Convergence of Machine Learning with Blockchain Technology

Recently, ML and BCT convergence has become the most disruptive and trending technology. ML uses a large database, which emphasizes the synchronization and security of data. To handle the former issues, use the decentralization structure of BCT for the ML data, which is also immutable and uses distributed ledger, which makes the framework more secure and data reliable. ML offers intelligent machines which work similarly to hu- mans. In this paper, both technologies summarized , how they work, and their types. Also, discuss some research objectives of how ML with BCT integrated and how this technology use for analyzing traffic.