Research on the Machine Learning Platform Design Scheme Based on the Spark Platform

In the continuous innovation of computer technology, artificial intelligence technology has played a positive role in industrial production and daily life. Especially with the advent of the era of big data, cloud computing and Internet of Things technology has attracted people's attention. Using Spark to build a machine learning platform has become the main direction for guests and scholars to explore and analyze. In the study of practical construction, the machine learning platform with Spark as the core should be built with a clear grasp of distributed cluster technology and cloud computing, so as to flexibly use existing computing resources and improve the processing efficiency of practical data. At the same time, experimental comparative analysis should be carried out under the conditions of one-click environment and Hadoop, which proves that the hybrid architecture machine learning platform constructed in this paper has strong application performance.