Big Data and Machine Learning in Quantitative Investment (Wiley Finance)

Guida, Tony

ISBN 10: 1119522196 / ISBN 13: 9781119522195

Verlag: Wiley, 2019

Beschreibung

Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Bestandsnummer des Verkäufers 00074888833

Bibliografische Details

Titel: Big Data and Machine Learning in ...

Verlag: Wiley

Erscheinungsdatum: 2019

Einband: Hardcover

Zustand: Very Good

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Reseña del editor:

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.