“…Coverage also includes a definition and discussion of internal risk rating systems, a practical explanation of credit risk measurement in relation to the widely-used Value-at-Risk (VaR) approach, a clear explanation of the Options Theoretic Model of credit risk, and a review of the key mitigants of credit risk. …”

“…This book—and the research on which it is based—is a very valuable tool.” —P.R.S. OBEROI, Chairman, Oberoi Hotels, Ltd. About the Book: Operating and expanding business units offshore, selling in foreign markets, and managing global supply chains are just three of the many challenges that emphasize the importance of leaders that can transcend borders. …”

“…I predict that 'making a difference people love' will embed itself in our lexicon for decades to come. -- STEPHEN M. R. COVEY, AUTHOR OF THE BESTSELLER THE SPEED OF TRUST "I recommend it to everyone, from every background, who has dreams of accomplishing great work." -- BARBARA CORCORAN, REAL ESTATE MOGUL, "SHARK" ON ABC'S SHARK TANK "We all know difference makers who, in small ways, make a profound impact on how we work and live. …”

“…Over the years he has advised such clients as Hertz, Toys "R" Us, The Federal Reserve, The Comptroller of the Currency, Hormel, and Fidelity Investments…”

“…Over the years he has advised such clients as Hertz, Toys "R" Us, The Federal Reserve, The Comptroller of the Currency, Hormel, and Fidelity Investments…”

“…I predict that 'making a difference people love' will embed itself in our lexicon for decades to come. -- STEPHEN M. R. COVEY, AUTHOR OF THE BESTSELLER THE SPEED OF TRUST "I recommend it to everyone, from every background, who has dreams of accomplishing great work." -- BARBARA CORCORAN, REAL ESTATE MOGUL, "SHARK" ON ABC'S SHARK TANK "We all know difference makers who, in small ways, make a profound impact on how we work and live. …”

“…Use the reference repository for MLFlow examples and projects: Example MLFlow Projects Learning objectives Install and configure MLflow Use the tracking UI and APIs Log metrics, parameters, tags, and artifacts Create reproducible ML projects Version, stage, and deploy models with registries Deploy models to Azure ML, SageMaker, etc Lesson 1: Introduction to MLflow Lesson Outline Overview of MLflow components Installation and configuration Tracking experiments with UI, Python, R APIs Logging metrics, params, tags, artifacts Lesson 2: MLflow Projects Lesson Outline Motivation for reproducible ML projects Creating project directories Running projects locally or on Git Customizing execution environments Lesson 3: MLflow Models Lesson Outline Packaging models and dependencies Model versioning with registries Staging and promoting model stages Deploying models to services About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. …”

“…Questa scoperta è l'evento decisivo che ha cambiato nel Novecento il volto della riflessione filosofica sulla religione (R. Otto, Eliade, Kerényi, Dumézil, W.F. Otto, Ries), che in precedenza era rimasta ancora prigioniera di considerazioni metafisiche o teologiche. …”
Sumario

Tabla de Contenidos: “…287 -- 17.4 Case Study: Algae Lab Systems 290 -- 17.5 The Future of SCADA and the Potential of the IoT 290 -- Part III DATA ANALYTICS TECHNOLOGIES 295 -- 18 Data Analysis and Machine Learning Effort in Healthcare: Organization, Limitations, and Development of an Approach 297 /Oleg Roderick, Nicholas Marko, David Sanchez and Arun Aryasomajula -- 18.1 Introduction 297 -- 18.2 Data Science Problems in Healthcare 298 -- 18.3 Qualifications and Personnel in Data Science 306 -- 18.4 Data Acquisition and Transformation 310 -- 18.5 Basic Principles of Machine Learning 316 -- 18.6 Case Study: Prediction of Rare Events on Nonspecific Data 321 -- 18.7 Final Remarks 324 -- 19 Data Analytics and Predictive Analytics in the Era of Big Data 329 /Amy Shi-Nash and David R. Hardoon -- 19.1 Data Analytics and Predictive Analytics 329 -- 19.2 Big Data and Impact to Analytics 334 -- 19.3 Conclusion 343 -- 20 Strategy Development and Big Data Analytics 347 /Neil Fraser -- 20.1 Introduction 347 -- 20.2 Maximizing the Influence of Internal Inputs for Strategy Development 348 -- 20.3 A Higher Education Case Study 352 -- 20.4 Maximizing the Influence of External Inputs for Strategy Development 356 -- 20.5 Conclusion 363 -- 21 Risk Modeling and Data Science 365 /Joshua Frank -- 21.1 Introduction 365 -- 21.2 What is Risk Modeling 365 -- 21.3 The Role of Data Science in Risk Management 366.…”

“…Los resultados indican que la esterilización de los residuos sólidos, llega a establecer la conclusión; el análisis de varianza (ANOVA), luego de la esterilización, muestra un valor de la “F” calculada de 585,89, siendo esta superior al valor crítico de 1,85, demostrando que las medias o promedios son diferentes y significativas por el valor de 0,000, la Prueba de correlación de R de Pearson, muestra un valor de 0,996 la que indica una relación directa y casi perfecta y la prueba “t” muestra diferencias significativas entre las medias cuya reducción es de 0,86083, en promedio por día, se concluye que la esterilización mejora significativamente el manejo de los factores ambientales en el área Quirófano de dicho hospital…”

