Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes

Buy

Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities through predictive and prescriptive analysis.

The purpose of this book is to provide a gentle and instructionally organized introduction to the field of data science and machine learning, with a focus on building and deploying predictive models.

The book also provides a thorough overview of the Microsoft Azure Machine Learning service using task oriented descriptions and concrete end-to-end examples, sufficient to ensure the reader can immediately begin using this important new service. It describes all aspects of the service from data ingress to applying machine learning and evaluating the resulting model, to deploying the resulting model as a machine learning web service. Finally, this book attempts to have minimal dependencies, so that you can fairly easily pick and choose chapters to read. When dependencies do exist, they are listed at the start and end of the chapter.

The simplicity of this new service from Microsoft will help to take Data Science and Machine Learning to a much broader audience than existing products in this space. Learn how you can quickly build and deploy sophisticated predictive models as machine learning web services with the new Azure Machine Learning service from Microsoft.

What you’ll learn

  • A structured introduction to Data Science and its best practices
  • An introduction to the new Microsoft Azure Machine Learning service, explaining how to effectively build and deploy predictive models as machine learning web services
  • Practical skills such as how to solve typical predictive analytics problems like propensity modeling, churn analysis and product recommendation.
  • An introduction to the following skills: basic Data Science, the Data Mining process, frameworks for solving practical business problems with Machine Learning, and visualization with Power BI

Who this book is for

Data Scientists, Business Analysts, BI Professionals and Developers who are interested in expanding their repertoire of skill applied to machine learning and predictive analytics, as well as anyone interested in an in-depth explanation of the Microsoft Azure Machine Learning service through practical tasks and concrete applications.

The reader is assumed to have basic knowledge of statistics and data analysis, but not deep experience in data science or data mining. Advanced programming skills are not required, although some experience with R programming would prove very useful.

(HTML tags aren't allowed.)

Preparing for DB2 Near-realtime Business Intelligence
Preparing for DB2 Near-realtime Business Intelligence

In this IBM Redbook we discuss primary processes and various alternatives that prepare you in implementing a DB2 near-realtime business intelligence environment. We discuss architectural alternatives and include overviews of software products that you can use in an implementation. As a primary focus, we tested the capabilities for supporting...

Introduction to Ultra Wideband for Wireless Communications (Signals and Communication Technology)
Introduction to Ultra Wideband for Wireless Communications (Signals and Communication Technology)
Ultra Wideband (UWB) Technology is the cutting edge technology for wireless communications with a wide range of applications. In Introduction to Ultra Wideband for Wireless Communications UWB principles and technologies for wireless communications are explained clearly. Key issues such as UWB wireless channels, interference, signal...
New Perspectives on Microsoft Access 2010, Brief (New Perspectives Series)
New Perspectives on Microsoft Access 2010, Brief (New Perspectives Series)

The New Perspectives Series’ critical-thinking, problem-solving approach is the ideal way to prepare students to transcend point-and-click skills and take advantage of all that Microsoft Office 2010 has to offer.

In developing the New Perspectives Series, our goal was to create books that give students the software...


Risk-Pooling Essentials: Reducing Demand and Lead Time Uncertainty (SpringerBriefs in Business)
Risk-Pooling Essentials: Reducing Demand and Lead Time Uncertainty (SpringerBriefs in Business)

This book provides comprehensive and concise definitions of risk pooling and risk-pooling methods, a straightforward statistical explanation, and a value-chain oriented framework for analyzing risk-pooling methods. Risk pooling mitigates demand and lead time uncertainty in logistics and supply chain...

The p53 Tumor Suppressor Pathway and Cancer (Protein Reviews, Vol. 2)
The p53 Tumor Suppressor Pathway and Cancer (Protein Reviews, Vol. 2)

The current year (2004) marks the Silver Anniversary of the discovery of the p53 tumor suppressor. The emerging ?eld ?rst considered p53 as a viral antigen and then as an oncogene that cooperates with activated ras in transforming primary cells in culture. Fueling the concept of p53 acting as a transforming factor, p53 expression was markedly...

Cassandra and the Poetics of Prophecy in Greek and Latin Literature
Cassandra and the Poetics of Prophecy in Greek and Latin Literature
This book explores the miscommunications of the prophet Cassandra - cursed to prophesy the truth but never to be understood until too late - in Greek and Latin poetry. Using insights from the field of translation studies, the book focuses on the dialogic interactions that take place between the articulation and the realization of Cassandra's...
©2020 LearnIT (support@pdfchm.net) - Privacy Policy