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9780367639723 - Machine Learning for Factor Investing: Python Version di Coqueret, Guillaume; Guida, Tony (32 risultati)
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Machine Learning for Factor Investing : Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: GreatBookPrices, Columbia, MD, U.S.A.
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MACHINE LEARNING FOR FACTOR INVESTING PYTHON VERSION (PB 2023)
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Basi6 International, Irving, TX, U.S.A.
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MACHINE LEARNING FOR FACTOR INVESTING
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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MACHINE LEARNING FOR FACTOR INVESTING
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Basi6 International, Irving, TX, U.S.A.
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Machine Learning for Factor Investing : Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Machine Learning for Factor Investing: Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Books Puddle, New York, NY, U.S.A.
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Machine Learning for Factor Investing: Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Majestic Books, Hounslow, Regno Unito
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Machine Learning for Factor Investing (Paperback)
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsLingua: Inglese
Editore: Taylor & Francis Ltd, London, 2023
ISBN 10: 0367639726 ISBN 13: 9780367639723
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condizione: new. Paperback. Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out-of-reach. Machine learning for factor investing: Python version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics.The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees and causal models.All topics are illustrated with self-contained Python code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise. Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning for Factor Investing: Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Biblios, Frankfurt am main, HESSE, Germania
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Machine Learning for Factor Investing
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: PBShop.store US, Wood Dale, IL, U.S.A.
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Machine Learning for Factor Investing
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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Machine Learning for Factor Investing : Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series)
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsLingua: Inglese
Editore: Chapman and Hall/CRC 2023-08-08, 2023
ISBN 10: 0367639726 ISBN 13: 9780367639723
Da: Chiron Media, Wallingford, Regno Unito
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Machine Learning for Factor Investing: Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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Machine Learning for Factor Investing (Chapman and Hall/CRC Financial Mathematics Series)
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Ria Christie Collections, Uxbridge, Regno Unito
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Machine Learning for Factor Investing : Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Machine Learning for Factor Investing: Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Machine Learning for Factor Investing
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsLingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
ISBN 10: 0367639726 ISBN 13: 9780367639723
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Aggiungi al carrelloPaperback. Condizione: New. 1st. Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out-of-reach. Machine learning for factor investing: Python version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics.The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees and causal models.All topics are illustrated with self-contained Python code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise.
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MACHINE LEARNING FOR FACTOR INVESTING
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Speedyhen, Hertfordshire, Regno Unito
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Machine Learning for Factor Investing: Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Kennys Bookstore, Olney, MD, U.S.A.
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Edizione InternazionaleMACHINE LEARNING FOR FACTOR INVESTING
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: UK BOOKS STORE, London, LONDO, Regno Unito
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Edizione Internazionale
MACHINE LEARNING FOR FACTOR INVESTING PYTHON VERSION (PB 2023)
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsLingua: Inglese
Editore: TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2023
ISBN 10: 0367639726 ISBN 13: 9780367639723
Da: UK BOOKS STORE, London, LONDO, Regno Unito
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Aggiungi al carrelloCondizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Machine Learning for Factor Investing (Paperback)
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsLingua: Inglese
Editore: Taylor & Francis Ltd, London, 2023
ISBN 10: 0367639726 ISBN 13: 9780367639723
Da: AussieBookSeller, Truganina, VIC, Australia
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out-of-reach. Machine learning for factor investing: Python version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics.The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees and causal models.All topics are illustrated with self-contained Python code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise. Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series)
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloCondizione: New. Guillaume Coqueret is associate professor of finance and data science at EMLYON Business School. His recent research revolves around applications of machine learning tools in financial economics. Tony Guida is co-head of Systemati.
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Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series)
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: BestAroundDeals, Grand Rapids, MI, U.S.A.
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Prima edizione
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Machine Learning for Factor Investing
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsLingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2023
ISBN 10: 0367639726 ISBN 13: 9780367639723
Da: Rarewaves.com UK, London, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. 1st. Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out-of-reach. Machine learning for factor investing: Python version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics.The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees and causal models.All topics are illustrated with self-contained Python code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise.
-
Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series)
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: Revaluation Books, Exeter, Regno Unito
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EUR 116,27
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Aggiungi al carrelloPaperback. Condizione: Brand New. 368 pages. 10.00x7.00x0.47 inches. In Stock. This item is printed on demand.
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Machine Learning for Factor Investing: Python Version
Libro 61 di 71: Chapman and Hall/CRC Financial MathematicsDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 113,83
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
