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In den WarenkorbGebunden. Zustand: 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.
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In den WarenkorbHardback or Cased Book. Zustand: New. Big Data and Machine Learning in Quantitative Investment 1.45. Book.
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In den WarenkorbZustand: New.
Verlag: John Wiley and Sons Inc, US, 2019
ISBN 10: 1119522196 ISBN 13: 9781119522195
Sprache: Englisch
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In den WarenkorbHardback. Zustand: New. Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big 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 sophisticated Machine 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.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbZustand: New.
Verlag: John Wiley and Sons Inc, US, 2019
ISBN 10: 1119522196 ISBN 13: 9781119522195
Sprache: Englisch
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In den WarenkorbHardback. Zustand: New. Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big 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 sophisticated Machine 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.
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In den WarenkorbZustand: New. 2018. 1st Edition. Hardcover. . . . . .
Verlag: John Wiley & Sons 2019-02-15, 2019
ISBN 10: 1119522196 ISBN 13: 9781119522195
Sprache: Englisch
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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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.
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In den WarenkorbZustand: New. 2018. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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In den WarenkorbHardcover. Zustand: Brand New. 285 pages. 9.50x6.50x1.00 inches. In Stock.
Verlag: John Wiley & Sons Inc, New York, 2019
ISBN 10: 1119522196 ISBN 13: 9781119522195
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. Get to know the why and how of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, its 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 sophisticated Machine 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: John Wiley & Sons Inc, New York, 2019
ISBN 10: 1119522196 ISBN 13: 9781119522195
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. Get to know the why and how of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, its 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 sophisticated Machine 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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In den WarenkorbHardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 720.
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In den WarenkorbHardcover. Zustand: Brand New. 285 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.