Download Ebook Google Android Firebase: Learning the BasicsBy Bill Stonehem

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Google Android Firebase: Learning the BasicsBy Bill Stonehem

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Android Firebase is a cloud service provider as well as a backend business that allows you to obtain organized data for mobile apps. This is an important aspect as almost all mobile apps today needs user verification and updates. Firebase is easy to use and allows quick reading and writing of data even for beginners. Firebase can be used to build iOS, Android and even web- based applications with real time data and storage and makes a variety of other products that software developers can utilize.

• Amazon Sales Rank: #3389941 in Books
• Published on: 2016-06-29
• Original language: English
• Dimensions: 8.00" h x .10" w x 5.00" l, .11 pounds
• Binding: Paperback
• 40 pages

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Free PDF HISTORIA Y CRONOLOGIA DE LA CIENCIA Y LOS DESCUBRIMIENTOSBy ASIMOV ISAAC

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• Published on: 2000
• Binding: Paperback

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Download Data Analytics: Models and Algorithms for Intelligent Data AnalysisBy Thomas A. Runkler

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This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. The text is designed for undergraduate and graduate courses on data analytics for engineering, computer science, and math students. It is also suitable for practitioners working on data analytics projects. This book has been used for more than ten years in numerous courses at the Technical University of Munich, Germany, in short courses at several other universities, and in tutorials at scientific conferences. Much of the content is based on the results of industrial research and development projects at Siemens.

• Sales Rank: #1331791 in Books
• Brand: Brand: Vieweg+Teubner Verlag
• Published on: 2012-09-28
• Original language: English
• Number of items: 1
• Dimensions: 9.50" h x .20" w x 6.50" l, .50 pounds
• Binding: Paperback
• 137 pages

Features

• Used Book in Good Condition

From the Back Cover

This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in numerous courses at the Technical University of Munich, in short courses at several other universities, and in tutorials at scientific conferences. Much of the content is based on the results of industrial research and development projects at Siemens.

Content

Data Analytics - Data and Relations - Data Preprocessing - Data Visualization - Correlation - Regression - Forecasting - Classification - Clustering

Target Groups

Students of data analytics for engineering, computer science and math 

Practitioners working on data analytics projects

The Author

Thomas Runkler is doing research at Siemens Corporate Technology in Munich and teaching data analytics and machine learning at the Technical University of Munich.

About the Author
Thomas Runkler is doing research at Siemens Corporate Technology in Munich and teaching data analytics and machine learning at the Technical University of Munich.

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