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Test Development Learning Exchange
Test Development Learning Exchange
Nov 29, 2024 · Artificial Intelligence

Using LSTM Networks for Stock Price Time Series Prediction with Keras

This tutorial demonstrates how to apply an LSTM deep‑learning model in Python to forecast stock closing prices, covering data acquisition, preprocessing, model construction, training, evaluation, and visualization of results for time‑series prediction.

AIKerasLSTM
0 likes · 8 min read
Using LSTM Networks for Stock Price Time Series Prediction with Keras
Architect
Architect
Dec 26, 2015 · Artificial Intelligence

Open-Source Reference Architecture for Real-Time Stock Prediction

The article presents an open‑source, highly scalable reference architecture that combines real‑time data ingestion, machine‑learning model training, and low‑latency prediction using components such as Spring Cloud Data Flow, Apache Geode, Spark MLlib, and Hadoop to enable continuous stock price forecasting.

Apache GeodeBig DataSpring Cloud Data Flow
0 likes · 7 min read
Open-Source Reference Architecture for Real-Time Stock Prediction