Identity with Windows Server 2016: Microsoft 70-742 MCSA Exam Guide. Deploy, configure, and troubleshoot identity services and Group Policy in Windows Server 2016

Vladimir Stefanovic, Sasha Kranjac

MCSA: Windows Server 2016 certification is one of the most sought-after certifications for IT professionals, which includes working with Windows Server and performing administrative tasks around it. This book is aimed at the 70-742 certification and is part of Packt's three-book series on MCSA Windows Server 2016 certification, which covers Exam 70-740, Exam 70-741, and Exam 70-742.This exam guide covers the exam objectives for the 70-742 Identity with Windows Server 2016 exam. It starts with installing and configuring Active Directory Domain Services (AD DS), managing and maintaining AD DS objects and advanced configurations, configuring Group Policy, Active Directory Certificate Services, and Active Directory Federation Services and Rights Management. At the end of each chapter, convenient test questions will help you in preparing for the certification in a practical manner.By the end of this book, you will be able to develop the knowledge and skills needed to complete MCSA Exam 70-742: Identity with Windows Server 2016 with confidence.

Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data

Dipayan Dev

This book will teach you how to deploylarge-scale dataset in deep neural networks with Hadoop foroptimal performance.Starting with understanding what deeplearning is, and what the various modelsassociated with deep neural networks are, thisbook will then show you how to set up theHadoop environment for deep learning.In this book, you will also learn how toovercome the challenges that you facewhile implementing distributed deeplearning with large-scale unstructured datasets. The book willalso show you how you can implementand parallelize the widely used deep learning models such as Deep Belief Networks,Convolutional Neural Networks, Recurrent Neural Networks, Restricted Boltzmann machines and autoencoder using the popular deep learning library Deeplearning4j.Get in-depth mathematical explanationsand visual representations to helpyou understand the design and implementationsof Recurrent Neural network and Denoising Autoencoders withDeeplearning4j. To give you a morepractical perspective, the book will alsoteach you the implementation of large-scale video processing, image processing andnatural language processing on Hadoop.By the end of this book, you willknow how to deploy various deep neural networks indistributed systems using Hadoop.

Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition

Sandeep Yarabarla

Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer.The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you’ll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you’ll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client.By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications.

React Material-UI Cookbook. Build captivating user experiences using React and Material-UI

Adam Boduch

Material-UI is a component library for rendering UI elements, using modern best practices from React and Material Design. This book will show you how you can create impressive and captivating modern-day web apps by implementing Material Design considerations. The book is designed to help you use a variety of Material-UI components to enhance UI functionality, along with guiding you through React best practices, and using state, context, and other new React 16.8 features.You will start with layout and navigation, exploring the Grid component and understanding how it’s used to build layouts for your Material-UI apps. Using Material-UI components, you’ll then explore the technique of effectively presenting information. In later sections, you will also learn about the different components for user interactions such as the text input component and buttons. Finally, the book will get you up to speed with customizing the look and feel of your app, right from creating a Material-UI theme through to styling icons and text.By the end of this book, you will have developed the skills you need to improve the look and feel of your applications using Material-UI components.

Mastering C++ Programming. Modern C++ 17 at your fingertips

Jeganathan Swaminathan

C++ ? ?has ? ?come ? ?a ? ?long ? ?way ? ?and ? ?has ? ?now ? ?been ? ?adopted ? ?in ? ?several ? ?contexts. Its ? ?key ? ?strengths ? ?are ? ?its ? ?software ? ?infrastructure ? ?and ? ?resource-constrained applications. ? ?The ?C++ ? ?17 ? ?release ? ?will ? ?change ? ?the ? ?way ? ?developers ? ?write code, ? ?and ? ?this ? ?book ? ?will ? ?help ?you ? ?master ? ?your ? ?developing ? ?skills ? ?with ? ?C++. With ? ?real-world, ? ?practical ? ?examples ? ?explaining ? ?each ? ?concept, ? ?the ? ?book ? ?will begin ? ?by ? ?introducing ? ?you ? ?to ? ?the ? ?latest ? ?features ? ?in ? ?C++ ? ?17. ? ?It ? ?encourages clean ? ?code ? ?practices ? ?in ? ?C++ ? ?in ? ?general, ? ?and ? ?demonstrates ? ?the ? ?GUI app-development ? ?options ? ?in ? ?C++. ? ?You’ll ? ?get ? ?tips ? ?on ? ?avoiding ? ?memory ? ?leaks using ? ?smart-pointers. ? ?Next, ? ?you’ll ? ?see ? ?how ? ?multi-threaded ?programming can ? ?help ? ?you ? ?achieve ? ?concurrency ? ?in ? ?your ? ?applications. Moving ? ?on, ? ?you’ll ? ?get ? ?an ? ?in-depth ? ?understanding ? ?of ? ?the ? ?C++ ? ?Standard Template ? ?Library. ? ?We ? ?show ? ?you ? ?the ? ?concepts ? ?of ? ?implementing ? ?TDD ? ?and BDD ? ?in ? ?your ? ?C++ ? ?programs, ? ?and ? ?explore ? ?template-based ? ?generic programming, ? ?giving ? ?you ? ?the ? ?expertise ? ?to ? ?build ? ?powerful ? ?applications. Finally, ? ?we’ll ? ?round ? ?up ? ?with ? ?debugging ? ?techniques ? ?and ? ?best ? ?practices.By ? ?the ? ?end ? ?of ? ?the ? ?book, ? ?you’ll ? ?have ? ?an ? ?in-depth ? ?understanding ? ?of ? ?the language ? ?and ? ?its ? ?various ? ?facets.

MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence

Fernando Carlos Rivero Esqueda

MicroStrategy is an enterprise business intelligence application. It turns data into reports for making and executing key organization decisions. This book shows you how to implement Business Intelligence (BI) with MicroStrategy. It takes you from setting up and configuring MicroStrategy to security and administration.The book starts by detailing the different components of the MicroStrategy platform, and the key concepts of Metadata and Project Source. You will then install and configure MicroStrategy and lay down the foundations for building MicroStrategy BI solutions. By learning about objects and different object types, you will develop a strong understanding of the MicroStrategy Schema and Public Objects. With these MicroStrategy objects, you will enhance and scale your BI and Analytics solutions.Finally, you will learn about the administration, security, and monitoring of your BI solution.

Installing and Configuring Windows 10: 70-698 Exam Guide. Learn to deploy, configure, and monitor Windows 10 effectively to prepare for the 70-698 exam

Bekim Dauti

The Installing and Configuring Windows 10: 70-698 Exam Guide is designed to confirm what you already know, while also updating your knowledge of Windows 10. With its easy-to-follow guidance, you will quickly learn the user interface and discover steps to work efficiently in Windows 10 to rule out delays and obstacles.This book begins by covering various ways of installing Windows 10, followed by instructions on post-installation tasks. You will learn about the deployment of Windows 10 in Enterprise and also see how to configure networking in Windows 10. You’ll understand how to leverage Disk Management and Windows PowerShell to configure disks, volumes, and file system options. As you progress through the chapters, you will be able to set up remote management in Windows 10 and learn more about Windows update usage, behavior, and settings. You will also gain insights that will help you monitor and manage data recovery and explore how to configure authentication, authorization, and advanced management tools in Windows 10.By the end of this book, you will be equipped with enough knowledge to take the 70-698 exam and explore different study methods to improve your chances of passing the exam with ease.

Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python

Stefan Jansen

The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You’ll practice the ML work?ow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies.Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym.