---
title: "Abdullah Karasan Machine Learning for Financial Risk Management with Python"
ean: "9781492085256"
brand: "Abdullah Karasan"
category: "Medier > Bøger > Trykte bøger"
price_min: 749
price_max: 749
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781492085256/machine-learning-for-financial-risk-management-with-python
last_checked: 2026-10-14
---

# Abdullah Karasan Machine Learning for Financial Risk Management with Python

EAN 9781492085256 · Mærke: Abdullah Karasan · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Abdullah Karasan Machine Learning for Financial Risk Management with Python fra 1 forhandler. Billigste pris nu: 749 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781492085256/machine-learning-for-financial-risk-management-with-python

## Priser
- **Billigste pris nu:** 749 kr hos Saxo DK
- **Prisspænd:** 749 kr – 749 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 749 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and deep learning models for assessing financial risk. You'll learn how to compare results from ML models with results obtained by traditional financial risk models. Author Abdullah Karasan helps you explore the theory behind financial risk assessment before diving into the differences between traditional and ML models. Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Revisit and improve market risk models (VaR and expected shortfall) using machine learning techniques Develop a credit risk based on a clustering technique for risk bucketing, then apply Bayesian estimation, Markov chain, and other ML models Capture different aspects of liquidity with a Gaussian mixture model Use machine learning models for fraud detection Identify corporate risk using the stock price crash metric Explore a synthetic data generation process to employ in financial risk

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Kilde: PriceTracker. Fuld side med interaktiv prishistorik og købslinks: https://pricetracker.dk/p/9781492085256/machine-learning-for-financial-risk-management-with-python
Priserne er sidst kontrolleret 2026-10-14.