We propose and analyze a generalized framework for distributed, delayed, and approximate stochastic gradient descent. Our framework considers n local agents who utilize their local data and ...

Existing adaptive gradient descent optimization algorithms such as adaptive gradient (Adagrad), adaptive moment estimation (Adam), and root mean square prop (RMSprop), increase the convergence speed ...

python statistics linear-algebra stock-price-prediction quantitative-finance feature-engineering equity computing hyperparameter-tuning optimization-algorithms stochastic-gradient-descent ...

Overview PrecisionEstimator is an intuitive construction estimating tool designed specifically for contractors. Built with Python, it features a user-friendly GUI, options for PDF and CSV exports, and ...