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.

了解机器学习和大数据在量化投资中的“为什么”和“如何”
定量投资中的大数据和机器学习不仅仅是演示数学或编码。相反，这是一本由实践者为实践者编写的书，涵盖了为什么以及如何将机器学习和大数据应用于定量金融的问题。
这本书分为13章，每一章都是由不同的作者就一个具体的案例写的。各章按复杂程度排序；从大局图和分类法开始，进入机器学习的实际应用，最后以使用深度学习的创新方法结束。
•获得使用机器学习的充分理由
•利用金融市场法律来构建你的问题
•了解您的数据
•了解机器学习如何变得越来越复杂
机器学习和大数据并不是一个神奇的解决方案，但如果应用得当，它们是非常有效的定量投资工具——这本书向你展示了如何。