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What is Machine Learning and How Does it Work?
Machine learning is a branch of Artificial Intelligence that enables computers to learn and make predictions based on data. It is used for solving challenging problems where we can’t find a set of rules to solve it or create an algorithm for it. These problems require computers to learn from the data and help them make predictions based on it. Machine learning algorithms read through vast amounts of data, identify patterns, and produce insights from them. It is a discipline that uses computer so as to acquire knowledge about properties and relations of various data sets. In this blog post, you will learn more about what is machine learning, its types, how it works and its applications in real life.
What is Machine Learning?
Machine learning is a discipline that uses computer so as to acquire knowledge about properties and relations of various data sets. In other words, it’s the ability of a computer program to learn without being explicitly programmed. This means that the program will get better with time, without the need to be edited and rewritten everytime. Machine learning is a subfield of computer science that studies the theory and practice of creating computer systems that can learn. It is a combination of artificial intelligence, data analysis and data engineering.
