适合人群:Financial Analysts, Data Scientists, Quantitative Researchers, Computer Engineers, Finance Students, Engineers interested in finance, professionals in the financial industry looking to apply machine learning techniques
This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment. The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and engineering.
Machine Learning For Financial Engineering (Advances in Computer Science and Engineering分类索引数据信息
ISBN:9781848168138
出版日期:2012-5-16 适合人群:Financial Analysts, Data Scientists, Quantitative Researchers, Computer Engineers, Finance Students, Engineers interested in finance, professionals in the financial industry looking to apply machine learning techniques