Discussing the article: "Data Science and Machine Learning (Part 25): Forex Timeseries Forecasting Using a Recurrent Neural Network (RNN)"
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Check out the new article: Data Science and Machine Learning (Part 25): Forex Timeseries Forecasting Using a Recurrent Neural Network (RNN).
Recurrent neural networks (RNNs) excel at leveraging past information to predict future events. Their remarkable predictive capabilities have been applied across various domains with great success. In this article, we will deploy RNN models to predict trends in the forex market, demonstrating their potential to enhance forecasting accuracy in forex trading.
At the core of Recurrent Neural Networks(RNNs), there are feedforward neural networks interconnected in such a way that the next network has the information from the previous one, giving the simple RNN the ability to learn and understand the current information based on the prior ones.
To understand this better, let us look at an example where we want to teach the RNN model for a chatbot, we want our chatbot to understand the words and sentences from a user, suppose the sentence received is; What time is it?
Author: Omega J Msigwa