1. Overview Let’s first discuss what is Naive Bayes algorithm. “Naive Bayes classifiers are a family of simple “probabilistic classifiers” based on applying Bayes’ theorem with strong (naive) independence assumptions…
1. Overview “Confusion matrix sometimes also known as an error matrix, is a specific table layout that allows visualization of the performance of a supervised machine algorithm like naive Bayes, SVM,…
1. Overview Let’s first discuss what is Naive Bayes algorithm. “Naive Bayes classifiers are a family of simple “probabilistic classifiers” based on applying Bayes’ theorem with strong (naive) independence assumptions…
In our Previous article we have discussed about basic of machine learning, evaluation of machine learning and it’s types. In this article we will discuss about basic steps in machine learning. General…
In our previous two articles we have discussed about basic of machine learning and it’s general steps which each ML application should follow.In this article we will discuss about various…
Machine Learning – Definition The standard definition as per wiki is “Machine learning is the science of getting computers to act without being explicitly programmed.” As per data analytics we can…
