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 […]
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.
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 […]
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.