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Posts In Category "Data Science"

A Beginner’s Tutorial of Dimensionality Reduction

Dimensionality reduction is a process of simplifying available data, particularly useful in statistics, and hence in machine learning. That alone makes it very important, given that machine learning is probably the most rapidly growing area of computer science in recent times.  As evidence, let’s take this quote of Dave Waters (among hundreds of others) – […]

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Applying the Markov Process to Data Science

Imagine that you’re trying to predict consumer demand for your product based on the present situation. How do you do this accurately so that you are able to build your strategy around a highly probable estimate? Enter the Markov Process. The traditional approach to predictive modelling has been to base probability on the complete history […]

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