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ML (Machine Learning)

< 1 min read

Our not-too-distant future in a world dominated by robots depends heavily on our ability to successfully use artificial intelligence (AI). But turning machines into human-thinking devices is not as easy as it seems. Strong artificial intelligence can be achieved through machine learning (ML), which helps machines understand like humans.

Machine learning is an application of artificial intelligence. It enables systems to learn and improve from experience without being explicitly programmed. It focuses on developing computer programs that access and use data to learn for themselves. The concept of machine learning has been around for quite some time. Arthur Samuel, a computer scientist at IBM and a pioneer in artificial intelligence and computer games, coined the term "machine learning." Arthur Samuel developed a computer program to play checkers. He observed that the longer the game, the more the program learned, using algorithms to make predictions from experience.

Machine learning explores the construction and analysis of algorithms that can learn from data and make predictions as a discipline.

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