Machine learning for finance the practical guide to using data-driven algorithms in banking, insurance, and investments
A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine learning and how to put them to work in financial industries Clear explanation and expert discussion of how machine learning works, with an emphasis on financial app...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England ; Mumbai :
Packt
[2019]
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| Edición: | 1st edition |
| Colección: | Expert insight
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630606306719 |
Tabla de Contenidos:
- Neural networks and gradient-based optimization
- Applying machine learning to structured data
- Utilizing computer vision
- Understanding time series
- Parsing textual data with natural language processing
- Using generative models
- Reinforcement learning for financial markets
- Privacy, debugging, and launching your products
- Fighting bias
- Bayesian inference and probabilistic programming.
