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

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

<p><b>Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment</b></p> <p><i>Big Data and Machine Learning in Quantitative Investment </i>is not just about demonstrating the maths or the coding. Instead, it’s a book <i>by</i> practitioners <i>for</i> practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance.</p> <p>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.</p> <p>•    Gain a solid reason to use machine learning</p> <p>•    Frame your question using financial markets laws</p> <p>•    Know your data<br /><br />•    Understand how machine learning is becoming ever more sophisticated</p> <p>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.</p>