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Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk
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Developers, programmers, engineers, financial and risk analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modelling skills, you'll learn how to replace traditional financial risk models with ML models.
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Detalles de producto
- Guide for modeling financial risk using machine learning with Python
- Incorporates new machine learning-based modeling approaches in financial risk management
- Intended for financial risk analysts, engineers, model validators, and those interested in finance and data science
- Includes brief explanations of finance and machine learning for readers with initial knowledge
- Aims to improve predictive and measurement performance of financial models using flexible machine learning models
- Published by O'Reilly, a trusted source with over 40 years of experience in enabling success through knowledge sharing
| Publisher | O'Reilly Media |
| Publication date | January 11, 2022 |
| Edition | 1st |
| Language | English |
| Print length | 331 pages |
| ISBN-10 | 1492085251 |
| ISBN-13 | 978-1492085256 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 0.5 x 9.25 inches (17.8 x 1.3 x 23.5 cm) |
Who Should Buy?
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Finance Professionals
Ideal for finance professionals looking to integrate machine learning techniques into risk management strategies effectively.
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Data Scientists
Helpful for data scientists aiming to specialize in financial applications of machine learning technologies for risk assessment.
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Students
Beneficial for students of finance or data science who want to learn about practical applications of machine learning.
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Beginners
Not suitable for complete beginners without foundational knowledge in finance or programming languages like Python.
DESCRIPCIÓN DEL PRODUCTO
Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk
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Risk Management Editorial Review
Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk is a comprehensive guide published by O'Reilly Media on January 11, 2022. This first edition spans 331 pages, focusing on essential algorithms for modeling financial risks. The book is designed for professionals and students interested in the intersection of finance and machine learning, written in English to cater an international audience. It measures 7 x 0.5 x 9.25 inches and weighs 2.31 pounds, making it a portable yet informative resource for mastering risk management techniques using Python.
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ventajas
- Comprehensive coverage of financial risk management techniques
- Practical examples for real-world application
- Accessible for both beginners and advanced users
- Structured approach to learning machine learning
- Clear explanations of complex algorithms
Contras
- May require previous knowledge of Python programming
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características y beneficios
- Learn how to assess financial risk with Python-based machine learning models
- Replace traditional financial risk models with machine learning models
- Develop skills in AI-based financial modelling
- Improve VaR and ES models using ML techniques
- Use clustering and Bayesian approaches for credit risk analysis
- Predict stock price crash with machine learning models
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