Big Data and machine learning in quantitative investment
- ISBN: 9781119522195
- Editorial: John Wiley & Sons, Inc.
- Fecha de la edición: 2019
- Lugar de la edición: Hoboken (NJ). Estados Unidos de Norteamérica
- Encuadernación: Cartoné
- Medidas: 23 cm
- Nº Pág.: 296
- Idiomas: Inglés
Papel: Cartoné
65,23 €
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'Big Data and Machine Learning in Quantitative Investment' is not just about demonstrating the maths or the coding. Instead, it's 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.
