Machine learning algorithms are used everywhere from a smartphone to a spacecraft. They tell you the weather forecast for tomorrow, translate from one language into another, and suggest what TV series ...

A value that directs the machine learning process and is adjusted throughout the training process. Selected by the neural network designer, hyperparameters are chosen before any training is done.

The two biggest barriers to the use of machine learning (both classical machine learning and deep learning) are skills and computing resources. You can solve the second problem by throwing money at it ...

Recent benchmarks show that suboptimal hyperparameter choices can slash a model’s accuracy by 20%. This critical insight inspired a comprehensive review co-authored by Mr. Ikenna Odezuligbo, published ...