August 2016

Feature Learning , Deep Learning and Machine learning

Machine learning is a very successful technology but applying it today often requires spending substantial effort hand-designing features. This is true for applications in vision, audio, and text Any machine learning algorithm performs as good as provided features are. Let’s understand this by using image classification example. When we try to classify an image into …

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A brief introduction to Outliers and Outlier Removal methods

What is an Outlier?  Simply speaking, Outlier is an observation that appears far away and diverges from an overall   pattern in a sample. Let’s take an example, we do customer profiling and find out that the average annual income of customers is $0.8 million. But, there are two customers having annual income of $4 and $4.2 …

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