Deployment and Productionization of Machine Learning Models – From Acme to Nadir – II

Bricks and concrete that builds a machine learning home: System and Architecture. A Machine Learning system is an entity that comprises the whole infrastructure(infrastructure that includes all the hardware from RAM to normal platform building equipment), then it includes operating system that power our machine learning task and makes it simpler by providing a robust… Continue reading Deployment and Productionization of Machine Learning Models – From Acme to Nadir – II

Outliers in Data, Emphasis in Data Science.

Outlier - The Enemy under wraps Outlier: I always like to think an outlier as Shashi Tharoor placed between general English-speaking group. He would really stand out, in the way he speaks English.Well, Shashi Tharoor will be an outlier in most groups.   Outlier is a point or observation that differs significantly from the from the rest of… Continue reading Outliers in Data, Emphasis in Data Science.

Deployment and Productionization of Machine Learning Models – From Acme to Nadir – I

Data Science - the business affair The typical process of building a machine learning model involves data collection: the process used to get the data from the databases(ETL) or from any other source, then Analyzing the data, engineering and selecting features from the data to building a model on the data, and lastly analyzing model… Continue reading Deployment and Productionization of Machine Learning Models – From Acme to Nadir – I