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Machine Learning for Financial Risk Management with Python: Algorithms for Mode
£68.66
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eBay item number:256868383541
Item specifics
- Condition
- General Category
- Books
- Product
- Mathematics
- Brand
- Unbranded
- MPN
- BVV-476482
- Publisher :
- O'Reilly Media (11 Jan. 2022)
- Language :
- English
- Paperback :
- 331 pages
- ISBN-10 :
- 1492085251
- ISBN-13 :
- 978-1492085256
- Dimensions :
- 17.78 x 1.78 x 23.34 cm
- Title
- Machine Learning for Financial Risk Management with Python: Algo
- ISBN
- 9781492085256
- Publication Year
- 2021
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Publication Name
- Machine Learning for Financial Risk Management with Python
- Item Height
- 232 mm
- Publisher
- O'reilly Media, INC International Concepts USA
- Subject
- Computer Science
- Item Width
- 178 mm
- Number of Pages
- 350 Pages
About this product
Product Information
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
Product Identifiers
Publisher
O'reilly Media, INC International Concepts USA
ISBN-13
9781492085256
eBay Product ID (ePID)
27049959499
Product Key Features
Subject
Computer Science
Publication Year
2021
Number of Pages
350 Pages
Publication Name
Machine Learning for Financial Risk Management with Python
Language
English
Type
Textbook
Format
Paperback
Dimensions
Item Height
232 mm
Item Width
178 mm
Additional Product Features
Country/Region of Manufacture
United States
Item description from the seller
Seller business information
VAT number: GB 335136225
CRN: 11658252
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- 0***t (133)- Feedback left by buyer.Past monthVerified purchaseExcellent thank you very much, much appreciated, great quality, condition brand new unused ect packed very well arrived safely and undamaged, very excited value aswell if you are working on a budget, Appearance was excellent order Yesterday 27th may and arrived safely today 28th may, excellent seller, great communication, very easy to work with i highly recommended this seller, i will be coming back todo further business with you, all the best to you in the future best regards Stacey 🥰❤️
- g***g (3972)- Feedback left by buyer.Past 6 monthsVerified purchaseThis is a 5 Star review. DVD arrived in exactly the same description as in the listing with regard to the condition and its appearance thanks due to the packaging. I would certainly purchase from this seller again in the near future as it was complete value for money. I received the DVD much, much quicker than eBay told me I would. It is appreciated greatly. Superb quality that matched the listing. Couldn't be happier. Thank you so much.
- e***d (2115)- Feedback left by buyer.Past 6 monthsVerified purchaseGreat product at a competitive price; good value for money! Extremely fast delivery; I only ordered it last night! Well packaged; it arrived in good condition. Appearance as expected. Good quality purchase. All round excellent experience. Good communication. Would reorder in future. Smooth transaction. HIGHLY recommended. Shop with confidence.
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