Protected: Gradient Descent
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PCA Principal Component Analysis
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 …
Spark Basics
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 …
Protected: Analysis of Corona: Why Italy , Germany, what next..
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2D to 3D Transformation
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 …
KNN: K-Nearest Neighbour
This is the story of a person found at JORDAN border, the country is surrounded by 5 neighbors, so how can we find the person belong to which country. KNN plays a vital role here, KNN is a algorithm which stores the whole model, i.e. it will never make any function. It will check the …