With the rapid development of information technology, computer science and technology, machine learning, and big data have become important forces driving social progress. In order to promote in-depth exchanges and cooperation in these fields, the 2024 International Conference on Computer Science and Technology, Machine Learning, and Big Data is about to be held, aiming to gather top scholars, researchers, and industry experts from around the world to jointly explore the latest developments, technological innovations, and future trends in this interdisciplinary field. This conference will focus on core topics such as the basic theory, algorithm design, and system architecture of computer science and technology. At the same time, it will explore in depth the applications of machine learning in fields such as image recognition, natural language processing, intelligent decision-making, as well as key technologies such as big data acquisition, storage, processing, analysis, and visualization. The conference aims to build an interdisciplinary and cross industry communication platform, promoting the deep integration of academic research results and industrial practice. The conference will invite renowned scholars and industry leaders from home and abroad to give keynote speeches, sharing the latest research results, technological trends, and industry insights. In addition, technical seminars, roundtable forums, and exhibition displays will be set up to provide participants with diverse opportunities for communication and cooperation. We look forward to the attendees taking this opportunity to broaden their research horizons, stimulate innovative thinking, and jointly promote the prosperous development of computer science and technology, machine learning, and big data fields. Through the convening of this conference, we hope to further deepen the connections and cooperation among scholars, researchers, and industry experts in related fields worldwide, jointly address challenges, seize opportunities, promote the integration and development of computer science and technology, machine learning, and big data, and contribute to the construction of a smart society.