In this blog we are going to see and analyze what are hybrid mobile applications at root level description and a quick introduction to start with Ionic Framework, why Ionic Framework only and not other like Famo.us, Steroids, PhoneGap, Ti and much more… that we’ll analyze soon.
But this is not the restriction of topics because in between we should be aware of Sass (scss), AngularJS and NodeJs etc, nothing to worry, i will provide the topic introduction blog links in between to run faster on track.
~So what you understand by Hybrid Mobile App–
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In this blog, we will learn how to group similar data objects using K-means clustering offered by Spark Machine Learning Library.
The code example needs only Spark Shell to execute.
What is Clustering
Clustering is like grouping data objects in some random clusters (with no initial class of group defined) on the basis of similarity or the natural closeness to each other. The “closeness” will be clear later in the blog.
The reason I chose Clustering as beginning of ML that I find it most basic algorithm which requires minimal domain knowledge about your data and produce good analytic over it. Before diving deep into terminologies, lets look at a simple problem which we are going to solve with K means algorithm.
A certain real estate firm wants to build homes targeting different buyers. The only information that firm has collected is the income and the
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Docker is an open platform for building, shipping and running distributed applications. It gives programmers, development teams and operations engineers the common toolbox they need to take advantage of the distributed and networked nature of modern applications.
The running video session of same is available here