Machine Learing: A new trend in big data analytics

Machine Learning is the field of computer science which deals with finding patterns in the data available based on some algorithms. These algorithms are capable to deal with huge amount of data and tried to find some useful pattern or we can train the dataset according to some clustering or classification algorithm. Learning can be either supervised or unsupervised depending upon its environment.

It is having wide use in big data analytics for trend analysis, demand forecast and various other decision making activities. Apache association have a dedicated tool for machine learning i.e. Mahout.


Apache Mahout is an open source tool which enables to work on various inbuilt machine learning algorithms for clustering or recommendation. I am showing how to run inbuilt hmm (Hidden Markov Model) on Mahout. Currently I am running Mahout in local mode.

As per given instruction of apache mahout first take an input pattern and save it to file and call mahout to make a hmm model based on that.

With option -o we have made and output file having hmm model. Now apply this model to find prediction of any length.

I ll soon come up with more examples on machine learning using Mahout.

Machine learning algorithms are much easier to be implemented and visualized in Rstudio. Please visit this post for Installation of R & Rstudio.Other than that you can also go for python environment to implement machine learning algorithms.

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