The most essential step in creating an effective machine learning model is to identify your problem and test your assumptions before jumping into data or algorithms.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

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