DOI: 10.38007/978-1-80053-668-5

This book is based on this background to conduct research, taking the development of machine learning as the research object, and combining traditional machine learning, key technologies and applications of machine learning to analyze the inspiration and guidance brought to us by Guangdong business culture. The first chapter of this book introduces the current research status of machine learning under big data. The research theme of machine learning is to use computers to simulate human learning activities. It is a method of studying how computers recognize existing knowledge, acquire new knowledge, continuously improve performance, and achieve self-improvement. The second chapter mainly discusses the research topic of machine learning, mainly focusing on the clustering and classification problems of machine learning. The third chapter elaborates on machine learning algorithms in the big data environment, explores their key connotations, explores their future development trends, and analyzes some key technologies in detail. Chapter 4 explores the development trends of key machine learning technologies under big data. Chapter 5 mainly introduces machine learning applications under big data, parallel optimization techniques for graph search and deep learning algorithms for big data processing, and applications based on machine learning. 

Starting from the trend of big data, this book analyzes and summarizes the development, algorithms, and applications of machine learning, and provides theoretical references for the technology of machine learning in the new era. Machine learning is a revolutionary technology that has been integrated into many industries and is an important direction for future development. Machine learning technology enables computers to access hidden insights and predict results, leading to significant changes in business operations. This book can be used to enhance everyone's understanding of various aspects of machine learning and help them better understand the applications of machine learning. The book summarizes and analyzes the techniques of machine learning, and provides certain references based on some historical evidence. It is hoped that this book can be used as a fundamental sample to provide theoretical reference for the research of machine learning under big data.

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