Machine learning and data science blueprints for finance from building trading strategies to robo-advisors using Python
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies...
| Otros Autores: | , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, California :
O'Reilly
[2021]
|
| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630572606719 |
Tabla de Contenidos:
- Part 1. The framework. Machine learning in finance: the landscape
- Developing a machine learning model in Python
- Artificial neural networks
- Part 2. Supervised learning. Supervised learning : models and concepts
- Supervised learning : regression (including time series models)
- Supervised learning : classification
- Part 3. Unsupervised learning. Unsupervised learning : dimensionality reduction
- Unsupervised learning : clustering
- Part 4. Reinforcement learning and natural language processing. Reinforcement learning
- Natural language processing.
