New opportunities and trends in international investment driven by machine learning

In the period of rapid social and economic development, international investment has always been an effective way to promote international economic and trade and regional economic development. Especially after entering the era of big data, due to the diversity and particularity of practical activities, international investment is highly dependent on data and information. Make clear the new opportunities and challenges brought by big data technology to international investment, use machine learning algorithm to study the basic content and development direction of international investment, and finally put forward effective investment methods, which can provide a reference for the subsequent investment work. In this regard, after understanding the new opportunities and challenges of international investment in the era of big data, this paper mainly studies the decentralized portfolio selection model with machine learning algorithm as the core, and verifies the application effect of various algorithms combined with experiments. Finally, it is proved that the application performance of the improved mean variance model based on random forest revenue prediction is higher.