MACHINE LEARNING

Supervised Learning is one of the successful types of Machine Learning. Remember that supervised learning is predicting the outcome from given input where we have examples of input-output pairs. The Goal is to “ predict the outcome for unseen data ”. One important thing about supervised Machine Learning is it requires human effort to build a training set ( input-output pairs), but later automates and often speeds up the task. There are two types of Supervised Machine Learning Algorithm Classification   Regression Classification: The goal of Classification is to predict a class label (which can be termed as outcome sometimes). Classification can sometimes be distinguishing between exactly two classes which are called  binary classification and classification between more than two classes are called multiclass classification . Binary classification can be referred to as answering a YES/NO question. For example, Is this email spam? The answer is either yes or no. Exa...

The basic definition of Machine Learning can be: “ Give computers the ability to learn without explicitly programmed ”. OR “ The process where the machines learn from data and improve from previous experiences without human intervention ”. And this data can be labeled or unlabeled. We have seen the internet definition of Machine Learning above, but what actually is this and why Machine Learning? In earlier days, if we want to decide upon any decision, we used “if” and “else” to process the given input and adjusted to get the desired output. Yes, it is easy to apply on the applications which are easier at understanding, but there are some disadvantages, The logic which is written is only for a single task, if we want to rewrite the logic, we need to rewrite the whole system as well. The problem and logic may be bigger where the human experts cannot handle. But Machine Learning Algorithms have no such type of problems. The most successful kinds of machine learning algo...