Big Data and Machine Learning in Quantitative Investment

de

Éditeur :

Wiley


Collection :

Wiley Finance

Paru le : 2018-12-12

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
49,58

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

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, 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.
•    Gain a solid reason to use machine learning
•    Frame your question using financial markets laws
•    Know your data

•    Understand how machine learning is becoming ever more sophisticated
Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.
Pages
304 pages
Collection
Wiley Finance
Parution
2018-12-12
Marque
Wiley
EAN papier
9781119522195
EAN PDF
9781119522089

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
8346 Ko
Prix
49,58 €
EAN EPUB
9781119522218

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
10926 Ko
Prix
49,58 €