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Predictive Analytics With Microsoft Azure Machine Learning 2nd Edition

Author: Valentine Fontama
Publisher: Apress
ISBN: 1484212002
Size: 57.39 MB
Format: PDF, ePub
View: 4022
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Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommenders, propensity models, and churn and predictive maintenance models. The authors use task oriented descriptions and concrete end-to-end examples to ensure that the reader can immediately begin using this new service. The book describes all aspects of the service from data ingress to applying machine learning, evaluating the models, and deploying them as web services. Learn how you can quickly build and deploy sophisticated predictive models with the new Azure Machine Learning from Microsoft. What’s New in the Second Edition? Five new chapters have been added with practical detailed coverage of: Python Integration – a new feature announced February 2015 Data preparation and feature selection Data visualization with Power BI Recommendation engines Selling your models on Azure Marketplace

Microsoft Azure Machine Learning

Author: Sumit Mund
Publisher: Packt Publishing Ltd
ISBN: 1784398519
Size: 49.68 MB
Format: PDF, ePub, Mobi
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This book provides you with the skills necessary to get started with Azure Machine Learning to build predictive models as quickly as possible, in a very intuitive way, whether you are completely new to predictive analysis or an existing practitioner. The book starts by exploring ML Studio, the browser-based development environment, and explores the first step—data exploration and visualization. You will then build different predictive models using both supervised and unsupervised algorithms, including a simple recommender system. The focus then shifts to learning how to deploy a model to production and publishing it as an API. The book ends with a couple of case studies using all the concepts and skills you have learned throughout the book to solve real-world problems.

Microsoft Azure Essentials Azure Machine Learning

Author: Jeff Barnes
Publisher: Microsoft Press
ISBN: 073569818X
Size: 75.11 MB
Format: PDF, ePub, Docs
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Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.

Stream Analytics With Microsoft Azure

Author: Anindita Basak
Publisher: Packt Publishing Ltd
ISBN: 1788390628
Size: 75.82 MB
Format: PDF, Docs
View: 7267
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Develop and manage effective real-time streaming solutions by leveraging the power of Microsoft Azure About This Book Analyze your data from various sources using Microsoft Azure Stream Analytics Develop, manage and automate your stream analytics solution with Microsoft Azure A practical guide to real-time event processing and performing analytics on the cloud Who This Book Is For If you are looking for a resource that teaches you how to process continuous streams of data in real-time, this book is what you need. A basic understanding of the concepts in analytics is all you need to get started with this book What You Will Learn Perform real-time event processing with Azure Stream Analysis Incorporate the features of Big Data Lambda architecture pattern in real-time data processing Design a streaming pipeline for storage and batch analysis Implement data transformation and computation activities over stream of events Automate your streaming pipeline using Powershell and the .NET SDK Integrate your streaming pipeline with popular Machine Learning and Predictive Analytics modelling algorithms Monitor and troubleshoot your Azure Streaming jobs effectively In Detail Microsoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering, Stream Analytics, allows you to process and get actionable insights from different kinds of data in real-time. This book is your guide to understanding the basics of how Azure Stream Analytics works, and building your own analytics solution using its capabilities. You will start with understanding what Stream Analytics is, and why it is a popular choice for getting real-time insights from data. Then, you will be introduced to Azure Stream Analytics, and see how you can use the tools and functions in Azure to develop your own Streaming Analytics. Over the course of the book, you will be given comparative analytic guidance on using Azure Streaming with other Microsoft Data Platform resources such as Big Data Lambda Architecture integration for real time data analysis and differences of scenarios for architecture designing with Azure HDInsight Hadoop clusters with Storm or Stream Analytics. The book also shows you how you can manage, monitor, and scale your solution for optimal performance. By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data. Style and approach A comprehensive guidance on developing real-time event processing with Azure Stream Analysis

Big Data Analytics

Author: Arun K. Somani
Publisher: CRC Press
ISBN: 1315391244
Size: 54.74 MB
Format: PDF, Mobi
View: 2445
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The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Leben 3 0

