Naive Bayes – A classification algorithm under supervised learning group based on probabilistic logic. This is one of the simplest machine learning algorithm of all times. Generative algorithms from GANs are also used as classifiers, interestingly they can do much more than categorisation though. Logistic regression is another classification […]
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. […]
ML instructs an algorithm to learn for itself by analysing data. Algorithms here learn a mapping of input to output, detection of patterns or by reward. The more data it processes, the smarter the algorithm gets.