore the different factors that contribute to an enterprise's current status quo around identities and harness modern authentication approaches to meet specific requirements of an enterprise. You’ll also be able to make sense of how modern application designs are impacted by the company’s choices and move on to recognize how a healthy organization tackles identity and critical tasks that the development teams pivot on.By the end of this audiobook, you’ll be able to breeze through creating portable, robust, and reliable applications that can interact with each other.

Blender Cycles: Materials and Textures Cookbook. Over 40 practical recipes to create stunning materials and textures using the Cycles rendering engine with Blender

Enrico Valenza

Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis

Huy Hoang Nguyen, Paul N Adams, Stuart J Miller

The ability to proficiently perform statistical modeling is a fundamental skill for data scientists and essential for businesses reliant on data insights. Building Statistical Models with Python is a comprehensive guide that will empower you to leverage mathematical and statistical principles in data assessment, understanding, and inference generation.This book not only equips you with skills to navigate the complexities of statistical modeling, but also provides practical guidance for immediate implementation through illustrative examples. Through emphasis on application and code examples, you’ll understand the concepts while gaining hands-on experience. With the help of Python and its essential libraries, you’ll explore key statistical models, including hypothesis testing, regression, time series analysis, classification, and more.By the end of this book, you’ll gain fluency in statistical modeling while harnessing the full potential of Python's rich ecosystem for data analysis.

VirtualBox 3.1: Beginner's Guide. Deploy and manage a cost-effective virtual environment using VirtualBox

Alfonso V. Romero, Alfonso Vidal Romero

The furore around virtualization is taking the technology world by storm and is a must for efficient utilization of network server capacity, storage administration, energy, and capital. VirtualBox is free and this brings down your upfront costs for an agile data center. VirtualBox will transform your IT infrastructure into a lean Data Center on a Windows XP/7 or Ubuntu Linux platform. Although VirtualBox has grown by leaps and bounds, there is not enough documentation to guide you through its features and implementation.This hands-on guide gives you a thorough introduction to this award-winning virtualization product. It will help you to implement the right virtual environment for you. Additionally, this book will help you set up an environment that will work for your system. You will learn to architect and deploy your first virtual machine without being overwhelmed by technical details.This practical book unveils the robust capabilities and easy-to-use graphical interface of VirtualBox to help you to effectively administer and use virtual machines in a home/office environment. You begin by creating your first virtual machine on a Windows/Linux guest operating system and installing guest additions. The book then goes on to discuss the various formats that VirtualBox supports and how it interacts with other formats. The comprehensive instructions will help you to work with all the networking modes offered by VirtualBox. Virtual appliances will be explained in detail—how they help to reduce installation time for virtual machines and run them from VirtualBox.By the end of this book you will be able to run your own headless VirtualBox server, to create, manage, and run virtual machines in that server from a remote PC.

Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python

Dr. Pablo Rivas, Laura Montoya

With information on the web exponentially increasing, it has become more difficult than ever to navigate through everything to find reliable content that will help you get started with deep learning. This book is designed to help you if you're a beginner looking to work on deep learning and build deep learning models from scratch, and you already have the basic mathematical and programming knowledge required to get started.The book begins with a basic overview of machine learning, guiding you through setting up popular Python frameworks. You will also understand how to prepare data by cleaning and preprocessing it for deep learning, and gradually go on to explore neural networks. A dedicated section will give you insights into the working of neural networks by helping you get hands-on with training single and multiple layers of neurons. Later, you will cover popular neural network architectures such as CNNs, RNNs, AEs, VAEs, and GANs with the help of simple examples, and learn how to build models from scratch. At the end of each chapter, you will find a question and answer section to help you test what you've learned through the course of the book.By the end of this book, you'll be well-versed with deep learning concepts and have the knowledge you need to use specific algorithms with various tools for different tasks.

Celtx: Open Source Screenwriting Beginner's Guide. Celtx won’t write your script for you, but it will ensure it has the format and features demanded by the film industry. Learn to use Celtx along with insider secrets of screenwriting and script-marketing into the bargain

Ralph Roberts, Celtx Project Paypal paypal@greyfirst.com

Designing and Prototyping Interfaces with Figma. Learn essential UX/UI design principles by creating interactive prototypes for mobile, tablet, and desktop

Fabio Staiano

A driving force of the design tools market, Figma makes it easy to work with classic design features while enabling unique innovations and opening up real-time collaboration possibilities. It comes as no surprise that many designers decide to switch from other tools to Figma.In this book, you'll be challenged to design a user interface for a responsive mobile application having researched and understood user needs. You'll become well-versed with the process in a step-by-step manner by exploring the theory first and gradually moving on to practice. You'll begin your learning journey by covering the basics of user experience research with FigJam and the process of creating a complete design using Figma tools such as Components, Variants, Auto Layout, and much more. You'll also learn how to prototype your design and explore the potential of community resources such as templates and plugins.By the end of this Figma book, you'll have a solid understanding of the user interface workflow, managing essential Figma tools, and organizing your workflow.