| | 資料類型 | 狀態 | 應還日期 | 預約人數 | 館藏地 | 索書號 | 條碼號 | | 教學專用 | 借出中 | 2024/08/31 | 0 | 總館
西文圖書區 | HG4521 .G795 2019 | W112596 |
| 內容簡介 | "Get to know the 'why' and 'how' of machine learning and big data in quantitative investment. Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, its a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning"--Provided by publisher.;"This forward-thinking guide goes well beyond demonstrating the maths and coding to unearth the reasoning behind the computations to provide a solid launch pad for mastering techniques today and innovating for tomorrow. This single, convenient resource enables you to: understand the proper applications for machine learning and big data, integrate your own domain knowledge of financial into tactical algorithmic strategies, and quickly come up to speed on the most sophisticated developments in machine learning"--Back cover. |
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