Learning Rate

Random Picks

• Bandwidth Parameter: In data science, the bandwidth parameter is a key parameter in kernel density estimation (KDE) which determines the smoothness of the estimated probability density function. It controls the trade-off between bias and variance in the estimat ... Read More >>
• Metric: In Data Science, a metric is a quantitative measure used to assess the performance of a model or algorithm. Metrics are used to evaluate how well a model is performing in terms of accuracy, precision, recall, F1 score, AUC-ROC, and other pe ... Read More >>
• Cryptographic Algorithms: Cryptographic algorithms are mathematical functions used to secure digital data and communications. These algorithms are designed to provide confidentiality, integrity, and authenticity of data. Cryptographic algorithms can be divided into ... Read More >>