“…Este itinerario cumple los criterios que, desde los años 80, estableció el grupo de expertos del que formaban parte P. Caucci, R. Plötz, M. Díaz y Díaz, K. Köster o R. de la Coste-Messelière: la existencia de un camino directo hacia una meta bien identificada, que suele dar nombre al propio itinerario; una estructura hospitalaria de acogida, densa y consolidada a lo largo del tiempo; presencia de restos arqueológicos (puentes y calzadas medievales, capillas, fuentes...) y de signos específicos (conchas, cruces...); cultos vinculados al peregrinaje; toponimia viaria y de hospitales; tradiciones locales como leyendas, milagros, etc., relacionados con la peregrinación; presencia de documentación archivística referida al camino; cartografía histórica viaria; y, muy relevante, literatura odepórica. …”

“…Ramírez, George Bush, Peter Preston, Donald Rumsfeld, Chencho Arias y Barnett R. Rubin y Pedro Martínez Montávez advierten sobre la amenaza contra las libertades civiles y sobre la configuración del nuevo orden mundial surgido de las cenizas del World Trade Center…”

“…Sin embargo, se abordan con mayor detalle los diseños de la estrategia manipulativa (experimentales, cuasiexperimentales y de caso único) y los diseños de la estrategia asociativa (comparativos, predictivos y explicativos).El material básico incluido en el texto se complementa con material adicional que se mantendrá en la sección dedicada al texto en la página web de la editorial (www.edicionespiramide.es), incluyendo la sintaxis usada para analizar un amplio rango de diseños con los programas R y SPSS…”

“…He has been a Fulbright Scholar and Ford Foundation Fellow, received the R.N. Dubey Foundation award for Lifetime Achievement in Geography, and Bhugool Bachaspati (Most Learned Geographer) award from the National Association of Indian Geographers. …”

“…Les textes réunis dans cet ouvrage ont été préparés par une délégation française pour un Colloque européen tenu en R.FA en 1984 (colloque d’Augsbourg). Cette réunion s’inscrit dans le projet de recherche des historiens européens sur “La Perception de la Puissance en Europe autour de la Seconde Guerre Mondiale" qui s’est développé entre 1982 et 1988. …”

“…Illuminating talks by 101 of the world's top Jupyter experts working at Harvard University, Continuum Analytics, UC Berkeley, DataScience.com, Bloomberg LLP, University of Pittsburgh, IBM, CUNY, Domino Data Lab, Cal Poly San Luis Obispo, Two Sigma, University of British Columbia, Civis Analytics, Columbia University, R-Brain, Lawrence Berkeley National Laboratory, Microsoft, and more. …”

“…By the end of this book, you will understand how to administer your organization's Power BI environment so deployment can be made seamless, data refreshes can run properly, and security can be fully implemented What you will learn Connect to data sources using both import and DirectQuery options Use the Query Editor to apply data transformations and data cleansing processes, including learning how to write M and R scripts Design optimized data models by designing relationships and DAX calculations Leverage built-in and custom visuals to design effective reports Use the Power BI Desktop and Power BI Service to implement Row Level Security on your model Administer a Power BI cloud tenant for your organization Deploy your Power BI Desktop files into the Power BI Report Server Who this book is for This book is for aspiring Business Intelligence professionals who want to get up and running with Microsoft Power BI. …”

“…What you will learn Understand what data science is and how SQL Server is used for big data processing Analyze incoming data with SQL queries and visualizations Create, train, and evaluate predictive models Make predictions using trained models and establish regular retraining courses Incorporate data source querying into SQL Server Enhance built-in T-SQL capabilities using SQLCLR Visualize data with Reporting Services, Power View, and Power BI Transform data with R, Python, and Azure Who this book is for Hands-On Data Science with SQL Server 2017 is intended for data scientists, data analysts, and big data professionals who want to master their skills learning SQL and its applications. …”

“…This Learning Path includes content from the following Packt products: Learn Microsoft Azure by Mohamed Wali Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein Microservices with Azure by Namit Tanasseri and Rahul Rai What you will learn Study various Azure Service Fabric application programming models Create and manage a Kubernetes cluster in Azure Kubernetes Service Use site-to-site VPN and ExpressRoute connections in your environment Design an Azure IoT app and learn to operate it in various scenarios Implement a hybrid Azure design using Azure Stack Build Azure SQL databases with Code First Migrations Integrate client applications with Web API and SignalR on Azure Implement the Azure Active Directory (Azure AD) across the entire system Who this book is for If you are an IT system architect, network admin, or a DevOps engineer who wants to implement Azure solutions for your organization, this Learning Path is for you. …”

“…What you will learn Discover the benefits of leveraging the cloud for ML and AI Use Cognitive Services APIs to build intelligent bots Build a model using canned algorithms from Microsoft and deploy it as a web service Deploy virtual machines in AI development scenarios Apply R, Python, SQL Server, and Spark in Azure Build and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlow Implement model retraining in IoT, Streaming, and Blockchain solutions Explore best practices for integrating ML and AI functions with ADLA and logic apps Who this book is for If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. …”