Danica Simic on Instagram: "Signal analysis using deep learning Jokes aside, I built an ECG Signal Analysis deep learning model using CNN-LSTM architecture to detect heart arrhythmias. The reason why I combined CNN (Convolutional Neural Networks) and LSTM recurrent neural networks is because of their excellent spatial pattern recognition which is important for PQRST waves. CNN excels at spatial pattern recognition LSTM captures temporal dependencies (rhythm patterns) So in the end I got a crazy

Time series models: The quiet revolution in AI forecasting | IBM

Time Series Forecasting: The Key Principles of a Successful System for Business

A Guide to Time Series Forecasting in Python | Built In