Research on Data Preprocessing Based on MATLAB Machine Learning
Data preprocessing plays a crucial role in machine learning,but in large-scale datasets,traditional prepro-cessing methods may face problems such as slow processing speed and low efficiency.To solve this problem,Parallel Computing technology is currently mainly used to accelerate data preprocessing.Firstly,the importance of data pre-processing in machine learning is introduced,as well as the application of MATLAB in machine learning.Then,common data preprocessing methods are introduced in detail,and how to use Parallel Computing technology to ac-celerate the data preprocessing process is discussed.The effectiveness of Parallel Computing technology in accelerat-ing data preprocessing has been verified through experiments.The experimental results show that using Parallel Computing technology can significantly reduce data preprocessing time and improve processing efficiency.Finally,the experimental results are summarized,and prospects and suggestions for future work are proposed.
Data preprocessingMachine learningMATLABParallel Computing technology
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