Think Logically
There are billions of stars in the galaxy and we are in the way of finding new constellations but how can we find them as there are no labels, well clustering is the solution. In order to solve unsupervised problems in machine learning, we use clustering algorithms. We can classify clustering as : Partitioned-based clustering …
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Principal component analysis (PCA) is used as a dimensionality reduction technique. When we have a lot of dimension in data it’s difficult to find the dimensions which are responsible for the results. Let us consider a scenario in which you have an army of 10,000 soldiers. How can we determine that the army will win …
Apache Spark is an open-source distributed general-purpose cluster-computing framework. Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. It was originally developed at UC Berkeley in 2009. When a cluster, or group of machines, pools the resources of many machines together allowing us to use all the cumulative resources as …
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Now a days 3d transformation is required in neuroscience in order to visualize the material, even we are proceeding towards the cosmos and try to visualize the object in a 3d space. This article is based on the visualization technique. Lets take the example of a human face. With Deep Learning we have achieved a …