Основні інструменти для реалізації нейромережного підходу в задачах прогнозування

Abstract

This work discusses the growing popularity of artificial neural networks, a fundamental aspect of AI for prediction. Inspired by human brain structure, neural networks excel at learning and generalizing complex patterns in large data sets. With Docker as a popular platform, Containerization and Apache Spark's in memory data processing engine are key tools for implementing neural networks in forecasting tasks, allowing for scalable and efficient deployment. As research progresses, neural networks are anticipated to be more significant in addressing complex pattern recognition and prediction problems.