Tech.- The way I see

Work flow usually represent the steps to be carried to obtain a desired  output. We can say its a representation of the various  stages data should go through in order to obtain a machine learning model. The out come of the Machine learning workflow is the black box model which represent the relationship between the input data and and the output information. There are 2 types of machine learning problems Supervised and Unsupervised .Now we can concentrate on supervised learning where data used will have labels along with features whereas in unsupervised learning data will be consist of only features. What do you mean by "Feature set"?  Feature set is the set of measurable properties of data that is being observed to get the result. Consider an example of judging whether a given fruit is apple or orange we need to study/observe various characteristics of given fruit such as color,taste shape etc. All the property which describes a particular object can't be...

Machine Learning! Sounds awesome right? Yeah a new era of creating algorithm which is data driven and self learning has been started already.So why to waste time lets explore few basic things about machine learning. What is Machine Learning? The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience. Various successful machine learning application has been developed in recent years ranging from data-mining program that learn to detect credit card fraud to information filtering field where it detects person's interest and provides suggestions. What is Machine Learning Algorithm? A machine learning algorithm is an algorithm that is able to learn from data. According to Michell(1997) the formal definition of Machine Learning is as follows: " A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performa...