Description

Description

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.

Big Data and Machine Learning in Quantitative Investment

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£42.00

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Hardback by Tony Guida

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Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine... Read more

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    Publisher: John Wiley & Sons Inc
    Publication Date: 15/02/2019
    ISBN13: 9781119522195, 978-1119522195
    ISBN10: 1119522196

    Number of Pages: 304

    Non Fiction , Business, Finance & Law

    Description

    Description

    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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