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Machine Learning Facts & Motivation

 Machine Learning Facts & Motivation Machine Learning is a technique, by which, with some data you are giving an opportunity to the computer to create some rules. Input of Machine Learning is data and the output is some set of rules. According to which it analyzes the inputs, and give the users some outputs. *Though Machine Learning is popular nowadays, but the concept of ML developed in the time of 1960s. ML was not popular that time due to tha lack of hardware equipment. But in the present time we have much better and cheaper hardware components so ML is trending. *Short History of Machine Learning: The term machine learning was coined in 1959 by Arthur Samuel, an American IBM-er and pioneer in the field of computer gaming and artificial intelligence. A representative book of the machine learning research during the 1960s was the Nilsson's book on Learning Machines, dealing mostly with machine learning for pattern classification.Interest related to pattern recognition continu
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Why Learn Machine Learning?

 Why Learn Machine Learning? If we want to know "Why Learn Machine Learning", we must know what is Machine Learning. *So What is Machine Learning? Machine learning  ( ML ) is the study of computer algorithms that improve automatically through experience.   It is seen as a subset of Artificial Intelligence. *Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks. *Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a relat
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