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Big data and machine learning in quantitative investment /
"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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex, United Kingdom :
John Wiley & Sons Ltd,
[2019]
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| Colección: | Wiley finance
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 1, Do algorithms dream about artificial alphas? / by Michael Kollo
- 2, Taming big data / by Rado Lipuš and Daryl Smith
- 3, State of machine learning applications in investment management / by Ekaterina Sirotyuk
- 4, Implementing alternative data in an investment process / by Vinesh Jha
- 5, Using alternative and big data to trade macro assets / by Saeed Amen and Iain Clark
- 6, Big Is beautiful: how email receipt data can help predict company sales / by Giuliano De Rossi, Jakub Kolodziej and Gurvinder Brar
- 7, Ensemble learning applied to quant equity : gradient boosting in a multifactor framework / by Tony Guida and Guillaume Coqueret
- 8, A social media analysis of corporate culture / By Andy Moniz
- Machine learning and event detection for trading energy futures / by Peter Hafez and Francesco Lautizi
- 10, Natural language processing of financial news / by M. Berkan Sesen, Yazann Romahi and Victor Li
- 11, Support vector machine-based global tactical asset allocation / by Joel Guglietta
- 12, Reinforcement learning in finance / by Gordon Ritter
- 13, Deep learning in finance : prediction of stock returns with long short-term memory networks / by Miquel N. Alonso, Gilberto Batres-Estrada and Aymeric Moulin
- Biography.