Machine Learning (ML) – It is the hottest subject of today’s time. DataScientist is the sexiest job of today but the implementation of these buzz words in real business is missing big time. The real need is to clarify, demonstrate, extract real values and reap rewards. “Machine Learning” sounds […]
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 […]