Understanding the concept of Machine Learning by Lee Bressler

A technology enthusiast Lee Bressler says that machine learning is the field of artificial intelligence that uses a statistical technique in order to give computer system an ability to learn. Machine learning technology is also used to diagnose a serious medical condition and it can also be used in several applications. The emergence of machine learning technology is from the 1950 and Lee Bressler further suggested that with the coming year’s machine learning has gone through several changes and finally in the 1990 based on the concept of artificial intelligence pattern recognition and a map routing algorithm was developed. Later on this technology is switched from knowledge driven data to an algorithm that is designed to analyze a large amount of data before making any conclusion.

As a learner of machine learning, Lee Bressler says that machine learning is closely related to computational statistics, which also focuses on making the prediction through the use of computers. There are several types of machine learning task which are classified into various categories which include:-

• Supervised learning: - In this a computer takes a set of inputs and produces a desired output. In supervised learning Lee Bressler suggested that the main goal is to focus on the past data in order to determine the future events.

• Unsupervised learning: - In Unsupervised learning the output is predicted from several unclassified data. He says that unsupervised learning is a goal in itself.

• Semi Supervised learning:- In this form of learning the computers is given an incomplete training signal in which some of the target output is missing.

Lee Bressler recommended that based on his learning experience, he comes to the conclusion that the main goal of machine learning is to allow computers to learn automatically without any   human involvement. As a technology geek he further suggested that machine learning is one of the applications of artificial intelligence that provides ability for a system to learn automatically without being programmed explicitly.

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