Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

Machine learning algorithms can rapidly analyze vast sums of data, uncovering patterns, insights and trends. This information can then be used to do things like prevent fraud and create hyper ...

• Machine learning (ML) algorithms can analyze enormous volumes of financial data in real time, allowing them to spot patterns and trends and make more informed trading decisions.