Reinforcement learning is a type of machine learning where an agent learns by interacting with its environment and receiving feedback in the form of rewards or penalties.

MIT's definition reads, "Machine-learning algorithms use statistics to find patterns in massive amounts of data, [including] numbers, words, images, clicks, what have you.

Machine learning is a field of study within artificial intelligence, concerned with making algorithms that can learn from experience and thus improve their own performance.

Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing large sets of data.

Machine learning defined Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data.

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

“Successful machine learning is only as good as the data available, which is why it needs new, updated data to provide the most accurate outputs or predictions for any given need,” said ...

What does machine learning actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Machine Learning continues to transform the ways we live our lives and run our businesses. However, the meaning and implications of what machine learning is in 2017 are not fully understood by ...

References to machine learning are everywhere -- here's a guide to understanding how it works.