Machine Learning and AI in Big Data
Introduction The convergence of machine learning (ML) and artificial intelligence (AI) with big data has transformed how organizations extract value from vast datasets. Big data, characterized by its volume, velocity, variety, veracity, and value, presents unique challenges and opportunities that ML and AI are uniquely suited to address. These technologies enable advanced pattern recognition, predictive modeling, and decision-making at scales previously unimaginable. This chapter explores the integration of ML and AI in big data, focusing on key frameworks, learning paradigms, deep learning applications, and strategies for handling imbalanced datasets. By highlighting cutting-edge applications, we aim to demonstrate how these technologies drive innovation across industries. Frameworks for Machine Learning in Big Data TensorFlow TensorFlow, developed by Google, is a versatile open-source framework designed for large-scale ML tasks. Its computational graph model enables distribu...