Die Wohnungswirtschaft hat eine immense Bedeutung für die deutsche Volkswirtschaft. Dieses Grundlagenwerk vermittelt den Beschäftigten in der institutionellen Wohnungswirtschaft Überblicks- und Detailwissen zu allen relevanten Feldern des Grundstücks- und Wohnungswesens. So hilft es dem Leser, dem zeitgemäßen Anforderungsprofil eines Wohnimmobilienmanagers gerecht zu werden, indem es das Management sowohl im kaufmännischen als auch im technischen und infrastrukturellen Bereich ausführlich darstellt. Die Beiträge im Teil Transaktion sind darauf ausgerichtet, dass die Leser die entscheidenden wirtschaftlichen, rechtlichen und steuerlichen Aspekte verstehen und zielgerichtet steuern.

Make sense of your data and predict the unpredictable About This Book * A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics * Apply the principles and techniques of predictive analytics to effectively interpret big data * Solve real-world analytical problems with the help of practical case studies and real-world scenarios taken from the world of healthcare, marketing, and other business domains Who This Book Is For This book is for those with a mathematical/statistics background who wish to understand the concepts, techniques, and implementation of predictive analytics to resolve complex analytical issues. Basic familiarity with a programming language of R is expected. What You Will Learn * Master the core predictive analytics algorithm which are used today in business * Learn to implement the six steps for a successful analytics project * Classify the right algorithm for your requirements * Use and apply predictive analytics to research problems in healthcare * Implement predictive analytics to retain and acquire your customers * Use text mining to understand unstructured data * Develop models on your own PC or in Spark/Hadoop environments * Implement predictive analytics products for customers In Detail This is the go-to book for anyone interested in the steps needed to develop predictive analytics solutions with examples from the world of marketing, healthcare, and retail. We'll get started with a brief history of predictive analytics and learn about different roles and functions people play within a predictive analytics project. Then, we will learn about various ways of installing R along with their pros and cons, combined with a step-by-step installation of RStudio, and a description of the best practices for organizing your projects. On completing the installation, we will begin to acquire the skills necessary to input, clean, and prepare your data for modeling. We will learn the six specific steps needed to implement and successfully deploy a predictive model starting from asking the right questions through model development and ending with deploying your predictive model into production. We will learn why collaboration is important and how agile iterative modeling cycles can increase your chances of developing and deploying the best successful model. We will continue your journey in the cloud by extending your skill set by learning about Databricks and SparkR, which allow you to develop predictive models on vast gigabytes of data. Style and Approach This book takes a practical hands-on approach wherein the algorithms will be explained with the help of real-world use cases. It is written in a well-researched academic style which is a great mix of theoretical and practical information. Code examples are supplied for both theoretical concepts as well as for the case studies. Key references and summaries will be provided at the end of each chapter so that you can explore those topics on their own.

This informative guide helps readers combine their love of movies with their desire to grow closer to God. Foremost experts on faith and film, all connected with the Reel Spirituality Institute at Fuller Seminary, explore forty leading movies from the last four decades to encourage movie lovers and small groups to reflect critically and theologically on their film choices. God in the Movies introduces and analyzes the spiritual content of top films from the 1980s through the 2010s, opening viewers up to a conversation about life, faith, and God. Following a format similar to Barsotti and Johnston's successful Finding God in the Movies, this completely new book covers different films spanning four decades. This engaging resource contains production notes and film synopses, relevant Scripture texts, theological reflection, discussion questions, film stills, recommended film clips, and more, serving as a treasure chest for hours of film viewing, discussion, and ministry. Clips from the movies referenced in each chapter are available online.