Machine Learning for Asset Managers
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Machine Learning for Asset Managers by Marcos Prado
The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods.
'The book's excellent introduction explains why machine learning techniques will benefit asset managers substantially and why traditional or classical linear techniques have limitations and are often inadequate in asset managementIt makes a strong case that ML is not a black box but a set of data tools that enhance theory and improve data clarity. López de Prado focuses on seven complex problems or topics where applying new techniques developed by ML specialists will add value.' Mark S. Rzepczynski, Enterprising Investor
| SKU | Unavailable |
| ISBN 13 | 9781108792899 |
| ISBN 10 | 1108792898 |
| Title | Machine Learning for Asset Managers |
| Author | Marcos Prado |
| Series | Elements In Quantitative Finance |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Cambridge University Press |
| Year published | 2020-04-30 |
| Number of pages | 152 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |