It has been proposed by E. Gelenbe in 1989. A Random Neural Network is a compose of Random Neurons and Spikes that circulates through the network. According to this model, each neuron has a positive ...

SimFin is a database with financial data such as Income Statements, Balance Sheets and Cash Flow Statements, along with a simple Python API for downloading and using the data. These tutorials show how ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Today I brushed off my painting skills and followed a Christmas and winter-themed Bob Ross painting tutorial. The only problem is I'm not a great painter, and to put myself at even more of a ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

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BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...