Generative Adversarial Networks (GANs) – Combination of two neural networks which is a very effective generative model network, works simply opposite to others. The other neural network models take usually complex input and output is simple but in GANs it’s just opposite. GANs are a very young family member of […]
AI is “A some what successful attempt to create intelligent machines that work and react like humans.” It is created by humans to behave like a humans for helping to make human life better.
Reinforcement Learning (RL) – A more general form of machine learning than supervised learning or unsupervised learning. It learns from interaction with the environment to achieve a goal or simply learns from reward (positive adjustment) and punishments (negative adjustment). This learning is inspired by behaviourism phycology. Point to note here is, there is nothing […]
Naive Bayes – A classification algorithm under supervised learning group based on probabilistic logic. This is one of the simplest machine learning algorithms 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 predictive output is a label and for regression its a quantity. Generative algorithms can also be used as classifiers. It just so happens that they can do more than categorising the input data. Can call classification as sorting and regression as connecting technique as well.