An Analytical Study on the Trends and Technologies Shaping the Future of Machine Learning on Big Data

(The convergence of Machine Learning (ML) and Big Data has revolutionized data-driven decision-making across various industries. As data volumes grow exponentially, the integration of advanced ML techniques with Big Data technologies becomes imperative. This paper delves into the current trends, emerging technologies, and future directions of ML in the Big Data landscape. It highlights the challenges faced, such as scalability, data privacy, and model interpretability, and discusses potential solutions. The study also explores the role of distributed computing, federated learning, and other innovations in shaping the future of ML on Big Data)