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  • Book Overview & Buying Building Websites with VB.NET and DotNetNuke 4
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Building Websites with VB.NET and DotNetNuke 4

Building Websites with VB.NET and DotNetNuke 4

4 (2)
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Building Websites with VB.NET and DotNetNuke 4

Building Websites with VB.NET and DotNetNuke 4

4 (2)

Overview of this book

DotNetNuke is an open-source Content Management System and web application framework. DotNetNuke has taken the Microsoft world by storm and now at version 4, its community has grown to over 200,000 users. This book covers virtually everything you need to know to get your DotNetNuke website up and running. Concisely written and with clear explanations, this book is covers installation, administration, deployment, site creation and all of the basic built in DotNetNuke modules. For developers, chapters on the core architecture, skinning and custom modules, including coverage of the DAL+, give you the skills to customize and extend your site. The book starts off by giving you a deep understanding of working with basic DotNetNuke sites, guiding you through the features and giving you the confidence to create and manage your site. After that, you will journey to the heart of DotNetNuke, and learn about its core architecture. Always concise, relevant and practical, you will find out what makes DotNetNuke tick, and from there, you will be ready to customize DotNetNuke. Developers will enjoy the detailed walkthrough of creating a new custom modules. Special emphasis is given to the DAL+, an extended feature set of the DotNetNuke Data Access Layer (DAL). You will see how to create custom modules with the DAL+, and invigorate your module development. Web designers will enjoy the material on skinning, helping them to create a new look for their site. You will learn about creating new skins, and packaging them up for easy deployment. You will master all of this as you leap into the development of a DotNetNuke 4 site.
Table of Contents (15 chapters)
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1
Section 1 – Introduction to Graph Machine Learning
4
Section 2 – Machine Learning on Graphs
8
Section 3 – Advanced Applications of Graph Machine Learning

Summary 

In this chapter, we refreshed concepts such as graphs, nodes, and edges. We reviewed graph representation methods and explored how to visualize graphs. We also defined properties that are used to characterize networks, or parts of them.

We went through a well-known Python library to deal with graphs, networkx, and learned how to use it to apply theoretical concepts in practice.

We then ran examples and toy problems that are generally used to study the properties of networks, as well as benchmark performance and effectiveness of network algorithms. We also provided you with some useful links of repositories where network datasets can be found and downloaded, together with some tips on how to parse and process them.

In the next chapter, we will go beyond defining notions of ML on graphs. We will learn how more advanced and latent properties can be automatically found by specific ML algorithms.

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Building Websites with VB.NET and DotNetNuke 4
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