Tabla de Contenidos: “…Artificial intelligence, big data and all change -- 16. Strategic organizational listening -- PART III. …”

“…Coverage includes data warehousing, big data, social media, security, cloud technologies, and future trends, with expert insight on the practical aspects of the current state of the field. …”

“…Step-by-step implementation of end-to-end big data use cases. Who This Book Is For Readers who have a basic knowledge of big data systems and want to advance their knowledge with hands-on recipes. …”

Tabla de Contenidos: “…A new type of fake news -- 6.9. Big Data -- 6.9.1. The development of Big Data analytics -- 6.10. …”

Tabla de Contenidos: “…Data stewardship and data governance : how they fit together -- Understanding the types of data stewardship -- Stewardship roles and responsibilities -- Implementing data stewardship -- Training the business data stewards -- Practical data stewardship -- The important roles of data stewards -- Measuring data stewardship progress : the metrics -- Rating your data stewardship maturity -- Big data stewardship and data leaks -- Governing and stewarding your data using data domains…”

Tabla de Contenidos: “…-- Designing big data solutions -- Data warehousing -- Data analytics -- IoT and telemetry -- Utilizing AI for intelligent solutions -- Azure Machine Learning -- Azure Cognitive Services -- Azure Bot Service -- Designing intelligent solutions -- Summary -- Chapter 10: Architecting Secure Applications on a Trusted Platform -- The Cloud Adoption Framework for Azure -- Azure security services -- Azure AD -- Managed identities and service principals -- Azure Key Vault -- Azure security policies and locks -- Azure resource locks -- How does Azure Policy work? …”

“…Nuevos conceptos, como OTT, VoD, televisión conectada, Peak TV, Binge-Watching, Big Data, audiencia social o las nuevas métricas de audiencia integrada, toman relevancia y se convierten en protagonistas del cambio. …”

“…The authors discuss the need for financial literacy and the incorporation of technologies such as AI, IoT, Big Data, and Blockchain. The book aims to educate readers on the implications of these changes for financial professionals, institutions, and the unbanked population. …”

“…This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. …”

“…Drawing on a framework of responsible research and innovation (RRI), the book explores responsible drone journalism from multiple perspectives, including new cultures of learning, flying in lower airspace, drone education and concerns about autonomous agents and big data surveillance. By widening the discussion of drone journalism, the book is ideal for journalism teachers and students, as well as politicians, lawmakers, drone developers and citizens with an interest in the responsible use of camera drones."…”

“…Examine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data. This book focuses on useful and imperative applied analytics needed to build a retail business and explains mathematical concepts essential for decision making and communication in retail business environments. …”

“…Bustling metropolises infused with the right combination of the Internet of Things, artificial intelligence, big data, and blockchain promise to improve both our daily lives and larger structural operations at a city government level. …”

“…Michelson's analysis of almost 150,000 divorce trials reveals routine and egregious violations of China's own laws upholding the freedom of divorce, gender equality, and the protection of women's physical security. Using 'big data' computational techniques to scrutinize cases covering 2009-2016 from all 252 basic-level courts in two Chinese provinces, Henan and Zhejiang, Michelson reveals that women have borne the brunt of a dramatic intensification since the mid-2000s of a decades-long practice of denying divorce requests. …”

“…Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. …”

“…Modeling and simulation, along with Big Data technologies are at the forefront of such exploration and investigation. …”

“…Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. …”

“…New models are also developed using existing ML architecture and learning theories to improve the performance of traditional ML models and handle small and big data without manual adjustments. This research-oriented book will help subsurface engineers, geophysicists, and geoscientists become familiar with data science and ML advances relevant to subsurface engineering. …”

“…Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. …”

“…Build predictive models using large data volumes and deploy them to production using cutting-edge techniques Key Features Build highly accurate state-of-the-art machine learning models against large-scale data Deploy models for batch, real-time, and streaming data in a wide variety of target production systems Explore all the new features of the H2O AI Cloud end-to-end machine learning platform Book Description H2O is an open source, fast, and scalable machine learning framework that allows you to build models using big data and then easily productionalize them in diverse enterprise environments. …”

Tabla de Contenidos: “…Cover -- FM -- Table of Contents -- Preface -- Chapter 1: Linux: History and future in the cloud -- A brief history of Linux -- Unix -- Linux -- Linux version history -- Linux evolution and distributions -- Typical Linux use cases in IT infrastructure -- Workstations -- Application servers -- Database servers -- Virtualization -- Containers -- Cloud computing -- Container orchestration -- Big data -- Challenges in on-premises infrastructure -- Cloud economics -- Scale comes with benefits -- Many services available -- Benefits of migrating to Azure -- The journey from Linux to Azure -- Clustering -- Subscription portability -- Summary -- Chapter 2: Understanding Linux distributions -- Linux licensing and open-source business models -- Open-source licenses -- Enterprise agreements -- Linux subscriptions -- Popular Linux distributions -- Linux on Azure -- Benefits of Linux on Azure -- Linux support scope -- Licensing on Azure -- Available distros -- Summary -- Chapter 3: Assessment and migration planning -- Popular workloads on Linux -- LAMP -- Database servers -- HPC, clustering, and SAP -- Shared storage -- Pre-project preparations -- Identifying relevant roles and responsibilities -- Cloud governance and operations -- Migration assessment -- Preparing a cloud migration plan -- Discovery and evaluation -- Involving key stakeholders -- Estimating the savings -- Identifying tools -- Assessing tooling -- Azure Migrate -- Service Map -- Azure TCO calculator -- Hands-on assess lab -- Prerequisites -- Setting up the Azure Migrate project -- Setting up and registering the Azure Migrate appliance -- Verifying discovered VMs in the portal -- Running an assessment -- Reviewing the assessment -- Dependency analysis -- Summary -- Chapter 4: Performing migration to Azure -- Hands-on migration lab -- Migrating servers to Azure -- Migrating databases -- Summary…”