Machine Learning (ML) – It is the hottest subject of today’s time. DataScientist is the sexiest job of today but 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 as […]
Generative Adversarial Networks (GANs) – A very young family member of Deep Neural Networks Architecture. Introduce by Ian Goodfellow and his team at the University of Montreal in 2014. GANs are class of unsupervised machine learning algorithm. Adversarial training “The most interesting idea in the last 10 years in the field […]
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 learn from interaction with environment to achieve a goal or simply learns from reward and punishments. This learning is inspired by behaviourism phycology. Reinforcement Learning (RL) – History From the best research I got the […]
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 […]