Artificial Intelligence (AI) and machine learning innovation have been growing quickly as of late, with conceivable outcomes developing in tandem with more noteworthy accessibility of data and headways in computing capability and storage solutions. Truth be told, if you look in the background, you can spot numerous instances of machine learning innovation as of now already in a wide range of industries ranging from consumer products and social media to financial services and manufacturing. Machine learning can turn into a strong analytical tool for huge volumes of data. The blend of machine learning and edge computing can channel a large portion of the commotion gathered by IoT gadgets and leave the significant information to be analyzed by the edge and cloud analytic engines. The advances in Artificial Intelligence have enabled us to see self-driving vehicles, speech recognition, active web search, and facial and image recognition. Machine learning is the establishment of those frameworks.