What experts have to say about the use of machine learning in the newsroom, and what data journalists can learn from it — Notes from the 2018 NICAR conference

In 1959, Arthur Samuel, a pioneer in machine learning, defined it as the ‘field of study that gives computers the ability to learn without being explicitly programmed’. Machine learning can translate to using algorithms to parse through data, recognise patterns, and then make predictions and assessments based on what the algorithms have learnt.

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