Author: Max Tegmark
Publisher: Ullstein Buchverlage
ISBN: 3843716706
Size: 53.18 MB
Format: PDF, ePub
View: 249
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Die Nobelpreis-Schmiede Massachusetts Institute of Technology ist der bedeutendste technologische Think Tank der USA. Dort arbeitet Professor Max Tegmark mit den weltweit führenden Entwicklern künstlicher Intelligenz zusammen, die ihm exklusive Einblicke in ihre Labors gewähren. Die Erkenntnisse, die er daraus zieht, sind atemberaubend und zutiefst verstörend zugleich. Neigt sich die Ära der Menschen dem Ende zu? Der Physikprofessor Max Tegmark zeigt anhand der neusten Forschung, was die Menschheit erwartet. Hier eine Auswahl möglicher Szenarien: - Eroberer: Künstliche Intelligenz übernimmt die Macht und entledigt sich der Menschheit mit Methoden, die wir noch nicht einmal verstehen. - Der versklavte Gott: Die Menschen bemächtigen sich einer superintelligenten künstlichen Intelligenz und nutzen sie, um Hochtechnologien herzustellen. - Umkehr: Der technologische Fortschritt wird radikal unterbunden und wir kehren zu einer prä-technologischen Gesellschaft im Stil der Amish zurück. - Selbstzerstörung: Superintelligenz wird nicht erreicht, weil sich die Menschheit vorher nuklear oder anders selbst vernichtet. - Egalitäres Utopia: Es gibt weder Superintelligenz noch Besitz, Menschen und kybernetische Organismen existieren friedlich nebeneinander. Max Tegmark bietet kluge und fundierte Zukunftsszenarien basierend auf seinen exklusiven Einblicken in die aktuelle Forschung zur künstlichen Intelligenz.

Referenzarchitektur F R Cloudbasiertes Condition Monitoring Am Beispiel Von Verpackungsmaschinen

Author: Markus Obdenbusch
Publisher: Apprimus Wissenschaftsverlag
ISBN: 3863595815
Size: 34.86 MB
Format: PDF, Kindle
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Für die zustandsorientierte Wartung bestehen Herausforderungen für den Aufbau dafür notwendiger Verschleißmodelle im Mangel an aussagekräftigen Daten sowie dem Umstand, dass eine Rückführung von Maschinendaten aus der Produktions- in die Auslegungsphase selten stattfindet. Die Arbeit verfolgt den Ansatz, Querschnittstechnologien aus der IKT in die Produk-tionstechnik zu überführen. Dazu wird ein Cloud-Konzept in Form einer Refe-renzarchitektur und die Integration von Methoden des Machine Learnings vorge-stellt.

Microsoft Excel 2016 Microsoft Press

Author: Curtis Frye
Publisher:
ISBN: 3864918650
Size: 57.71 MB
Format: PDF, ePub, Docs
View: 4388
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Verstehen einfach gemacht! Steigern Sie Ihre Produktivität mit Excel 2016 und lernen Sie genau das, was Sie gerade im Moment benötigen. Die übersichtliche Struktur lässt Sie Lösungen sofort finden. Klare Anweisungen und viele farbige Bildschirmabbildungen zeigen Ihnen genau, wie's geht - Schritt für Schritt. • Organisieren Sie Ihre Arbeitsmappen, geben Sie schneller Daten ein und formatieren Sie sie übersichtlich. • Führen Sie Berechnungen durch und finden und korrigieren Sie Fehler. • Filtern, sortieren und kombinieren Sie Ihre Daten effizient. • Analysieren Sie Daten mit PivotTables, PivotCharts, Szenarien, Datentabellen und dem Solver. • Visualisieren Sie Daten mit Diagrammen inklusive der neuen Sunburst-, Wasserfall und Treemaps-Diagramme. • Erstellen Sie Datenmodelle und verwenden Sie sie in Business-Intelligence-Analysen. • Arbeiten Sie mit Zeitachsen, Prognosen und Visualisierungen einschließlich KPIs und PowerMap-Datenkarten. Übungsdateien zu diesem Buch finden Sie unter: http://www.dpunkt.de/excel-2016-SFS