What Is Machine Learning and Why Is It Important? -Intellipaat

Machine learning has been around for quite some time as a concept. Arthur Samuel, a computer scientist at IBM and a pioneer in AI and computer games, created the term "machine learning." Samuel created a checkers-playing computer program. The longer the program was used, the more it learned from its mistakes and made predictions using algorithms.

Machine learning is a field that studies the research and development of algorithms that can learn from and predict data.

The value of machine learning is that it can solve issues at a speed and scale that the human intellect cannot match. Machines can be trained to discover patterns in and correlations between incoming data and automate regular activities using huge amounts of computer power behind a single task or numerous specific tasks.

Data Is Key: Machine learning's algorithms are crucial to its success. Without being explicitly coded, ML algorithms create a mathematical model based on sample data, known as "training data," to generate predictions or judgments. This can highlight data trends that firms can use to improve decision-making, increase productivity, and collect actionable data at scale.

AI Is the Goal: Machine learning lays the groundwork for AI systems that automate processes and solve data-driven business challenges on their own. It allows businesses to replace or supplement human talents. Chatbots, self-driving cars, and speech recognition are examples of real-world machine learning applications.

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