For example, the tree depth in a ... As expected, the hyperparameter values from the generated sequence are used in no decreasing or increasing order: white and red dots mix randomly in the plot.

Hyperparameter tuning is a critical step in developing effective machine learning models. Grid Search and Random Search are two popular methods for finding the optimal set of hyperparameters.

By Ayo Onikoyi Tuning in Machine Learning Recent benchmarks show that suboptimal hyperparameter choices can slash a model’s accuracy by 20%. This critical insight inspired a comprehensive review ...

Intel Corp. today said that it’s buying Andreessen Horowitz-backed artificial intelligence startup SigOpt Inc. for an undisclosed sum.SigOpt, based in San Francisco, develops a software platfo ...