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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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