Machine learning algorithms. Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the ...

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.

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Information Age has created a simple guide to AI, machine learning, neural networks, deep learning and random forests. Classification and Regression The Random Forest algorithm allows classification ...

At around that time, Andrew Ng, worked out that by using GPUs in a neural network could increase the speed of deep learning algorithms 1,000 fold. Describing the latest in neural networks, Marc Warner ...

Environment The (Random) Forests for the Trees: How Our Spillover Model Works ProPublica borrowed machine learning methods from academic research to better understand links between forest loss and ...