Naive Bayes – A Classification algorithm under supervised learning based on probabilistic logic. This probabilistic (science of uncertainty and data) algorithm is used for making prediction in a classification fashion after predictive model gets fully tested. Naïve bayes Classifier is definitive and most important milestone to understand and to begin machine […]
Classification and Regression – Both the techniques are part of supervised machine learning. Principally both of them have one common goal i.e. to make predictions or take decision by using the past data as underlined foundations. There is one major difference as well; classification predictive output is a label […]
AILabPage defines Deep learning is “Undeniably a mind-blowing synchronisation technique applied on data with computing power, skills and experience which practically has no limits“.
Unsupervised learning helps to find hidden jewel in data by grouping similar things together. Data have no target attribute. Algorithm takes training examples as the set of attributes/features alone. In this post I have summarise my whole upcoming book “Unsupervised Learning – The Unlabeled Data Treasure” in one page. […]