Design and Implementation of Machine Learning Algorithm Support Platform Based on Big Data

Abstract

Machine learning is an interdisciplinary subject in many fields. Its initial research motivation is to give computing
machine system learning ability. The early machine learning data source was single and relatively simple to process, but the
business scenarios that could be handled were limited. However, with the development of big data technology, machine learning
has made major breakthroughs in language, sound, picture and text. More and more applications hope to optimize their experience
by adding machine learning algorithms. However, the development process of machine learning applications is still relatively
complex, which often requires equipment developers and algorithm developers to work together. Algorithm developers cannot
directly optimize the computing efficiency of the platform, and developers cannot understand the specific workflow of the
algorithm, It makes the development of machine learning applications more difficult.