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In den WarenkorbPaperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Hardcover. Zustand: Très bon. Couverture différente. Edition 2001. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Different cover. Edition 2001. Ammareal gives back up to 15% of this item's net price to charity organizations.
Hardcover. Zustand: Très bon. Ancien livre de bibliothèque. Couverture différente. Edition 2001. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 2001. Ammareal gives back up to 15% of this item's net price to charity organizations.
Anbieter: BooksRun, Philadelphia, PA, USA
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In den WarenkorbHardcover. Zustand: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Anbieter: Studibuch, Stuttgart, Deutschland
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In den Warenkorbhardcover. Zustand: Sehr gut. Seiten; 9781119522195.2 Gewicht in Gramm: 1.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 58,52
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In den WarenkorbBuch. Zustand: Neu. Neuware - Get to know the 'why' and 'how' of machine learning and big data in quantitative investmentBig Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it's a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance.The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning.\* Gain a solid reason to use machine learning\* Frame your question using financial markets laws\* Know your data\* Understand how machine learning is becoming ever more sophisticatedMachine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment -- and this book shows you how.
EUR 45,80
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In den WarenkorbCouverture rigide. Zustand: bon. RO40275209: 2000. In-4. Relié. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 132 pages augmentées de nombreuses photos en couleur dans et hors texte . Jaquette en bon état . Avec Jaquette. . . Classification Dewey : 641-Nourriture et boisson.
EUR 48,06
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In den WarenkorbZustand: New. TONY GUIDA is a senior investment manager in quantitative equity at the investment manager of a major UK pension fund in London, where he manages multifactor systematic equity portfolios. During his career, he held such positions as senior consultant for sm.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 91,66
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 95,44
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In den WarenkorbZustand: New. In.
EUR 93,89
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In den WarenkorbZustand: 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.
EUR 97,68
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In den WarenkorbZustand: 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 executive dir.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 252,54
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In den WarenkorbZustand: New. In.