![]() ![]() Samuel designed a computer program for playing checkers. ![]() The term “machine learning” was coined by Arthur Samuel, a computer scientist at IBM and a pioneer in AI and computer gaming. Machine learning as a concept has been around for quite some time. The primary aim of ML is to allow computers to learn autonomously without human intervention or assistance and adjust actions accordingly. It looks for patterns in data so it can later make inferences based on the examples provided. The machine learning process begins with observations or data, such as examples, direct experience or instruction. With entities defined, deep learning can begin. Similar to how the human brain gains knowledge and understanding, machine learning relies on input, such as training data or knowledge graphs, to understand entities, domains and the connections between them. Machine learning focuses on developing computer programs that can access data and use it to learn for themselves. Machine learning is an application of AI that enables systems to learn and improve from experience without being explicitly programmed. Machine learning can be confusing, so it is important that we begin by clearly defining the term: ![]() Strong AI can only be achieved with machine learning (ML) to help machines understand as humans do. ![]() However, transforming machines into thinking devices is not as easy as it may seem. The robot-depicted world of our not-so-distant future relies heavily on our ability to deploy artificial intelligence (AI) successfully. ![]()
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